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The Asymptotic Variance of Semiparametric Estimators
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Cited by:
- Wu, Ximing & Sickles, Robin, 2018.
"Semiparametric estimation under shape constraints,"
Econometrics and Statistics, Elsevier, vol. 6(C), pages 74-89.
- Wu, Ximing & Sickles, Robin, 2014. "Semiparametric Estimation under Shape Constraints," Working Papers 15-021, Rice University, Department of Economics.
- Matias D. Cattaneo & Max H. Farrell & Michael Jansson & Ricardo Masini, 2022. "Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators," Papers 2301.00277, arXiv.org, revised Feb 2024.
- Florin Maican & Matilda Orth, 2017.
"Productivity Dynamics and the Role of ‘Big-Box’ Entrants in Retailing,"
Journal of Industrial Economics, Wiley Blackwell, vol. 65(2), pages 397-438, June.
- Maican, Florin & Orth, Matilda, 2008. "Productivity Dynamics and the Role of “Big-Box” Entrants in Retailing," Working Papers in Economics 328, University of Gothenburg, Department of Economics.
- Maican, Florin & Orth, Matilda, 2012. "Productivity Dynamics and the Role of “Big-Box” Entrants in Retailing," Working Paper Series 898, Research Institute of Industrial Economics, revised 31 Aug 2015.
- Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018.
"High-dimensional econometrics and regularized GMM,"
CeMMAP working papers
CWP35/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-Dimensional Econometrics and Regularized GMM," Papers 1806.01888, arXiv.org, revised Jun 2018.
- Kyle Colangelo & Ying-Ying Lee, 2020. "Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments," Papers 2004.03036, arXiv.org, revised Sep 2023.
- Victor Aguirregabiria & Arvind Magesan, 2020.
"Identification and Estimation of Dynamic Games When Players’ Beliefs Are Not in Equilibrium,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(2), pages 582-625.
- Victor Aguirregabiria & Arvind Magesan, "undated". "Identification and Estimation of Dynamic Games when Players' Beliefs Are Not in Equilibrium," Working Papers 2012-03, Department of Economics, University of Calgary.
- Victor Aguirregabiria & Arvind Magesan, 2012. "Identification and estimation of dynamic games when players' beliefs are not in equilibrium," Working Papers tecipa-449, University of Toronto, Department of Economics.
- Aguirregabiria, Victor & Magesan, Arvind, 2015. "Identification and Estimation of Dynamic Games when Players' Beliefs Are Not in Equilibrium," CEPR Discussion Papers 10872, C.E.P.R. Discussion Papers.
- Iván Díaz & Nima S. Hejazi, 2020. "Causal mediation analysis for stochastic interventions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(3), pages 661-683, July.
- Jiafeng Chen & David M. Ritzwoller, 2021. "Semiparametric Estimation of Long-Term Treatment Effects," Papers 2107.14405, arXiv.org, revised Aug 2023.
- El Moctar Laghlal & Abdoul Aziz Junior Ndoye, 2018. "A Hybrid MCMC Sampler for Unconditional Quantile Based on Influence Function," Econometrics, MDPI, vol. 6(2), pages 1-11, May.
- Gayle, Wayne-Roy, 2013. "Identification and N-consistent estimation of a nonlinear panel data model with correlated unobserved effects," Journal of Econometrics, Elsevier, vol. 175(2), pages 71-83.
- Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP72/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Xiaohong Chen & Oliver Linton & Ingrid Van Keilegom, 2003.
"Estimation of Semiparametric Models when the Criterion Function Is Not Smooth,"
Econometrica, Econometric Society, vol. 71(5), pages 1591-1608, September.
- Xiaohong Chen & Oliver Linton & Ingred van Keilegom, 2002. "Estimation of semiparametric models when the criterion function is not smooth," CeMMAP working papers CWP02/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chen, Xiaohong & Linton, Oliver & Van Keilegom, Ingrid, 2003. "Estimation of semiparametric models when the criterion function is not smooth," LSE Research Online Documents on Economics 2167, London School of Economics and Political Science, LSE Library.
- Xiaohong Chen & Oliver Linton & Ingrid Van Keilegom, 2003. "Estimation of Semiparametric Models when the Criterion Function is not Smooth," STICERD - Econometrics Paper Series 450, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
- Kyoo il Kim, 2019. "Efficiency of Average Treatment Effect Estimation When the True Propensity Is Parametric," Econometrics, MDPI, vol. 7(2), pages 1-13, May.
- Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael, 2014.
"Small Bandwidth Asymptotics For Density-Weighted Average Derivatives,"
Econometric Theory, Cambridge University Press, vol. 30(1), pages 176-200, February.
- Matias D. Cattaneo & Richard K. Crump & Michael Jansson, 2008. "Small Bandwidth Asymptotics for Density-Weighted Average Derivatives," CREATES Research Papers 2008-24, Department of Economics and Business Economics, Aarhus University.
- Cattaneo, Matias D & Crump, Richard K & Jansson, Michael, 2014. "Small Bandwidth Asymptotics For Density-Weighted Average Derivatives," Department of Economics, Working Paper Series qt3jd237cg, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Semykina, Anastasia & Wooldridge, Jeffrey M., 2010.
"Estimating panel data models in the presence of endogeneity and selection,"
Journal of Econometrics, Elsevier, vol. 157(2), pages 375-380, August.
- Anastasia Semykina & Jeffrey M. Woodridge, 2010. "Estimating Panel Data Models in the Presence of Endogeneity and Selection," Working Papers wp2010_10_01, Department of Economics, Florida State University.
- Ai, Chunrong & Chen, Xiaohong, 2007. "Estimation of possibly misspecified semiparametric conditional moment restriction models with different conditioning variables," Journal of Econometrics, Elsevier, vol. 141(1), pages 5-43, November.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2018.
"Double/debiased machine learning for treatment and structural parameters,"
Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-68, February.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins, 2017. "Double/debiased machine learning for treatment and structural parameters," CeMMAP working papers CWP28/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2017. "Double/Debiased Machine Learning for Treatment and Structural Parameters," NBER Working Papers 23564, National Bureau of Economic Research, Inc.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins, 2017. "Double/debiased machine learning for treatment and structural parameters," CeMMAP working papers 28/17, Institute for Fiscal Studies.
- Xiaohong Chen & Andres Santos, 2018.
"Overidentification in Regular Models,"
Econometrica, Econometric Society, vol. 86(5), pages 1771-1817, September.
- Xiaohong Chen & Andres Santos, 2015. "Overidentification in Regular Models," Cowles Foundation Discussion Papers 1999, Cowles Foundation for Research in Economics, Yale University.
- Xiaohong Chen & Andres Santos, 2015. "Overidentification in Regular Models," Cowles Foundation Discussion Papers 1999R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2018.
- Victor Aguirregabiria & Arvind Magesan, "undated".
"Soultion and Estimation of Dynamic Discrete Choice Structural Models Using Euler Equations,"
Working Papers
2016-32, Department of Economics, University of Calgary, revised 24 May 2016.
- Victor Aguirregabiria & Arvind Magesan, 2016. "Solution and Estimation of Dynamic Discrete Choice Structural Models Using Euler Equations," Working Papers tecipa-562, University of Toronto, Department of Economics.
- Aguirregabiria, Victor & Magesan, Arvind, 2016. "Solution and Estimation of Dynamic Discrete Choice Structural Models Using Euler Equations," CEPR Discussion Papers 11300, C.E.P.R. Discussion Papers.
- Ichimura, Hidehiko & Todd, Petra E., 2007.
"Implementing Nonparametric and Semiparametric Estimators,"
Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 74,
Elsevier.
- Hidehiko Ichimura & Petra E. Todd, 2006. "Implementing Nonparametric and Semiparametric Estimators," CIRJE F-Series CIRJE-F-452, CIRJE, Faculty of Economics, University of Tokyo.
- Sant’Anna, Pedro H.C. & Zhao, Jun, 2020.
"Doubly robust difference-in-differences estimators,"
Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
- Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
- Hahn, Jinyong & Liao, Zhipeng & Ridder, Geert & Shi, Ruoyao, 2023. "The influence function of semiparametric two-step estimators with estimated control variables," Economics Letters, Elsevier, vol. 231(C).
- Drew Fudenberg & Whitney Newey & Philipp Strack & Tomasz Strzalecki, 2020.
"Testing the drift-diffusion model,"
Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(52), pages 33141-33148, December.
- Drew Fudenberg & Whitney K. Newey & Philipp Strack & Tomasz Strzalecki, 2019. "Testing the Drift-Diffusion Model," Papers 1908.05824, arXiv.org.
- Ruoxuan Xiong & Allison Koenecke & Michael Powell & Zhu Shen & Joshua T. Vogelstein & Susan Athey, 2021.
"Federated Causal Inference in Heterogeneous Observational Data,"
Papers
2107.11732, arXiv.org, revised Apr 2023.
- Xiong, Ruoxuan & Koenecke, Allison & Powell, Michael & Shen, Zhu & Vogelstein, Joshua T. & Athey, Susan, 2021. "Federated Causal Inference in Heterogeneous Observational Data," Research Papers 3990, Stanford University, Graduate School of Business.
- Severini, Thomas A. & Tripathi, Gautam, 2012.
"Efficiency bounds for estimating linear functionals of nonparametric regression models with endogenous regressors,"
Journal of Econometrics, Elsevier, vol. 170(2), pages 491-498.
- Thomas A. Severini & Gautam Tripathi, 2007. "Efficiency Bounds for Estimating Linear Functionals of Nonparametric Regression Models with Endogenous Regressors," Working papers 2007-18, University of Connecticut, Department of Economics.
- Thomas A. Severini & Gautam Tripathi, 2007. "Efficiency bounds for estimating linear functionals of nonparametric regression models with endogenous regressors," CeMMAP working papers CWP13/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Callaway, Brantly & Sant’Anna, Pedro H.C., 2021.
"Difference-in-Differences with multiple time periods,"
Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
- Brantly Callaway & Pedro H. C. Sant'Anna, 2018. "Difference-in-Differences with Multiple Time Periods," Papers 1803.09015, arXiv.org, revised Dec 2020.
- Konrad Menzel, 2021. "Structural Sieves," Papers 2112.01377, arXiv.org, revised Apr 2022.
- Batarce, Marco & Ivaldi, Marc, 2014. "Urban travel demand model with endogenous congestion," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 331-345.
- Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2020.
"Identification and Efficiency Bounds for the Average Match Function Under Conditionally Exogenous Matching,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 303-316, April.
- Bryan S. Graham & Guido Imbens & Geert Ridder, 2016. "Identification and efficiency bounds for the average match function under conditionally exogenous matching," CeMMAP working papers CWP10/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2016. "Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching," NBER Working Papers 22098, National Bureau of Economic Research, Inc.
- Dennis Kristensen, 2009. "Semiparametric modelling and estimation (in Russian)," Quantile, Quantile, issue 7, pages 53-83, September.
- C de Chaisemartin & X D’HaultfŒuille, 2018.
"Fuzzy Differences-in-Differences,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(2), pages 999-1028.
- de Chaisemartin, Clement & D'Haultfoeuille, Xavier, "undated". "Fuzzy Differences-in-Differences," Economic Research Papers 270218, University of Warwick - Department of Economics.
- Clément de Chaisemartin, 2012. "Fuzzy differences in differences," PSE Working Papers halshs-00671368, HAL.
- Clément de Chaisemartin & Xavier d'Haultfoeuille, 2015. "Fuzzy differences-in-differences," CeMMAP working papers 69/15, Institute for Fiscal Studies.
- Clément de Chaisemartin & Xavier d'Haultfoeuille, 2015. "Fuzzy differences-in-differences," CeMMAP working papers CWP69/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- de Chaisemartin, Clement & D'Haultfoeuille, Xavier, 2015. "Fuzzy Differences-in-Differences," The Warwick Economics Research Paper Series (TWERPS) 1065, University of Warwick, Department of Economics.
- Clément de Chaisemartin, 2011. "Fuzzy Differences in Differences," Working Papers 2011-10, Center for Research in Economics and Statistics.
- Clément de Chaisemartin, 2012. "Fuzzy differences in differences," Working Papers halshs-00671368, HAL.
- Clément de CHAISEMARTIN, 2010. "Fuzzy Differences in Differences," Working Papers 2010-08, Center for Research in Economics and Statistics.
- Lee, Yoonseok & Phillips, Peter C.B., 2015.
"Model selection in the presence of incidental parameters,"
Journal of Econometrics, Elsevier, vol. 188(2), pages 474-489.
- Yoonseok Lee & Peter C.B. Phillips, 2013. "Model Selection in the Presence of Incidental Parameters," Cowles Foundation Discussion Papers 1919, Cowles Foundation for Research in Economics, Yale University.
- Yoonseok Lee & Peter C.B. Phillips, 2013. "Model Selection in the Presence of Incidental Parameters," Center for Policy Research Working Papers 159, Center for Policy Research, Maxwell School, Syracuse University.
- Yingyao Hu & Geert Ridder, 2012.
"Estimation of nonlinear models with mismeasured regressors using marginal information,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(3), pages 347-385, April.
- Yingyao Hu & Geert Ridder, 2005. "Estimation of Nonlinear Models with Mismeasured Regressors Using Marginal Information," IEPR Working Papers 05.39, Institute of Economic Policy Research (IEPR).
- Yingyao Hu & Geert Ridder, 2009. "Estimation of Nonlinear Models with Mismeasured Regressors Using Marginal Information," Economics Working Paper Archive 554, The Johns Hopkins University,Department of Economics.
- Aguirregabiria, Victor & Magesan, Arvind, 2013. "Euler Equations for the Estimation of Dynamic Discrete Choice Structural," MPRA Paper 46056, University Library of Munich, Germany.
- Choi, Jin-young & Lee, Myoung-jae, 2019. "Twins are more different than commonly believed, but made less different by compensating behaviors," Economics & Human Biology, Elsevier, vol. 35(C), pages 18-31.
- Aguiar, Victor H. & Serrano, Roberto, 2017. "Slutsky matrix norms: The size, classification, and comparative statics of bounded rationality," Journal of Economic Theory, Elsevier, vol. 172(C), pages 163-201.
- Jelena Bradic & Stefan Wager & Yinchu Zhu, 2019. "Sparsity Double Robust Inference of Average Treatment Effects," Papers 1905.00744, arXiv.org.
- Abhinandan Dalal & Patrick Blobaum & Shiva Kasiviswanathan & Aaditya Ramdas, 2024. "Anytime-Valid Inference for Double/Debiased Machine Learning of Causal Parameters," Papers 2408.09598, arXiv.org, revised Sep 2024.
- Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003.
"Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score,"
Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
- Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," NBER Technical Working Papers 0251, National Bureau of Economic Research, Inc.
- Guido Imbens, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometric Society World Congress 2000 Contributed Papers 1166, Econometric Society.
- Magnac, Thierry & Maurin, Eric, 2007.
"Identification and information in monotone binary models,"
Journal of Econometrics, Elsevier, vol. 139(1), pages 76-104, July.
- Magnac, Thierry & Maurin, Eric, 2003. "Identification and Information in Monotone Binary Models," IDEI Working Papers 180, Institut d'Économie Industrielle (IDEI), Toulouse, revised Oct 2004.
- Thierry Magnac & Eric Maurin, 2007. "Identification and Information in Monotone Binary Models," PSE-Ecole d'économie de Paris (Postprint) halshs-00754218, HAL.
- Thierry Magnac & Eric Maurin, 2007. "Identification and Information in Monotone Binary Models," Post-Print halshs-00754218, HAL.
- Vira Semenova, 2023. "Aggregated Intersection Bounds and Aggregated Minimax Values," Papers 2303.00982, arXiv.org, revised Jun 2024.
- Yuya Sasaki & Takuya Ura & Yichong Zhang, 2022.
"Unconditional quantile regression with high‐dimensional data,"
Quantitative Economics, Econometric Society, vol. 13(3), pages 955-978, July.
- Yuya Sasaki & Takuya Ura & Yichong Zhang, 2020. "Unconditional Quantile Regression with High Dimensional Data," Papers 2007.13659, arXiv.org, revised Feb 2022.
- Pereda-Fernández, Santiago, 2023.
"Identification and estimation of triangular models with a binary treatment,"
Journal of Econometrics, Elsevier, vol. 234(2), pages 585-623.
- Santiago Pereda Fernández, 2019. "Identification and estimation of triangular models with a binary treatment," Temi di discussione (Economic working papers) 1210, Bank of Italy, Economic Research and International Relations Area.
- Markus Frölich & Martin Huber, 2017.
"Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables,"
Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
- Markus Frölich & Martin Huber, 2014. "Direct and indirect treatment effects: causal chains and mediation analysis with instrumental variables," CeMMAP working papers 31/14, Institute for Fiscal Studies.
- Frölich, Markus & Huber, Martin, 2015. "Direct and indirect treatment effects: causal chains and mediation analysis with instrumental variables," Working Paper Series 2015:12, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- Markus Frölich & Martin Huber, 2014. "Direct and indirect treatment effects: causal chains and mediation analysis with instrumental variables," CeMMAP working papers CWP31/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Frölich, Markus & Huber, Martin, 2014. "Direct and Indirect Treatment Effects: Causal Chains and Mediation Analysis with Instrumental Variables," IZA Discussion Papers 8280, Institute of Labor Economics (IZA).
- Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael, 2010.
"Robust Data-Driven Inference for Density-Weighted Average Derivatives,"
Journal of the American Statistical Association, American Statistical Association, vol. 105(491), pages 1070-1083.
- Matias D. Cattaneo & Richard K. Crump & Michael Jansson, 2009. "Robust Data-Driven Inference for Density-Weighted Average Derivatives," CREATES Research Papers 2009-46, Department of Economics and Business Economics, Aarhus University.
- Christian Hansen & Damian Kozbur & Sanjog Misra, 2016. "Targeted undersmoothing," ECON - Working Papers 282, Department of Economics - University of Zurich, revised Apr 2018.
- Liang, Hua, 2006. "Estimation in partially linear models and numerical comparisons," Computational Statistics & Data Analysis, Elsevier, vol. 50(3), pages 675-687, February.
- Zhaonan Qu & Ruoxuan Xiong & Jizhou Liu & Guido Imbens, 2021. "Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference," Papers 2107.12420, arXiv.org, revised Jun 2024.
- Mammen, Enno & Rothe, Christoph & Schienle, Melanie, 2016.
"Semiparametric Estimation With Generated Covariates,"
Econometric Theory, Cambridge University Press, vol. 32(5), pages 1140-1177, October.
- Mammen, Enno & Rothe, Christoph & Schienle, Melanie, 2011. "Semiparametric Estimation with Generated Covariates," IZA Discussion Papers 6084, Institute of Labor Economics (IZA).
- Mammen, Enno & Rothe, Christoph & Schienle, Melanie, 2014. "Semiparametric Estimation with Generated Covariates," SFB 649 Discussion Papers 2014-043, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Mammen, Enno & Rothe, Christoph & Schienle, Melanie, 2011. "Semiparametric estimation with generated covariates," SFB 649 Discussion Papers 2011-064, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Mammen, Enno & Rothe, Christoph & Schienle, Melanie, 2016. "Semiparametric estimation with generated covariates," Working Paper Series in Economics 81, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
- Chunrong Ai & Lukang Huang & Zheng Zhang, 2018. "A Simple and Efficient Estimation of the Average Treatment Effect in the Presence of Unmeasured Confounders," Papers 1807.05678, arXiv.org.
- Cosslett, Stephen R., 2013. "Efficient semiparametric estimation for endogenously stratified regression via smoothed likelihood," Journal of Econometrics, Elsevier, vol. 177(1), pages 116-129.
- George‐Levi Gayle & Limor Golan & Mehmet A. Soytas, 2018.
"Estimation of dynastic life‐cycle discrete choice models,"
Quantitative Economics, Econometric Society, vol. 9(3), pages 1195-1241, November.
- George-Levi Gayle & Limor Golan & Mehmet A. Soytas, 2015. "Estimation of Dynastic Life-Cycle Discrete Choice Models," Working Papers 2015-20, Federal Reserve Bank of St. Louis.
- Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2022.
"Locally Robust Semiparametric Estimation,"
Econometrica, Econometric Society, vol. 90(4), pages 1501-1535, July.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey, 2016. "Locally robust semiparametric estimation," CeMMAP working papers CWP31/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2016. "Locally Robust Semiparametric Estimation," Papers 1608.00033, arXiv.org, revised Aug 2020.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2018. "Locally robust semiparametric estimation," CeMMAP working papers CWP30/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey, 2016. "Locally robust semiparametric estimation," CeMMAP working papers 31/16, Institute for Fiscal Studies.
- Shuyang Sheng & Xiaoting Sun, 2023. "Social Interactions with Endogenous Group Formation," Papers 2306.01544, arXiv.org.
- Vira Semenova, 2017. "Debiased Machine Learning of Set-Identified Linear Models," Papers 1712.10024, arXiv.org, revised Dec 2022.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2016. "Double/Debiased Machine Learning for Treatment and Causal Parameters," Papers 1608.00060, arXiv.org, revised Nov 2024.
- Chaohua Dong & Jiti Gao & Oliver Linton, 2017.
"High dimensional semiparametric moment restriction models,"
Monash Econometrics and Business Statistics Working Papers
17/17, Monash University, Department of Econometrics and Business Statistics.
- Chaohua Dong & Jiti Gao & Oliver Linton, 2018. "High dimensional semiparametric moment restriction models," CeMMAP working papers CWP04/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chaohua Dong & Jiti Gao & Oliver Linton, 2018. "High dimensional semiparametric moment restriction models," CeMMAP working papers CWP69/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chaohua Dong & Jiti Gao & Oliver Linton, 2018. "High dimensional semiparametric moment restriction models," Monash Econometrics and Business Statistics Working Papers 23/18, Monash University, Department of Econometrics and Business Statistics.
- Dong, C. & Gao, J. & Linton, O., 2018. "High Dimensional Semiparametric Moment Restriction Models," Cambridge Working Papers in Economics 1881, Faculty of Economics, University of Cambridge.
- Debopam Bhattacharya, 2015.
"Nonparametric Welfare Analysis for Discrete Choice,"
Econometrica, Econometric Society, vol. 83, pages 617-649, March.
- Debopam Bhattacharya, 2013. "Nonparametric Welfare Analysis for Discrete Choice," Economics Series Working Papers 669, University of Oxford, Department of Economics.
- Taisuke Otsu & Chen Qiu, 2018. "Information theoretic approach to high dimensional multiplicative models: Stochastic discount factor and treatment effect," STICERD - Econometrics Paper Series 595, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Whang, Yoon-Jae & Linton, Oliver, 1999.
"The asymptotic distribution of nonparametric estimates of the Lyapunov exponent for stochastic time series,"
Journal of Econometrics, Elsevier, vol. 91(1), pages 1-42, July.
- Yoon-Jae Whang & Oliver Linton, 1997. "The Asymptotic Distribution of Nonparametric Estimates of the Lyapunov Exponent for Stochastic Time Series," Cowles Foundation Discussion Papers 1130R, Cowles Foundation for Research in Economics, Yale University.
- Patrick Bajari & Han Hong & Ahmed Khwaja, 2006. "Moral Hazard, Adverse Selection and Health Expenditures: A Semiparametric Analysis," NBER Working Papers 12445, National Bureau of Economic Research, Inc.
- Linton, Oliver B. & Mammen, Enno, 2008.
"Nonparametric transformation to white noise,"
Journal of Econometrics, Elsevier, vol. 142(1), pages 241-264, January.
- Linton, Oliver & Mammen, Enno, 2006. "Nonparametric transformation to white noise," LSE Research Online Documents on Economics 4426, London School of Economics and Political Science, LSE Library.
- Oliver Linton & Enno Mammen, 2006. "Nonparametric Transformation to White Noise," STICERD - Econometrics Paper Series 503, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Firpo, Sergio & Galvao, Antonio F. & Song, Suyong, 2017. "Measurement errors in quantile regression models," Journal of Econometrics, Elsevier, vol. 198(1), pages 146-164.
- Susan Athey & Stefan Wager, 2021.
"Policy Learning With Observational Data,"
Econometrica, Econometric Society, vol. 89(1), pages 133-161, January.
- Susan Athey & Stefan Wager, 2017. "Policy Learning with Observational Data," Papers 1702.02896, arXiv.org, revised Sep 2020.
- Bingduo Yang & Christian M. Hafner & Guannan Liu & Wei Long, 2021.
"Semiparametric estimation and variable selection for single‐index copula models,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 962-988, November.
- Yang, Bingduo & Hafner, Christian M. & Liu, Guannan & Long, Wei, 2018. "Semiparametric Estimation and Variable Selection for Single-index Copula Models," IRTG 1792 Discussion Papers 2018-064, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Yang, Bingduo & Hafner, Christian M. & Liu, Guannan & Long, Wei, 2022. "Semiparametric estimation and variable selection for single-index copula models," LIDAM Reprints ISBA 2022011, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Bingduo Yang & Christian M. Hafner & Guannan Liu & Wei Long, 2019. "Semiparametric Estimation and Variable Selection for Single-index Copula Models," Working Papers 2019-07-05, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
- Frolich, Markus, 2007.
"Nonparametric IV estimation of local average treatment effects with covariates,"
Journal of Econometrics, Elsevier, vol. 139(1), pages 35-75, July.
- Markus Froelich, 2002. "Nonparametric IV estimation of local average treatment effects with covariates," University of St. Gallen Department of Economics working paper series 2002 2002-19, Department of Economics, University of St. Gallen.
- Frölich, Markus, 2002. "Nonparametric IV Estimation of Local Average Treatment Effects with Covariates," IZA Discussion Papers 588, Institute of Labor Economics (IZA).
- Bo E. Honore & Arthur Lewbel, 2002.
"Semiparametric Binary Choice Panel Data Models Without Strictly Exogeneous Regressors,"
Econometrica, Econometric Society, vol. 70(5), pages 2053-2063, September.
- Bo E. Honore & Arthur Lewbel, 1998. "Semiparametric Binary Choice Panel Data Models without Strictly Exogeneous Regressors," Boston College Working Papers in Economics 455, Boston College Department of Economics, revised 22 Sep 2001.
- Weibin Mo & Yufeng Liu, 2022. "Efficient learning of optimal individualized treatment rules for heteroscedastic or misspecified treatment‐free effect models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 440-472, April.
- George-Levi Gayle & Limor Golan, "undated".
"Estimating a Dynamic Adverse Selection Model: Labor Force Experience and the Changing Gender Earnings Gap 1968-93,"
GSIA Working Papers
2006-E40, Carnegie Mellon University, Tepper School of Business.
- Limor Golan & George-Levi Gayle, 2008. "Estimating a Dynamic Adverse-Selection Model: Labor-Force Experience and the Changing Gender Earnings Gap 1968-93," 2008 Meeting Papers 301, Society for Economic Dynamics.
- Yanchun Jin, 2016. "Nonparametric tests for the effect of treatment on conditional variance," KIER Working Papers 948, Kyoto University, Institute of Economic Research.
- Santiago Acerenza & Vitor Possebom & Pedro H. C. Sant'Anna, 2023. "Was Javert right to be suspicious? Unpacking treatment effect heterogeneity of alternative sentences on time-to-recidivism in Brazil," Papers 2311.13969, arXiv.org, revised May 2024.
- Juan Carlos Escanciano & Telmo P'erez-Izquierdo, 2023. "Automatic Locally Robust Estimation with Generated Regressors," Papers 2301.10643, arXiv.org, revised Nov 2023.
- Cattaneo, Matias D. & Jansson, Michael & Ma, Xinwei, 2024.
"Local regression distribution estimators,"
Journal of Econometrics, Elsevier, vol. 240(2).
- Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2020. "Local Regression Distribution Estimators," Papers 2009.14367, arXiv.org, revised Jan 2021.
- Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2021. "Local regression distribution estimators," Department of Economics, Working Paper Series qt7416d3x8, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2021. "Local regression distribution estimators," University of California at San Diego, Economics Working Paper Series qt7416d3x8, Department of Economics, UC San Diego.
- Hidehiko Ichimura & Whitney K. Newey, 2022.
"The influence function of semiparametric estimators,"
Quantitative Economics, Econometric Society, vol. 13(1), pages 29-61, January.
- Hidehiko Ichimura & Whitney K. Newey, 2015. "The influence function of semiparametric estimators," CeMMAP working papers 44/15, Institute for Fiscal Studies.
- Hidehiko Ichimura & Whitney K. Newey, 2017. "The influence function of semiparametric estimators," CeMMAP working papers 06/17, Institute for Fiscal Studies.
- Hidehiko Ichimura & Whitney K. Newey, 2015. "The Influence Function of Semiparametric Estimators," CIRJE F-Series CIRJE-F-985, CIRJE, Faculty of Economics, University of Tokyo.
- Hidehiko Ichimura & Whitney K. Newey, 2017. "The influence function of semiparametric estimators," CeMMAP working papers CWP06/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hidehiko Ichimura & Whitney K. Newey, 2015. "The influence function of semiparametric estimators," CeMMAP working papers CWP44/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Ackerberg & Xiaohong Chen & Jinyong Hahn & Zhipeng Liao, 2014.
"Asymptotic Efficiency of Semiparametric Two-step GMM,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(3), pages 919-943.
- Xiaohong Chen & Jinyong Hahn, 2012. "Asymptotic efficiency of semiparametric two-step GMM," CeMMAP working papers 31/12, Institute for Fiscal Studies.
- Daniel Ackerberg & Xiaohong Chen & Jinyong Hahn, 2014. "Asymptotic efficiency of semiparametric two-step GMM," CeMMAP working papers 28/14, Institute for Fiscal Studies.
- Xiaohong Chen & Jinyong Hahn, 2012. "Asymptotic efficiency of semiparametric two-step GMM," CeMMAP working papers CWP31/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Xiaohong Chen & Jinyong Hahn & Zhipeng Liao, 2012. "Asymptotic Efficiency of Semiparametric Two-step GMM," Cowles Foundation Discussion Papers 1880, Cowles Foundation for Research in Economics, Yale University.
- Daniel Ackerberg & Xiaohong Chen & Jinyong Hahn, 2014. "Asymptotic efficiency of semiparametric two-step GMM," CeMMAP working papers CWP28/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Olley, G Steven & Pakes, Ariel, 1996.
"The Dynamics of Productivity in the Telecommunications Equipment Industry,"
Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
- George S Olley & Ariel Pakes, 1992. "The Dynamics Of Productivity In The Telecommunications Equipment Industry," Working Papers 92-2, Center for Economic Studies, U.S. Census Bureau.
- G. Steven Olley & Ariel Pakes, 1992. "The Dynamics of Productivity in the Telecommunications Equipment Industry," NBER Working Papers 3977, National Bureau of Economic Research, Inc.
- Gyungbae Park, 2024. "Debiased Machine Learning when Nuisance Parameters Appear in Indicator Functions," Papers 2403.15934, arXiv.org.
- Markus Frölich & Martin Huber, 2014.
"Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1697-1711, December.
- Frölich, Markus & Huber, Martin, 2014. "Treatment Evaluation with Multiple Outcome Periods under Endogeneity and Attrition," IZA Discussion Papers 7972, Institute of Labor Economics (IZA).
- Frölich, Markus & Huber, Martin, 2014. "Treatment evaluation with multiple outcome periods under endogeneity and attrition," Economics Working Paper Series 1404, University of St. Gallen, School of Economics and Political Science.
- Leung, Michael P., 2015. "Two-step estimation of network-formation models with incomplete information," Journal of Econometrics, Elsevier, vol. 188(1), pages 182-195.
- Alberto Abadie, 2000. "Semiparametric Estimation of Instrumental Variable Models for Causal Effects," NBER Technical Working Papers 0260, National Bureau of Economic Research, Inc.
- repec:spo:wpmain:info:hdl:2441/dambferfb7dfprc9m01h6f4h2 is not listed on IDEAS
- Koen Jochmans, 2013.
"Pairwise‐comparison estimation with non‐parametric controls,"
Econometrics Journal, Royal Economic Society, vol. 16(3), pages 340-372, October.
- Koen Jochmans, 2013. "Pairwise-comparison estimation with non-parametric controls," SciencePo Working papers Main hal-03399882, HAL.
- Koen Jochmans, 2013. "Pairwise-comparison estimation with non-parametric controls," Post-Print hal-03399882, HAL.
- Koen Jochmans, 2013. "Pairwise-comparison estimation with nonparametric controls," Working Papers hal-00973068, HAL.
- Koen Jochmans, 2013. "Pairwise-comparison estimation with nonparametric controls," SciencePo Working papers Main hal-00973068, HAL.
- Koen Jochmans, 2013. "Pairwise-comparison estimation with nonparametric controls," SciencePo Working papers hal-00973068, HAL.
- Jérôme Foncel & Marian Hristache & Valentin Patilea, 2004. "Semiparametric Single-index Poisson Regression Model with Unobserved Heterogeneity," Working Papers 2004-04, Center for Research in Economics and Statistics.
- Yuehao Bai & Jizhou Liu & Azeem M. Shaikh & Max Tabord-Meehan, 2023. "On the Efficiency of Finely Stratified Experiments," Papers 2307.15181, arXiv.org, revised Aug 2024.
- Escanciano, Juan Carlos & Jacho-Chávez, David T. & Lewbel, Arthur, 2014.
"Uniform convergence of weighted sums of non and semiparametric residuals for estimation and testing,"
Journal of Econometrics, Elsevier, vol. 178(P3), pages 426-443.
- Juan Carlos Escanciano & David Jacho-Chavez & Arthur Lewbel, 2010. "Uniform Convergence of Weighted Sums of Non- and Semi-parametric Residuals for Estimation and Testing," Boston College Working Papers in Economics 756, Boston College Department of Economics, revised 31 Jan 2012.
- Steven T. Berry & Philip A. Haile, 2009. "Identification of a Heterogeneous Generalized Regression Model with Group Effects," Cowles Foundation Discussion Papers 1732, Cowles Foundation for Research in Economics, Yale University.
- Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2020.
"On the Informativeness of Descriptive Statistics for Structural Estimates,"
Econometrica, Econometric Society, vol. 88(6), pages 2231-2258, November.
- Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2018. "On the Informativeness of Descriptive Statistics for Structural Estimates," NBER Working Papers 25217, National Bureau of Economic Research, Inc.
- Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2020. "On the Informativeness of Descriptive Statistics for Structural Estimates," Working Papers 2020-06, Brown University, Department of Economics.
- Paul Goldsmith-Pinkham & Peter Hull & Michal Koles'ar, 2021.
"Contamination Bias in Linear Regressions,"
Papers
2106.05024, arXiv.org, revised Jun 2024.
- Paul Goldsmith-Pinkham & Peter Hull & Michal Kolesár, 2022. "Contamination Bias in Linear Regressions," Working Papers 2022-15, Princeton University. Economics Department..
- Paul Goldsmith-Pinkham & Peter Hull & Michal Kolesár, 2022. "Contamination Bias in Linear Regressions," NBER Working Papers 30108, National Bureau of Economic Research, Inc.
- Rothe, Christoph & Firpo, Sergio Pinheiro, 2013.
"Semiparametric estimation and inference using doubly robust moment conditions,"
Textos para discussão
330, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
- Rothe, Christoph & Firpo, Sergio, 2013. "Semiparametric Estimation and Inference Using Doubly Robust Moment Conditions," IZA Discussion Papers 7564, Institute of Labor Economics (IZA).
- Chen, Xiaohong & Liao, Zhipeng, 2015.
"Sieve semiparametric two-step GMM under weak dependence,"
Journal of Econometrics, Elsevier, vol. 189(1), pages 163-186.
- Xiaohong Chen & Zhipeng Liao, 2015. "Sieve Semiparametric Two-Step GMM under Weak Dependence," Cowles Foundation Discussion Papers 2012, Cowles Foundation for Research in Economics, Yale University.
- Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009.
"Unconditional Quantile Regressions,"
Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
- SErgio Firpo & Nicole M. Fortin & Thomas Lemieux, 2006. "Unconditional Quantile Regressions," Textos para discussão 533, Department of Economics PUC-Rio (Brazil).
- Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2007. "Unconditional Quantile Regressions," NBER Technical Working Papers 0339, National Bureau of Economic Research, Inc.
- John A. List & Ian Muir & Gregory K. Sun, 2022.
"Using Machine Learning for Efficient Flexible Regression Adjustment in Economic Experiments,"
NBER Working Papers
30756, National Bureau of Economic Research, Inc.
- John List & Ian Muir & Gregory Sun, 2022. "Using Machine Learning for Efficient Flexible Regression Adjustment in Economic Experiments," Natural Field Experiments 00763, The Field Experiments Website.
- Poirier, Alexandre, 2017. "Efficient estimation in models with independence restrictions," Journal of Econometrics, Elsevier, vol. 196(1), pages 1-22.
- Torgovitsky, Alexander, 2017. "Minimum distance from independence estimation of nonseparable instrumental variables models," Journal of Econometrics, Elsevier, vol. 199(1), pages 35-48.
- Liu, Hong & Sun, Qi & Zhao, Zhong, 2014.
"Social learning and health insurance enrollment: Evidence from China's New Cooperative Medical Scheme,"
Journal of Economic Behavior & Organization, Elsevier, vol. 97(C), pages 84-102.
- Liu, Hong & Sun, Qi & Zhao, Zhong, 2013. "Social Learning and Health Insurance Enrollment: Evidence from China's New Cooperative Medical Scheme," IZA Discussion Papers 7251, Institute of Labor Economics (IZA).
- Susanne Schennach & Halbert White & Karim Chalak, 2007.
"Local Indirect Least Squares and Average Marginal Effects in Nonseparable Structural Systems,"
Boston College Working Papers in Economics
680, Boston College Department of Economics, revised 26 Dec 2009.
- Susanne M. Schennach & Halbert White & Karim Chalak, 2007. "Estimating average marginal effects in nonseparable structural systems," CeMMAP working papers CWP31/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Tang, Cheng Yong, 2024. "A model specification test for semiparametric nonignorable missing data modeling," Econometrics and Statistics, Elsevier, vol. 30(C), pages 124-132.
- Francesco Bravo & Ba M. Chu & David T. Jacho-Chávez, 2017.
"Semiparametric estimation of moment condition models with weakly dependent data,"
Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 29(1), pages 108-136, January.
- Bravo, Francesco & Chu, Ba & Jacho-Chavez, David, 2013. "Semiparametric estimation of moment condition models with weakly dependent data," MPRA Paper 79686, University Library of Munich, Germany, revised 2016.
- Ben-Moshe, Dan & D’Haultfœuille, Xavier & Lewbel, Arthur, 2017. "Identification of additive and polynomial models of mismeasured regressors without instruments," Journal of Econometrics, Elsevier, vol. 200(2), pages 207-222.
- Susan Athey & Julie Tibshirani & Stefan Wager, 2016.
"Generalized Random Forests,"
Papers
1610.01271, arXiv.org, revised Apr 2018.
- Athey, Susan & Tibshirani, Julie & Wager, Stefan, 2017. "Generalized Random Forests," Research Papers 3575, Stanford University, Graduate School of Business.
- Victor Chernozhukov & Whitney Newey & Rahul Singh & Vasilis Syrgkanis, 2020. "Adversarial Estimation of Riesz Representers," Papers 2101.00009, arXiv.org, revised Apr 2024.
- Xiaohong Chen & Jack Favilukis & Sydney C. Ludvigson, 2013.
"An estimation of economic models with recursive preferences,"
Quantitative Economics, Econometric Society, vol. 4(1), pages 39-83, March.
- Chen, Xiaohong & Favilukis, Jack & Ludvigson, Sydney C., 2007. "An estimation of economic models with recursive preferences," LSE Research Online Documents on Economics 24502, London School of Economics and Political Science, LSE Library.
- Xiaohong Chen & Jack Favilukis & Sydney Ludvigson, 2012. "An estimation of economic models with recursive preferences," CeMMAP working papers 32/12, Institute for Fiscal Studies.
- Xiaohong Chen & Jack Favilukis & Sydney C. Ludvigson, 2011. "An Estimation of Economic Models with Recursive Preferences," NBER Working Papers 17130, National Bureau of Economic Research, Inc.
- Chen, Xiaohong & Favilukis, Jack & Ludvigson, Sydney C., 2013. "An estimation of economic models with recursive preferences," LSE Research Online Documents on Economics 37392, London School of Economics and Political Science, LSE Library.
- Xiaohong Chen & Jack Favilukis & Sydney Ludvigson, 2012. "An estimation of economic models with recursive preferences," CeMMAP working papers CWP32/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Whitney K Newey & Rahul Singh, 2022.
"Debiased machine learning of global and local parameters using regularized Riesz representers [Semiparametric instrumental variable estimation of treatment response models],"
The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 576-601.
- Victor Chernozhukov & Whitney Newey & Rahul Singh, 2018. "De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers," Papers 1802.08667, arXiv.org, revised Oct 2022.
- Tatsushi Oka & Shota Yasui & Yuta Hayakawa & Undral Byambadalai, 2024. "Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials," Papers 2407.14074, arXiv.org.
- repec:hum:wpaper:sfb649dp2014-043 is not listed on IDEAS
- Bryan S. Graham & Guido Imbens & Geert Ridder, 2016. "Identification and efficiency bounds for the average match function under conditionally exogenous matching," CeMMAP working papers 10/16, Institute for Fiscal Studies.
- Sven Klaassen & Jannis Kueck & Martin Spindler, 2017. "Transformation Models in High-Dimensions," Papers 1712.07364, arXiv.org.
- Rothe, Christoph, 2016. "The Value of Knowing the Propensity Score for Estimating Average Treatment Effects," IZA Discussion Papers 9989, Institute of Labor Economics (IZA).
- Jikai Jin & Vasilis Syrgkanis, 2024. "Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation," Papers 2402.14264, arXiv.org, revised Mar 2024.
- Wanling Huang & Artem Prokhorov, 2014.
"A Goodness-of-fit Test for Copulas,"
Econometric Reviews, Taylor & Francis Journals, vol. 33(7), pages 751-771, October.
- Prokhorov, Artem, 2008. "A goodness-of-fit test for copulas," MPRA Paper 9998, University Library of Munich, Germany.
- Wanling Huang & Artem Prokhorov, 2010. "A Goodness-of-fit Test for Copulas," Working Papers 10002, Concordia University, Department of Economics, revised Apr 2010.
- Undral Byambadalai & Tatsushi Oka & Shota Yasui, 2024. "Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction," Papers 2407.16037, arXiv.org.
- Stéphane Bonhomme & Martin Weidner, 2018.
"Minimizing sensitivity to model misspecification,"
CeMMAP working papers
CWP59/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- St'ephane Bonhomme & Martin Weidner, 2018. "Minimizing Sensitivity to Model Misspecification," Papers 1807.02161, arXiv.org, revised Oct 2021.
- Dong, Chaohua & Gao, Jiti & Linton, Oliver, 2023.
"High dimensional semiparametric moment restriction models,"
Journal of Econometrics, Elsevier, vol. 232(2), pages 320-345.
- Chaohua Dong & Jiti Gao & Oliver Linton, 2017. "High dimensional semiparametric moment restriction models," Monash Econometrics and Business Statistics Working Papers 17/17, Monash University, Department of Econometrics and Business Statistics.
- Dong, C. & Gao, J. & Linton, O., 2018. "High Dimensional Semiparametric Moment Restriction Models," Cambridge Working Papers in Economics 1881, Faculty of Economics, University of Cambridge.
- Chaohua Dong & Jiti Gao & Oliver Linton, 2018. "High dimensional semiparametric moment restriction models," CeMMAP working papers CWP69/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chaohua Dong & Jiti Gao & Oliver Linton, 2018. "High dimensional semiparametric moment restriction models," Monash Econometrics and Business Statistics Working Papers 23/18, Monash University, Department of Econometrics and Business Statistics.
- Chernozhukov, Victor & Fernández-Val, Iván & Kowalski, Amanda E., 2015.
"Quantile regression with censoring and endogeneity,"
Journal of Econometrics, Elsevier, vol. 186(1), pages 201-221.
- Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski, 2011. "Quantile Regression with Censoring and Endogeneity," Papers 1104.4580, arXiv.org, revised Mar 2014.
- Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski, 2011. "Quantile Regression with Censoring and Endogeneity," Cowles Foundation Discussion Papers 1797, Cowles Foundation for Research in Economics, Yale University.
- Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski, 2011. "Quantile regression with censoring and endogeneity," CeMMAP working papers CWP20/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Iván Fernández-Val & Amanda E. Kowalski, 2011. "Quantile Regression with Censoring and Endogeneity," NBER Working Papers 16997, National Bureau of Economic Research, Inc.
- Robert Breunig & Marn-Heong Wong, "undated".
"Australia's firm-level productivity -- a new perspective,"
Australasian Stata Users' Group Meetings 2004
2, Stata Users Group.
- Robert Breunig & Marn-Heong Wong, 2004. "Australia's Firm-level Productivity - a New Perspective," Econometric Society 2004 Australasian Meetings 177, Econometric Society.
- Chen, Xiaohong & Pouzo, Demian & Powell, James L., 2019.
"Penalized sieve GEL for weighted average derivatives of nonparametric quantile IV regressions,"
Journal of Econometrics, Elsevier, vol. 213(1), pages 30-53.
- Xiaohong Chen & Demian Pouzo & James L. Powell, 2019. "Penalized Sieve GEL for Weighted Average Derivatives of Nonparametric Quantile IV Regressions," Papers 1902.10100, arXiv.org.
- Debopam Bhattacharya & Pascaline Dupas & Shin Kanaya, 2013.
"Estimating the Impact of Means-tested Subsidies under Treatment Externalities with Application to Anti-Malarial Bednets,"
CREATES Research Papers
2013-06, Department of Economics and Business Economics, Aarhus University.
- Debopam Bhattacharya & Pascaline Dupas & Shin Kanaya, 2013. "Estimating the Impact of Means-tested Subsidies under Treatment Externalities with Application to Anti-Malarial Bednets," Economics Series Working Papers 646, University of Oxford, Department of Economics.
- Debopam Bhattacharya & Pascaline Dupas & Shin Kanaya, 2013. "Estimating the Impact of Means-tested Subsidies under Treatment Externalities with Application to Anti-Malarial Bednets," NBER Working Papers 18833, National Bureau of Economic Research, Inc.
- Gayle, Wayne-Roy & Namoro, Soiliou Daw, 2013. "Estimation of a nonlinear panel data model with semiparametric individual effects," Journal of Econometrics, Elsevier, vol. 175(1), pages 46-59.
- Jelena Bradic & Victor Chernozhukov & Whitney K. Newey & Yinchu Zhu, 2019. "Minimax Semiparametric Learning With Approximate Sparsity," Papers 1912.12213, arXiv.org, revised Aug 2022.
- Sungwon Lee & Joon H. Ro, 2020. "Nonparametric Tests for Conditional Quantile Independence with Duration Outcomes," Working Papers 2013, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
- Victor Chernozhukov & Whitney K. Newey & Victor Quintas-Martinez & Vasilis Syrgkanis, 2021. "Automatic Debiased Machine Learning via Riesz Regression," Papers 2104.14737, arXiv.org, revised Mar 2024.
- Zhengyuan Zhou & Susan Athey & Stefan Wager, 2023.
"Offline Multi-Action Policy Learning: Generalization and Optimization,"
Operations Research, INFORMS, vol. 71(1), pages 148-183, January.
- Zhou, Zhengyuan & Athey, Susan & Wager, Stefan, 2018. "Offline Multi-Action Policy Learning: Generalization and Optimization," Research Papers 3734, Stanford University, Graduate School of Business.
- Zhengyuan Zhou & Susan Athey & Stefan Wager, 2018. "Offline Multi-Action Policy Learning: Generalization and Optimization," Papers 1810.04778, arXiv.org, revised Nov 2018.
- Bryan S. Graham & James Powell, 2008. "Identification and Estimation of 'Irregular' Correlated Random Coefficient Models," NBER Working Papers 14469, National Bureau of Economic Research, Inc.
- Vira Semenova, 2018. "Machine Learning for Dynamic Discrete Choice," Papers 1808.02569, arXiv.org, revised Nov 2018.
- Francesco Bravo & David Jacho-Chavez, 2011. "Empirical Likelihood for Efficient Semiparametric Average Treatment Effects," Econometric Reviews, Taylor & Francis Journals, vol. 30(1), pages 1-24.
- Sergio Firpo & Cristine Pinto, 2016.
"Identification and Estimation of Distributional Impacts of Interventions Using Changes in Inequality Measures,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 457-486, April.
- Firpo, Sergio, 2010. "Identification and Estimation of Distributional Impacts of Interventions Using Changes in Inequality Measures," IZA Discussion Papers 4841, Institute of Labor Economics (IZA).
- Pedro H. C. Sant'Anna & Qi Xu, 2023. "Difference-in-Differences with Compositional Changes," Papers 2304.13925, arXiv.org.
- Susanne M Schennach, 2007.
"Instrumental Variable Estimation of Nonlinear Errors-in-Variables Models,"
Econometrica, Econometric Society, vol. 75(1), pages 201-239, January.
- Susanne M. Schennach, 2004. "Instrumental Variable Estimation of Nonlinear Errors-in-Variables Models," Econometric Society 2004 North American Summer Meetings 602, Econometric Society.
- Weiwei Wang & Daniel Scharfstein & Zhiqiang Tan & Ellen J. MacKenzie, 2009. "Causal inference in outcome‐dependent two‐phase sampling designs," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(5), pages 947-969, November.
- Christoph Rothe, 2012.
"Partial Distributional Policy Effects,"
Econometrica, Econometric Society, vol. 80(5), pages 2269-2301, September.
- Rothe, Christoph, 2011. "Partial Distributional Policy Effects," IZA Discussion Papers 6076, Institute of Labor Economics (IZA).
- Capobianco, Enrico, 2000. "Neural networks and statistical inference: seeking robust and efficient learning," Computational Statistics & Data Analysis, Elsevier, vol. 32(3-4), pages 443-454, January.
- Jinyong Hahn & David W. Hughes & Guido Kuersteiner & Whitney K. Newey, 2024.
"Efficient bias correction for cross‐section and panel data,"
Quantitative Economics, Econometric Society, vol. 15(3), pages 783-816, July.
- Jinyong Hahn & David W. Hughes & Guido Kuersteiner & Whitney K. Newey, 2022. "Efficient Bias Correction for Cross-section and Panel Data," Papers 2207.09943, arXiv.org, revised Jan 2024.
- Stéphane Bonhomme & Martin Weidner, 2020. "Minimizing Sensitivity to Model Misspecification," CeMMAP working papers CWP37/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Przemysław Jeziorski, 2014. "Estimation of cost efficiencies from mergers: application to US radio," RAND Journal of Economics, RAND Corporation, vol. 45(4), pages 816-846, December.
- Lewbel, Arthur & McFadden, Daniel & Linton, Oliver, 2011.
"Estimating features of a distribution from binomial data,"
Journal of Econometrics, Elsevier, vol. 162(2), pages 170-188, June.
- Arthur Lewbel & Daniel McFadden & Oliver Linton, 1997. "Estimating Features of a Distribution from Binomial Data," Boston College Working Papers in Economics 442, Boston College Department of Economics, revised 01 Jul 2010.
- Lewbel, Arthur & Linton, Oliver & McFadden, D. L., 2006. "Estimating features of a distribution from binomial data," LSE Research Online Documents on Economics 4418, London School of Economics and Political Science, LSE Library.
- Arthur Lewbel & Oliver Linton & Daniel McFadden, 2001. "Estimating features of a distribution from binomial data," CeMMAP working papers CWP07/01, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alan Lee & Yuichi Hirose, 2010. "Semi-parametric efficiency bounds for regression models under response-selective sampling: the profile likelihood approach," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 62(6), pages 1023-1052, December.
- Ichimura, Hidehiko & Lee, Sokbae, 2010.
"Characterization of the asymptotic distribution of semiparametric M-estimators,"
Journal of Econometrics, Elsevier, vol. 159(2), pages 252-266, December.
- Hidehiko Ichimura & Sokbae Lee, 2006. "Characterization of the Asymptotic Distribution of Semiparametric M-Estimators," CIRJE F-Series CIRJE-F-426, CIRJE, Faculty of Economics, University of Tokyo.
- Hidehiko Ichimura & Sokbae (Simon) Lee, 2006. "Characterization of the asymptotic distribution of semiparametric M-estimators," CeMMAP working papers CWP15/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hidehiko Ichimura & Sokbae Lee, 2010. "Characterization of the asymptotic distribution of semiparametric M-estimators," Post-Print hal-00741628, HAL.
- Sadikoglu, Serhan, 2019. "Essays in econometric theory," Other publications TiSEM 99d83644-f9dc-49e3-a4e1-5, Tilburg University, School of Economics and Management.
- Li, Qi & Yang, Jian & Hsiao, Cheng & Chang, Young-Jae, 2005. "The relationship between stock returns and volatility in international stock markets," Journal of Empirical Finance, Elsevier, vol. 12(5), pages 650-665, December.
- Georg-Levi Gayle & Limor Golan & Mehmet A. Soytas, "undated". "Estimating the Returns to Parental Time Investment in Children Using a Life Cycle Dynastic Model," GSIA Working Papers 2011-E18, Carnegie Mellon University, Tepper School of Business.
- Gayle, George-Levi & Golan, Limor & Soytas, Mehmet A., 2022.
"What is the source of the intergenerational correlation in earnings?,"
Journal of Monetary Economics, Elsevier, vol. 129(C), pages 24-45.
- George-Levi Gayle & Limor Golan & Mehmet A. Soytas, 2015. "What is the source of the intergenerational correlation in earnings?," Working Papers 2015-19, Federal Reserve Bank of St. Louis.
- Mehmet Soytas & Limor Golan & George-Levi Gayle, 2016. "What Is The Source Of The Intergenerational Correlation In Earnings?," 2016 Meeting Papers 387, Society for Economic Dynamics.
- Kyoo il Kim, 2006.
"Semiparametric Estimation of Signaling Games,"
Working Papers
19-2006, Singapore Management University, School of Economics.
- Kyoo il Kim, 2006. "Semiparametric Estimation of Signaling Games," Labor Economics Working Papers 22452, East Asian Bureau of Economic Research.
- Aprajit Mahajan, 2006. "Identification and Estimation of Regression Models with Misclassification," Econometrica, Econometric Society, vol. 74(3), pages 631-665, May.
- repec:spo:wpecon:info:hdl:2441/dambferfb7dfprc9m01h6f4h2 is not listed on IDEAS
- Sung Jae Jun & Sokbae Lee, 2022. "Average Adjusted Association: Efficient Estimation with High Dimensional Confounders," Papers 2205.14048, arXiv.org, revised Apr 2023.
- Su, Liangjun & Ura, Takuya & Zhang, Yichong, 2019.
"Non-separable models with high-dimensional data,"
Journal of Econometrics, Elsevier, vol. 212(2), pages 646-677.
- Su, Liangjun & Ura, Takuya & Zhang, Yichong, 2017. "Non-separable Models with High-dimensional Data," Economics and Statistics Working Papers 15-2017, Singapore Management University, School of Economics.
- Chen, Songnian & Khan, Shakeeb & Tang, Xun, 2016.
"Informational content of special regressors in heteroskedastic binary response models,"
Journal of Econometrics, Elsevier, vol. 193(1), pages 162-182.
- Songnian Chen & Shakeeb Khan & Xun Tang, 2013. "Informational Content of Special Regressors in Heteroskedastic Binary Response Models," PIER Working Paper Archive 13-021, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Juan Carlos Escanciano & Lin Zhu, 2013. "Set inferences and sensitivity analysis in semiparametric conditionally identified models," CeMMAP working papers 55/13, Institute for Fiscal Studies.
- Pakes, Ariel & Olley, Steven, 1995.
"A limit theorem for a smooth class of semiparametric estimators,"
Journal of Econometrics, Elsevier, vol. 65(1), pages 295-332, January.
- Ariel Pakes & Steven Olley, 1994. "A Limit Theorem for a Smooth Class of Semiparametric Estimators," Cowles Foundation Discussion Papers 1066, Cowles Foundation for Research in Economics, Yale University.
- Hongjie Wei & Yan Sun, 2017. "Heteroskedasticity-robust semi-parametric GMM estimation of a spatial model with space-varying coefficients," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(1), pages 113-128, January.
- Xin, Kai & Zhang, ZhengYu & Zhou, YaHong & Zhu, PingFang, 2021. "Time-varying individual effects in a panel data probit model with an application to female labor force participation," Economic Modelling, Elsevier, vol. 95(C), pages 181-191.
- William C. Horrace & Hyunseok Jung & Shane Sanders, 2022.
"Network Competition and Team Chemistry in the NBA,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 35-49, January.
- William C. Horrace & Hyunseok Jung & Shane Sanders, 2020. "Network Competition and Team Chemistry in the NBA," Center for Policy Research Working Papers 226, Center for Policy Research, Maxwell School, Syracuse University.
- Otávio Bartalotti, 2013. "GMM Efficiency and IPW Estimation for Nonsmooth Functions," Working Papers 1301, Tulane University, Department of Economics.
- Christophe Muller & Tae-Hwan Kim, 2005. "Two-Stage Huber Estimation," Working Papers. Serie AD 2005-17, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Sung Jae Jun & Sokbae Lee, 2023.
"Identifying the Effect of Persuasion,"
Journal of Political Economy, University of Chicago Press, vol. 131(8), pages 2032-2058.
- Sung Jae Jun & Sokbae (Simon) Lee, 2018. "Identifying the effect of persuasion," CeMMAP working papers CWP19/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sung Jae Jun & Sokbae (Simon) Lee, 2019. "Identifying the effect of persuasion," CeMMAP working papers CWP69/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sung Jae Jun & Sokbae (Simon) Lee, 2022. "Identifying the effect of persuasion," CeMMAP working papers 24/22, Institute for Fiscal Studies.
- Sung Jae Jun & Sokbae Lee, 2018. "Identifying the Effect of Persuasion," Papers 1812.02276, arXiv.org, revised Nov 2022.
- Gayle, George-Levi & Viauroux, Christelle, 2007.
"Root-N consistent semiparametric estimators of a dynamic panel-sample-selection model,"
Journal of Econometrics, Elsevier, vol. 141(1), pages 179-212, November.
- George-Levi Gayle & Christelle Viauroux, "undated". "Root-N Consistent Semiparametric Estimators of a Dynamic Panel Sample Selection Model," GSIA Working Papers 2004-E62, Carnegie Mellon University, Tepper School of Business.
- Christelle Viauroux, G.L. Gayle, 2004. "Root-N Consistent Semiparametric Eestimators of a Dynamic Panel Sample Selection Model," University of Cincinnati, Economics Working Papers Series 2004-05, University of Cincinnati, Department of Economics.
- Xiaobo Wang & Jiayu Huang & Guosheng Yin & Jian Huang & Yuanshan Wu, 2023. "Double bias correction for high-dimensional sparse additive hazards regression with covariate measurement errors," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 29(1), pages 115-141, January.
- Inkmann, J., 2005.
"Inverse Probability Weighted Generalised Empirical Likelihood Estimators : Firm Size and R&D Revisited,"
Discussion Paper
2005-131, Tilburg University, Center for Economic Research.
- Inkmann, J., 2005. "Inverse Probability Weighted Generalised Empirical Likelihood Estimators : Firm Size and R&D Revisited," Other publications TiSEM c39cff1f-16c1-4446-a83f-c, Tilburg University, School of Economics and Management.
- Christis Katsouris, 2023. "Estimating Conditional Value-at-Risk with Nonstationary Quantile Predictive Regression Models," Papers 2311.08218, arXiv.org, revised Apr 2024.
- Hu, Yingyao, 2008. "Identification and estimation of nonlinear models with misclassification error using instrumental variables: A general solution," Journal of Econometrics, Elsevier, vol. 144(1), pages 27-61, May.
- Zhou, Ling & Lin, Huazhen & Chen, Kani & Liang, Hua, 2019. "Efficient estimation and computation of parameters and nonparametric functions in generalized semi/non-parametric regression models," Journal of Econometrics, Elsevier, vol. 213(2), pages 593-607.
- Zequn Jin & Lihua Lin & Zhengyu Zhang, 2022. "Identification and Auto-debiased Machine Learning for Outcome Conditioned Average Structural Derivatives," Papers 2211.07903, arXiv.org.
- Matias D. Cattaneo & Michael Jansson, 2018. "Kernel†Based Semiparametric Estimators: Small Bandwidth Asymptotics and Bootstrap Consistency," Econometrica, Econometric Society, vol. 86(3), pages 955-995, May.
- Chen, Xiaohong, 2007. "Large Sample Sieve Estimation of Semi-Nonparametric Models," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 76, Elsevier.
- Vira Semenova, 2020. "Generalized Lee Bounds," Papers 2008.12720, arXiv.org, revised Feb 2023.
- Cristian Huse, 2004. "Comparing Nonparametric Regression Quantiles," Econometric Society 2004 Latin American Meetings 165, Econometric Society.
- Xiaohong Chen & Jack Favilukis & Sydney C. Ludvigson, 2013.
"An estimation of economic models with recursive preferences,"
Quantitative Economics, Econometric Society, vol. 4(1), pages 39-83, March.
- Chen, Xiaohong & Favilukis, Jack & Ludvigson, Sydney C., 2007. "An estimation of economic models with recursive preferences," LSE Research Online Documents on Economics 24502, London School of Economics and Political Science, LSE Library.
- Chen, Xiaohong & Favilukis, Jack & Ludvigson, Sydney C., 2013. "An estimation of economic models with recursive preferences," LSE Research Online Documents on Economics 37392, London School of Economics and Political Science, LSE Library.
- Xiaohong Chen & Jack Favilukis & Sydney C. Ludvigson, 2011. "An Estimation of Economic Models with Recursive Preferences," NBER Working Papers 17130, National Bureau of Economic Research, Inc.
- Xiaohong Chen & Jack Fuvilukis & Sydney Ludvigson, 2012. "An Estimation of Economic Models with Recursive Preferences," Cowles Foundation Discussion Papers 1883, Cowles Foundation for Research in Economics, Yale University.
- Xiaohong Chen & Jack Favilukis & Sydney Ludvigson, 2012. "An estimation of economic models with recursive preferences," CeMMAP working papers CWP32/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sydney Ludvigson & Jack Favalukus & Xiaohong Chen, 2007. "An Estimation of Economic Models with Recursive Preferences," 2007 Meeting Papers 543, Society for Economic Dynamics.
- Powell, James L. & Stoker, Thomas M., 1996.
"Optimal bandwidth choice for density-weighted averages,"
Journal of Econometrics, Elsevier, vol. 75(2), pages 291-316, December.
- Powell, James L. & Stoker, Thomas M., 1992. "Optimal bandwidth choice for density-weighted averages," Working papers 3424-92., Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Patrick Bajari & Stephanie Houghton & Steve Tadelis, 2006. "Bidding for Incomplete Contracts: An Empirical Analysis," NBER Working Papers 12051, National Bureau of Economic Research, Inc.
- Jinyong Hahn & Zhipeng Liao & Geert Ridder & Ruoyao Shi, 2021.
"The Influence Function of Semiparametric Two-step Estimators with Estimated Control Variables,"
Working Papers
202202, University of California at Riverside, Department of Economics.
- Jinyong Hahn & Zhipeng Liao & Geert Ridder & Ruoyao Shi, 2021. "The Influence Function of Semiparametric Two-step Estimators with Estimated Control Variables," Working Papers 202107, University of California at Riverside, Department of Economics.
- Chen, Xiaohong & Fan, Yanqin, 2006.
"Estimation of copula-based semiparametric time series models,"
Journal of Econometrics, Elsevier, vol. 130(2), pages 307-335, February.
- Xiaohong Chen & Yanqin Fan, 2002. "Estimation of Copula-Based Semiparametric Time Series Models," Vanderbilt University Department of Economics Working Papers 0226, Vanderbilt University Department of Economics, revised Oct 2004.
- Yanqin Fan & Xiaohong Chen, 2004. "Estimation of Copula-Based Semiparametric Time Series Models," Econometric Society 2004 Far Eastern Meetings 559, Econometric Society.
- Stéphane Bonhomme & Martin Weidner, 2022. "Minimizing sensitivity to model misspecification," Quantitative Economics, Econometric Society, vol. 13(3), pages 907-954, July.
- Whitney K. Newey & James M. Robins, 2017. "Cross-fitting and fast remainder rates for semiparametric estimation," CeMMAP working papers CWP41/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Jean-Jacques Forneron, 2019. "A Sieve-SMM Estimator for Dynamic Models," Papers 1902.01456, arXiv.org, revised Jan 2023.
- Bang, Minji & Gao, Wayne Yuan & Postlewaite, Andrew & Sieg, Holger, 2023.
"Using monotonicity restrictions to identify models with partially latent covariates,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 892-921.
- Minji Bang & Wayne Yuan Gao & Andrew Postlewaite & Holger Sieg, 2021. "Using Monotonicity Restrictions to Identify Models with Partially Latent Covariates," Papers 2101.05847, arXiv.org, revised Jun 2022.
- Minji Bang & Wayne Gao & Andrew Postlewaite & Holger Sieg, 2021. "Using Monotonicity Restrictions to Identify Models with Partially Latent Covariates," NBER Working Papers 28436, National Bureau of Economic Research, Inc.
- Li Liu & Hao Wang & Yanyan Liu & Jian Huang, 2021. "Model pursuit and variable selection in the additive accelerated failure time model," Statistical Papers, Springer, vol. 62(6), pages 2627-2659, December.
- Michael Lechner & Stefan Lollivier & Thierry Magnac, 2005.
"Parametric Binary Choice Models,"
University of St. Gallen Department of Economics working paper series 2005
2005-23, Department of Economics, University of St. Gallen.
- Lechner, Michael & Lollivier, Stefan & Magnac, Thierry, 2005. "Parametric Binary Choice Models," IDEI Working Papers 398, Institut d'Économie Industrielle (IDEI), Toulouse.
- Kristensen, Dennis, 2004.
"Estimation in two classes of semiparametric diffusion models,"
LSE Research Online Documents on Economics
24739, London School of Economics and Political Science, LSE Library.
- Dennis Kristensen, 2004. "Estimation in Two Classes of Semiparametric Diffusion Models," FMG Discussion Papers dp500, Financial Markets Group.
- Chen, Xiaohong & Linton, Oliver & Jacho-Chávez, David T., 2009.
"An alternative way of computing efficient instrumental variable estimators,"
LSE Research Online Documents on Economics
58016, London School of Economics and Political Science, LSE Library.
- Xiaohong Chen & David T. Jacho-Chávez & Oliver Linton, 2009. "An Alternative Way of ComputingEfficient Instrumental VariableEstimators," STICERD - Econometrics Paper Series 536, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Geert Ridder & Yingyao Hu, 2004. "Estimation of Nonlinear Models with Measurement Error Using Marginal Information," Econometric Society 2004 North American Summer Meetings 21, Econometric Society.
- Mengshan Xu & Taisuke Otsu, 2022. "Isotonic propensity score matching," Papers 2207.08868, arXiv.org, revised Aug 2024.
- Davide Viviano & Jelena Bradic, 2020. "Fair Policy Targeting," Papers 2005.12395, arXiv.org, revised Jun 2022.
- Hahn, Jinyong & Ridder, Geert, 2017. "Instrumental variable estimation of nonlinear models with nonclassical measurement error using control variables," Journal of Econometrics, Elsevier, vol. 200(2), pages 238-250.
- Nail Kashaev, 2018.
"Identification and estimation of multinomial choice models with latent special covariates,"
Papers
1811.05555, arXiv.org, revised Mar 2022.
- Nail Kashaev, 2022. "Identification and Estimation of Multinomial Choice Models with Latent Special Covariates," University of Western Ontario, Departmental Research Report Series 20224, University of Western Ontario, Department of Economics.
- Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
- Juan Carlos Escanciano, 2020. "Irregular Identification of Structural Models with Nonparametric Unobserved Heterogeneity," Papers 2005.08611, arXiv.org.
- Samy Ben Naceur and Mohamed Goaied, "undated". "The Value Creation Process in the Tunisia Stock Exchange," API-Working Paper Series 9903, Arab Planning Institute - Kuwait, Information Center.
- Ariel Pakes, 2008. "Theory and Empirical Work on Imperfectly Competitive Markets," NBER Working Papers 14117, National Bureau of Economic Research, Inc.
- Elia Lapenta, 2022. "A Bootstrap Specification Test for Semiparametric Models with Generated Regressors," Papers 2212.11112, arXiv.org, revised Oct 2023.
- repec:hal:wpspec:info:hdl:2441/dambferfb7dfprc9m01h6f4h2 is not listed on IDEAS
- Sølvsten, Mikkel, 2020. "Robust estimation with many instruments," Journal of Econometrics, Elsevier, vol. 214(2), pages 495-512.
- Tim Erickson & Ariel Pakes, 2011.
"An Experimental Component Index for the CPI: From Annual Computer Data to Monthly Data on Other Goods,"
American Economic Review, American Economic Association, vol. 101(5), pages 1707-1738, August.
- Timothy Erickson & Ariel Pakes, 2008. "An Experimental Component Index for the CPI: From Annual Computer Data to Monthly Data on Other Goods," NBER Working Papers 14368, National Bureau of Economic Research, Inc.
- Srisuma, Sorawoot & Linton, Oliver, 2012.
"Semiparametric estimation of Markov decision processes with continuous state space,"
Journal of Econometrics, Elsevier, vol. 166(2), pages 320-341.
- Oliver Linton & Sorawoot Srisuma, 2010. "Semiparametric Estimation of Markov Decision Processeswith Continuous State Space," STICERD - Econometrics Paper Series 550, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Linton, Oliver & Srisuma, Sorawoot, 2010. "Semiparametric estimation of Markov decision processeswith continuous state space," LSE Research Online Documents on Economics 58187, London School of Economics and Political Science, LSE Library.
- Shakeeb Khan & Xiaoying Lan & Elie Tamer & Qingsong Yao, 2021. "Estimating High Dimensional Monotone Index Models by Iterative Convex Optimization1," Papers 2110.04388, arXiv.org, revised Feb 2023.
- Ying-Ying Lee, 2018. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Papers 1811.00157, arXiv.org.
- Matsushita, Yukitoshi & Otsu, Taisuke, 2020. "Likelihood inference on semiparametric models with generated regressors," LSE Research Online Documents on Economics 102696, London School of Economics and Political Science, LSE Library.
- Rahul Singh, 2021. "Kernel Ridge Riesz Representers: Generalization, Mis-specification, and the Counterfactual Effective Dimension," Papers 2102.11076, arXiv.org, revised Jul 2024.
- Karun Adusumilli & Dita Eckardt, 2019. "Temporal-Difference estimation of dynamic discrete choice models," Papers 1912.09509, arXiv.org, revised Dec 2022.
- Bryan W. Brown, 2000. "Efficient Semiparametric Prediction Intervals," Econometric Society World Congress 2000 Contributed Papers 1633, Econometric Society.
- Victor Aguirregabiria & Arvind Magesan, 2013.
"Euler Equations for the Estimation of Dynamic Discrete Choice Structural Models,"
Advances in Econometrics, in: Structural Econometric Models, volume 31, pages 3-44,
Emerald Group Publishing Limited.
- Victor Aguirregabiria & Arvind Magesan, 2013. "Euler Equations for the Estimation of Dynamic Discrete Choice Structural Models," Working Papers tecipa-489, University of Toronto, Department of Economics.
- Sasaki, Yuya & Ura, Takuya, 2023. "Estimation and inference for policy relevant treatment effects," Journal of Econometrics, Elsevier, vol. 234(2), pages 394-450.
- Alexandre Belloni & Victor Chernozhukov & Abhishek Kaul, 2017.
"Confidence bands for coefficients in high dimensional linear models with error-in-variables,"
CeMMAP working papers
CWP22/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Abhishek Kaul, 2017. "Confidence bands for coefficients in high dimensional linear models with error-in-variables," CeMMAP working papers 22/17, Institute for Fiscal Studies.
- Chuan Goh, 2009. "Bootstrap-based Bandwidth Selection for Semiparametric Generalized Regression Estimators," Working Papers tecipa-375, University of Toronto, Department of Economics.
- Daniel Ackerberg & Xiaohong Chen & Jinyong Hahn, 2012.
"A Practical Asymptotic Variance Estimator for Two-Step Semiparametric Estimators,"
The Review of Economics and Statistics, MIT Press, vol. 94(2), pages 481-498, May.
- Daniel Ackerberg & Xiaohong Chen & Jinyong Hahn, 2011. "A practical asymptotic variance estimator for two-step semiparametric estimators," CeMMAP working papers CWP22/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Matias D Cattaneo & Michael Jansson & Xinwei Ma, 2019.
"Two-Step Estimation and Inference with Possibly Many Included Covariates,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(3), pages 1095-1122.
- Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Two-Step Estimation and Inference with Possibly Many Included Covariates," Papers 1807.10100, arXiv.org.
- Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2019. "Two-Step Estimation and Inference with Possibly Many Included Covariates," University of California at San Diego, Economics Working Paper Series qt86c7x315, Department of Economics, UC San Diego.
- Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2019. "Two-Step Estimation and Inference with Possibly Many Included Covariates," Department of Economics, Working Paper Series qt86c7x315, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Schennach, Susanne & White, Halbert & Chalak, Karim, 2012.
"Local indirect least squares and average marginal effects in nonseparable structural systems,"
Journal of Econometrics, Elsevier, vol. 166(2), pages 282-302.
- Susanne Schennach & Halbert White & Karim Chalak, 2007. "Local Indirect Least Squares and Average Marginal Effects in Nonseparable Structural Systems," Boston College Working Papers in Economics 680, Boston College Department of Economics, revised 26 Dec 2009.
- Victor Aguiar & Roberto Serrano, 2015. "Slutsky Matrix Norms and Revealed Preference Tests of Consumer Behaviour," Working Papers 2015-1, Brown University, Department of Economics.
- Huber, Martin & Mellace, Giovanni, 2012. "Relaxing monotonicity in the identification of local average treatment effects," Economics Working Paper Series 1212, University of St. Gallen, School of Economics and Political Science.
- Song, Suyong, 2015. "Semiparametric estimation of models with conditional moment restrictions in the presence of nonclassical measurement errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 95-109.
- Rui Duan & C. Jason Liang & Pamela Shaw & Cheng Yong Tang & Yong Chen, 2020. "Missing at Random or Not: A Semiparametric Testing Approach," Papers 2003.11181, arXiv.org.
- Jia Li & Dacheng Xiu, 2016.
"Generalized Method of Integrated Moments for High‐Frequency Data,"
Econometrica, Econometric Society, vol. 84(4), pages 1613-1633, July.
- Jia Li & Dacheng Xiu, 2016. "Generalized Method of Integrated Moments for High‐Frequency Data," Econometrica, Econometric Society, vol. 84, pages 1613-1633, July.
- Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2010. "Measuring the Effects of Segregation in the Presence of Social Spillovers: A Nonparametric Approach," NBER Working Papers 16499, National Bureau of Economic Research, Inc.
- Manuel Arellano, 2003.
"Discrete choices with panel data,"
Investigaciones Economicas, Fundación SEPI, vol. 27(3), pages 423-458, September.
- Arellano, M., 2001. "Discrete Choices with Panel Data," Papers 0101, Centro de Estudios Monetarios Y Financieros-.
- Manuel Arellano, 2001. "Discrete Choices with Panel Data," Working Papers wp2001_0101, CEMFI.
- Hahn, Jinyong & Ridder, Geert, 2019. "Three-stage semi-parametric inference: Control variables and differentiability," Journal of Econometrics, Elsevier, vol. 211(1), pages 262-293.
- Patrick Bajari & Stephanie Houghton & Steven Tadelis, 2014. "Bidding for Incomplete Contracts: An Empirical Analysis of Adaptation Costs," American Economic Review, American Economic Association, vol. 104(4), pages 1288-1319, April.
- Arthur Lewbel, 2000. "Asymptotic Trimming for Bounded Density Plug-in Estimators," Boston College Working Papers in Economics 479, Boston College Department of Economics, revised 30 Oct 2000.
- Ming Li, 2021. "Identification and Estimation in a Time-Varying Endogenous Random Coefficient Panel Data Model," Papers 2110.00982, arXiv.org, revised Nov 2024.
- Mehmet Soytas & Limor Golan & George-Levi Gayle, 2014.
"What Accounts for the Racial Gap in Time Allocation and Intergenerational Transmission of Human Capital?,"
2014 Meeting Papers
83, Society for Economic Dynamics.
- George-Levi Gayle & Limor Golan & Mehmet A. Soytas, 2015. "What Accounts for the Racial Gap in Time Allocation and Intergenerational Transmission of Human Capital?," Working Papers 2015-18, Federal Reserve Bank of St. Louis.
- Ruoyao Shi, 2021. "An Averaging Estimator for Two Step M Estimation in Semiparametric Models," Working Papers 202105, University of California at Riverside, Department of Economics.
- Mikkel Plagborg‐Møller & Christian K. Wolf, 2021.
"Local Projections and VARs Estimate the Same Impulse Responses,"
Econometrica, Econometric Society, vol. 89(2), pages 955-980, March.
- Mikkel Plagborg-Møller & Christian K. Wolf, 2020. "Local Projections and VARs Estimate the Same Impulse Responses," Working Papers 2020-16, Princeton University. Economics Department..
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey, 2016.
"Double machine learning for treatment and causal parameters,"
CeMMAP working papers
49/16, Institute for Fiscal Studies.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey, 2016. "Double machine learning for treatment and causal parameters," CeMMAP working papers CWP49/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Fran�ois Laisney & Michael Lechner, 2003.
"Almost Consistent Estimation of Panel Probit Models with "Small" Fixed Effects,"
Econometric Reviews, Taylor & Francis Journals, vol. 22(1), pages 1-28, February.
- Michael Lechner & Francois Laisney, 2002. "Almost Consistent Estimation of Panel Probit Models with 'Small' Fixed Effects," University of St. Gallen Department of Economics working paper series 2002 2002-15, Department of Economics, University of St. Gallen.
- Lechner, Michael & Laisney, François, 2002. "Almost Consistent Estimation of Panel Probit Models with 'Small' Fixed Effects," ZEW Discussion Papers 02-64, ZEW - Leibniz Centre for European Economic Research.
- Victor Chernozhukov & Jerry Hausman & Whitney K. Newey, 2019.
"Demand analysis with many prices,"
CeMMAP working papers
CWP59/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Jerry A. Hausman & Whitney K. Newey, 2019. "Demand Analysis with Many Prices," NBER Working Papers 26424, National Bureau of Economic Research, Inc.
- Qiu, Chen & Otsu, Taisuke, 2022. "Information theoretic approach to high dimensional multiplicative models: stochastic discount factor and treatment effect," LSE Research Online Documents on Economics 110494, London School of Economics and Political Science, LSE Library.
- Haitian Xie, 2020. "Efficient and Robust Estimation of the Generalized LATE Model," Papers 2001.06746, arXiv.org, revised Feb 2022.
- Arellano, Manuel & Carrasco, Raquel, 2003.
"Binary choice panel data models with predetermined variables,"
Journal of Econometrics, Elsevier, vol. 115(1), pages 125-157, July.
- Arellano, M & Carrasco, R, 1996. "Binary Choice Panel Data Models with Predetermined Variables," Papers 9618, Centro de Estudios Monetarios Y Financieros-.
- Frumento, Paolo & Bottai, Matteo, 2017. "An estimating equation for censored and truncated quantile regression," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 53-63.
- Sergio Firpo, 2007.
"Efficient Semiparametric Estimation of Quantile Treatment Effects,"
Econometrica, Econometric Society, vol. 75(1), pages 259-276, January.
- Sergio Firpo, 2004. "Efficient Semiparametric Estimation of Quantile Treatment Effects," Econometric Society 2004 North American Summer Meetings 605, Econometric Society.
- Bravo, Francesco & Escanciano, Juan Carlos & Van Keilegom, Ingrid, 2015. "Wilks' Phenomenon in Two-Step Semiparametric Empirical Likelihood Inference," LIDAM Discussion Papers ISBA 2015016, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Cattaneo, Matias D., 2010. "Efficient semiparametric estimation of multi-valued treatment effects under ignorability," Journal of Econometrics, Elsevier, vol. 155(2), pages 138-154, April.
- Wang, Xiaoguang & Shi, Xinyong, 2014. "Robust estimation for survival partially linear single-index models," Computational Statistics & Data Analysis, Elsevier, vol. 80(C), pages 140-152.
- Li, Rui & Wan, Alan T.K. & You, Jinhong, 2016. "Semiparametric GMM estimation and variable selection in dynamic panel data models with fixed effects," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 401-423.
- Zhengyu Zhang & Zequn Jin & Lihua Lin, 2024. "Identification and inference of outcome conditioned partial effects of general interventions," Papers 2407.16950, arXiv.org.
- repec:hal:journl:peer-00741628 is not listed on IDEAS
- Stephan Hetzenecker & Maximilian Osterhaus, 2024. "Deep Learning for the Estimation of Heterogeneous Parameters in Discrete Choice Models," Papers 2408.09560, arXiv.org.
- Ansel Jason & Hong Han & Jessie Li and, 2018. "OLS and 2SLS in Randomized and Conditionally Randomized Experiments," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 238(3-4), pages 243-293, July.
- Ruijun Bu & Jihyun Kim & Bin Wang, 2020. "Uniform and Lp Convergences of Nonparametric Estimation for Diffusion Models," Working Papers 202021, University of Liverpool, Department of Economics.
- Simon Calmar Andersen & Louise Beuchert & Phillip Heiler & Helena Skyt Nielsen, 2023. "A Guide to Impact Evaluation under Sample Selection and Missing Data: Teacher's Aides and Adolescent Mental Health," Papers 2308.04963, arXiv.org.
- Melenberg, B. & Polbennikov, S.Y., 2005. "Testing for Mean-Coherent Regular Risk Spanning," Other publications TiSEM 0cd9ce8d-542e-418e-be38-f, Tilburg University, School of Economics and Management.
- Jinyong Hahn & Geert Ridder, 2013.
"Asymptotic Variance of Semiparametric Estimators With Generated Regressors,"
Econometrica, Econometric Society, vol. 81(1), pages 315-340, January.
- Jinyong Hahn & Geert Ridder, 2010. "The asymptotic variance of semi-parametric estimators with generated regressors," CeMMAP working papers CWP23/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Jinyong Hahn & Geert Ridder, 2010. "The Asymptotic Variance of Semi-parametric Estimators with Generated Regressors," Textos para discussão 575, Department of Economics PUC-Rio (Brazil).
- Yiguo Sun, 2005. "Semiparametric Efficient Estimation of Partially Linear Quantile Regression Models," Annals of Economics and Finance, Society for AEF, vol. 6(1), pages 105-127, May.
- Chen, Jiafeng & Ritzwoller, David M., 2023. "Semiparametric estimation of long-term treatment effects," Journal of Econometrics, Elsevier, vol. 237(2).
- Bertille Antoine & Eric Renault, 2012. "Efficient Inference with Poor Instruments: a General Framework," Discussion Papers dp12-04, Department of Economics, Simon Fraser University.
- Daniel Ackerberg & Xiaohong Chen & Jinyong Hahn, 2011. "Asymptotic Variance Estimator for Two-Step Semiparametric Estimators," Cowles Foundation Discussion Papers 1803, Cowles Foundation for Research in Economics, Yale University.
- Rothe, Christoph, 2010. "Nonparametric estimation of distributional policy effects," Journal of Econometrics, Elsevier, vol. 155(1), pages 56-70, March.
- Yukitoshi Matsushita & Taisuke Otsu, 2019. "Jackknife, small bandwidth and high-dimensional asymptotics," STICERD - Econometrics Paper Series 605, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Taisuke Otsu & Mengshan Xu, 2022. "Isotonic propensity score matching," STICERD - Econometrics Paper Series 623, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Yukitoshi Matsushita & Taisuke Otsu, 2016. "Likelihood inference on semiparametric models with generated regressors," STICERD - Econometrics Paper Series 587, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Rodriguez Poo, Juan M. & Vieu, Philippe, 2000. "Semiparametric estimation of weak and strong separable models," DES - Working Papers. Statistics and Econometrics. WS 10064, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Michel Delecroix & Marian Hristache & Valentin Patilea, 2004. "On Semiparametric estimation in Single-Index Regression," Working Papers 2004-17, Center for Research in Economics and Statistics.
- Xiaohong Chen & Oliver Linton & Ingred van Keilegom, 2002. "Estimation of semiparametric models when the criterion function is not smooth," CeMMAP working papers 02/02, Institute for Fiscal Studies.
- Xiaohong Chen & Han Hong & Alessandro Tarozzi, 2008.
"Semiparametric Efficiency in GMM Models of Nonclassical Measurement Errors, Missing Data and Treatment Effects,"
Cowles Foundation Discussion Papers
1644, Cowles Foundation for Research in Economics, Yale University.
- Chen, Xiaohong & Hong, Han & Tarozzi, Alessandro, 2008. "Semiparametric Efficiency in GMM Models of Nonclassical Measurement Errors, Missing Data and Treatment Effects," Working Papers 42, Yale University, Department of Economics.
- Firpo, Sergio Pinheiro & Pinto, Rafael de Carvalho Cayres, 2012. "Combining Strategies for the Estimation of Treatment Effects," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 32(1), March.
- Lewbel, Arthur, 2000.
"Semiparametric qualitative response model estimation with unknown heteroscedasticity or instrumental variables,"
Journal of Econometrics, Elsevier, vol. 97(1), pages 145-177, July.
- Arthur Lewbel, 1999. "Semiparametric Qualitative Response Model Estimation with Unknown Heteroskedasticity or Instrumental Variables," Boston College Working Papers in Economics 454, Boston College Department of Economics.
- Qingliang Fan & Yu-Chin Hsu & Robert P. Lieli & Yichong Zhang, 2022.
"Estimation of Conditional Average Treatment Effects With High-Dimensional Data,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 313-327, January.
- Qingliang Fan & Yu-Chin Hsu & Robert P. Lieli & Yichong Zhang, 2019. "Estimation of Conditional Average Treatment Effects with High-Dimensional Data," Papers 1908.02399, arXiv.org, revised Jul 2021.
- María José Lombardía & Stefan Sperlich, 2008. "Semiparametric inference in generalized mixed effects models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(5), pages 913-930, November.
- Anish Agarwal & Rahul Singh, 2021. "Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy," Papers 2107.02780, arXiv.org, revised Feb 2024.
- Wilke, Ralf A., 2003. "Semiparametric Estimation of Regression Functions Under Shape Invariance Restrictions," ZEW Discussion Papers 03-64, ZEW - Leibniz Centre for European Economic Research.
- James J. Heckman, 2005. "Micro Data, Heterogeneity and the Evaluation of Public Policy Part 2," The American Economist, Sage Publications, vol. 49(1), pages 16-44, March.
- Claudia Noack & Tomasz Olma & Christoph Rothe, 2021. "Flexible Covariate Adjustments in Regression Discontinuity Designs," Papers 2107.07942, arXiv.org, revised Jul 2024.
- Yizhen Xu & Numair Sani & AmirEmad Ghassami & Ilya Shpitser, 2021. "Multiply Robust Causal Mediation Analysis with Continuous Treatments," Papers 2105.09254, arXiv.org, revised Oct 2024.
- Rahul Singh & Liyang Sun, 2024.
"Double robustness for complier parameters and a semi-parametric test for complier characteristics,"
The Econometrics Journal, Royal Economic Society, vol. 27(1), pages 1-20.
- Rahul Singh & Liyang Sun, 2019. "Double Robustness for Complier Parameters and a Semiparametric Test for Complier Characteristics," Papers 1909.05244, arXiv.org, revised Dec 2022.
- Arthur Lewbel, 2005. "Simple Endogenous Binary Choice and Selection Panel Model Estimators," Boston College Working Papers in Economics 613, Boston College Department of Economics, revised 04 Sep 2006.
- Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
- Carolina Caetano & Gregorio Caetano & Hao Fe & Eric R. Nielsen, 2021. "A Dummy Test of Identification in Models with Bunching," Finance and Economics Discussion Series 2021-068, Board of Governors of the Federal Reserve System (U.S.).
- Victor Chernozhukov & Whitney K. Newey & Rahul Singh, 2022.
"Automatic Debiased Machine Learning of Causal and Structural Effects,"
Econometrica, Econometric Society, vol. 90(3), pages 967-1027, May.
- Victor Chernozhukov & Whitney K Newey & Rahul Singh, 2018. "Automatic Debiased Machine Learning of Causal and Structural Effects," Papers 1809.05224, arXiv.org, revised Oct 2022.
- V Chernozhukov & W K Newey & R Singh, 2023.
"A simple and general debiased machine learning theorem with finite-sample guarantees,"
Biometrika, Biometrika Trust, vol. 110(1), pages 257-264.
- Victor Chernozhukov & Whitney K. Newey & Rahul Singh, 2021. "A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees," Papers 2105.15197, arXiv.org, revised Oct 2022.
- Liu, Lin & Mukherjee, Rajarshi & Robins, James M., 2024. "Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators," Journal of Econometrics, Elsevier, vol. 240(2).
- Xiufeng Yan, 2021. "Autoregressive conditional duration modelling of high frequency data," Papers 2111.02300, arXiv.org.
- Wayne Yuan Gao & Sheng Xu & Kan Xu, 2020. "Two-Stage Maximum Score Estimator," Papers 2009.02854, arXiv.org, revised Sep 2022.
- Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
- Neng-Chieh Chang, 2018. "Semiparametric Difference-in-Differences with Potentially Many Control Variables," Papers 1812.10846, arXiv.org, revised Jan 2019.
- Xiaohong Chen & Yuan Liao & Weichen Wang, 2022. "Inference on Time Series Nonparametric Conditional Moment Restrictions Using General Sieves," Papers 2301.00092, arXiv.org, revised Jan 2023.
- Joachim Inkmann, 2010. "Estimating Firm Size Elasticities of Product and Process R&D," Economica, London School of Economics and Political Science, vol. 77(306), pages 384-402, April.
- Arthur Lewbel & Linton, Oliver Linton, 1998. "Nonparametric Censored Regression," Cowles Foundation Discussion Papers 1186, Cowles Foundation for Research in Economics, Yale University.
- Victor Chernozhukov & Whitney K. Newey & James Robins, 2018. "Double/de-biased machine learning using regularized Riesz representers," CeMMAP working papers CWP15/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Qizhao Chen & Vasilis Syrgkanis & Morgane Austern, 2022. "Debiased Machine Learning without Sample-Splitting for Stable Estimators," Papers 2206.01825, arXiv.org, revised Nov 2022.
- Kuersteiner, Guido M., 2019. "Invariance principles for dependent processes indexed by Besov classes with an application to a Hausman test for linearity," Journal of Econometrics, Elsevier, vol. 211(1), pages 243-261.
- Yixin Fang & Heng Lian & Hua Liang, 2018. "A generalized partially linear framework for variance functions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 70(5), pages 1147-1175, October.
- Yusuke Narita & Shota Yasui & Kohei Yata, 2018. "Efficient Counterfactual Learning from Bandit Feedback," Cowles Foundation Discussion Papers 2155, Cowles Foundation for Research in Economics, Yale University.
- Armstrong, Timothy B. & Bertanha, Marinho & Hong, Han, 2014. "A fast resample method for parametric and semiparametric models," Journal of Econometrics, Elsevier, vol. 179(2), pages 128-133.
- Yingyao Hu & Geert Ridder, 2010.
"On Deconvolution as a First Stage Nonparametric Estimator,"
Econometric Reviews, Taylor & Francis Journals, vol. 29(4), pages 365-396.
- Yingyao Hu & Geert Ridder, 2005. "On Deconvolution as a First Stage Nonparametric Estimator," IEPR Working Papers 05.29, Institute of Economic Policy Research (IEPR).
- Ramdan Dridi, 2000. "Simulated Asymptotic Least Squares Theory," STICERD - Econometrics Paper Series 396, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Bravo, Francesco & Chu, Ba M. & Jacho-Chávez, David T., 2017. "Generalized empirical likelihood M testing for semiparametric models with time series data," Econometrics and Statistics, Elsevier, vol. 4(C), pages 18-30.
- Shuowen Chen & Hiroaki Kaido, 2022. "Robust Tests of Model Incompleteness in the Presence of Nuisance Parameters," Papers 2208.11281, arXiv.org, revised Sep 2023.
- Chen Qiu & Taisuke Otsu, 2022. "Information theoretic approach to high‐dimensional multiplicative models: Stochastic discount factor and treatment effect," Quantitative Economics, Econometric Society, vol. 13(1), pages 63-94, January.
- Feng, Guohua & Peng, Bin & Su, Liangjun & Yang, Thomas Tao, 2019. "Semi-parametric single-index panel data models with interactive fixed effects: Theory and practice," Journal of Econometrics, Elsevier, vol. 212(2), pages 607-622.
- Arthur Lewbel & Susanne M. Schennach, 2003. "A Simple Ordered Data Estimator For Inverse Density Weighted Functions," Boston College Working Papers in Economics 557, Boston College Department of Economics, revised 01 May 2005.
- Alain Trognon, 2003. "L'économétrie des panels en perspective," Revue d'économie politique, Dalloz, vol. 113(6), pages 727-748.
- Juan Carlos Escanciano & Lin Zhu, 2013. "Set inferences and sensitivity analysis in semiparametric conditionally identified models," CeMMAP working papers CWP55/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Martínez-Iriarte, Julian & Sun, Yixiao, 2021. "Identification and Estimation of Unconditional Policy Effects of an Endogenous Binary Treatment: an Unconditional MTE Approach," University of California at San Diego, Economics Working Paper Series qt2bc57830, Department of Economics, UC San Diego.
- Newey, Whitney K., 1997. "Convergence rates and asymptotic normality for series estimators," Journal of Econometrics, Elsevier, vol. 79(1), pages 147-168, July.
- Xiufeng Yan, 2021. "Multiplicative Component GARCH Model of Intraday Volatility," Papers 2111.02376, arXiv.org.
- Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.
- Dennis Kristensen, 2009. "Semiparametric Modelling and Estimation: A Selective Overview," CREATES Research Papers 2009-44, Department of Economics and Business Economics, Aarhus University.
- Gutknecht, Daniel, 2011. "Nonclassical Measurement Error in a Nonlinear (Duration) Model," Economic Research Papers 270763, University of Warwick - Department of Economics.
- Agboola, Oluwagbenga David & Yu, Han, 2023. "Neighborhood-based cross fitting approach to treatment effects with high-dimensional data," Computational Statistics & Data Analysis, Elsevier, vol. 186(C).
- Batarce, Marco, 2024. "Estimation of discrete choice models with error in variables: An application to revealed preference data with aggregate service level variables," Transportation Research Part B: Methodological, Elsevier, vol. 185(C).
- Ai, Chunrong & Sun, Li-Hsien & Zhang, Zheng & Zhu, Liping, 2024. "Testing unconditional and conditional independence via mutual information," Journal of Econometrics, Elsevier, vol. 240(2).
- Escanciano, Juan Carlos, 2023. "Irregular identification of structural models with nonparametric unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 234(1), pages 106-127.
- Choi, Jungjun & Yang, Xiye, 2022. "Asymptotic properties of correlation-based principal component analysis," Journal of Econometrics, Elsevier, vol. 229(1), pages 1-18.
- repec:hal:spmain:info:hdl:2441/dambferfb7dfprc9m01h6f4h2 is not listed on IDEAS
- J. M. Neuhaus & A. J. Scott & C. J. Wild, 2006. "Family-Specific Approaches to the Analysis of Case–Control Family Data," Biometrics, The International Biometric Society, vol. 62(2), pages 488-494, June.
- Dridi, Ramdan, 2000. "Simulated asymptotic least squares theory," LSE Research Online Documents on Economics 6861, London School of Economics and Political Science, LSE Library.
- Melenberg, B. & Polbennikov, S.Y., 2005. "Testing for Mean-Coherent Regular Risk Spanning," Discussion Paper 2005-99, Tilburg University, Center for Economic Research.
- Patrick Bajari & Han Hong, 2006. "Semiparametric Estimation of a Dynamic Game of Incomplete Information," NBER Technical Working Papers 0320, National Bureau of Economic Research, Inc.
- David M. Ritzwoller & Vasilis Syrgkanis, 2024. "Simultaneous Inference for Local Structural Parameters with Random Forests," Papers 2405.07860, arXiv.org, revised Sep 2024.
- David Bruns-Smith & Oliver Dukes & Avi Feller & Elizabeth L. Ogburn, 2023. "Augmented balancing weights as linear regression," Papers 2304.14545, arXiv.org, revised Jun 2024.
- Whitney K. Newey & James M. Robins, 2017. "Cross-fitting and fast remainder rates for semiparametric estimation," CeMMAP working papers 41/17, Institute for Fiscal Studies.
- Lewbel, Arthur & Schennach, Susanne M., 2007. "A simple ordered data estimator for inverse density weighted expectations," Journal of Econometrics, Elsevier, vol. 136(1), pages 189-211, January.
- Christoph Breunig & Ruixuan Liu & Zhengfei Yu, 2022. "Double Robust Bayesian Inference on Average Treatment Effects," Papers 2211.16298, arXiv.org, revised Oct 2024.
- Isaac Meza & Rahul Singh, 2021. "Nested Nonparametric Instrumental Variable Regression: Long Term, Mediated, and Time Varying Treatment Effects," Papers 2112.14249, arXiv.org, revised Mar 2024.
- Gregory N. Price, 2005. "The Causal Effects of Participation in the American Economic Association Summer Minority Program," Southern Economic Journal, John Wiley & Sons, vol. 72(1), pages 78-97, July.
- Ying-Ying Lee, 2014. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Economics Series Working Papers 706, University of Oxford, Department of Economics.