Daniel Wilhelm
Personal Details
First Name: | Daniel |
Middle Name: | |
Last Name: | Wilhelm |
Suffix: | |
RePEc Short-ID: | pwi343 |
[This author has chosen not to make the email address public] | |
http://www.ucl.ac.uk/~uctpdwi/ | |
Terminal Degree: | 2012 Booth School of Business; University of Chicago (from RePEc Genealogy) |
Affiliation
(10%) Centre for Microdata Methods and Practice (CEMMAP)
London, United Kingdomhttp://www.cemmap.ac.uk/
RePEc:edi:cmifsuk (more details at EDIRC)
(90%) Department of Economics
University College London (UCL)
London, United Kingdomhttp://www.ucl.ac.uk/economics/
RePEc:edi:deucluk (more details at EDIRC)
Research output
Jump to: Working papers Articles SoftwareWorking papers
- Magne Mogstad & Joseph P. Romano & Azeem Shaikh & Daniel Wilhelm, 2022.
"Statistical Uncertainty in the Ranking of Journals and Universities,"
NBER Working Papers
29768, National Bureau of Economic Research, Inc.
- Magne Mogstad & Joseph Romano & Azeem Shaikh & Daniel Wilhelm, 2022. "Statistical Uncertainty in the Ranking of Journals and Universities," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 630-634, May.
- Dongwoo Kim & Daniel Wilhelm, 2021.
"Powerful t-tests in the presence of nonclassical measurement error,"
CeMMAP working papers
CWP18/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Dongwoo Kim & Daniel Wilhelm, 2024. "Powerful t-tests in the presence of nonclassical measurement error," Econometric Reviews, Taylor & Francis Journals, vol. 43(6), pages 345-378, July.
- Dongwoo Kim & Daniel Wilhelm, 2023. "Powerful t-tests in the presence of nonclassical measurement error," IFS Working Papers WCWP22/23, Institute for Fiscal Studies.
- Dongwoo Kim & Daniel Wilhelm, 2017. "Powerful t-Tests in the presence of nonclassical measurement error," CeMMAP working papers 57/17, Institute for Fiscal Studies.
- Dongwoo Kim & Daniel Wilhelm, 2023. "Powerful t-tests in the presence of nonclassical measurement error," CeMMAP working papers 22/23, Institute for Fiscal Studies.
- Dongwoo Kim & Daniel Wilhelm, 2017. "Powerful t-Tests in the presence of nonclassical measurement error," CeMMAP working papers CWP57/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm & Magne Mogstad & Azeem Shaikh, 2021.
"Finite- and Large-Sample Inference for Ranks using Multinomial Data with an Application to Ranking Political Parties,"
RF Berlin - CReAM Discussion Paper Series
2132, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
- Sergei Bazylik & Magne Mogstad & Joseph P. Romano & Azeem Shaikh & Daniel Wilhelm, 2021. "Finite- and Large-Sample Inference for Ranks using Multinomial Data with an Application to Ranking Political Parties," NBER Working Papers 29519, National Bureau of Economic Research, Inc.
- Sergei Bazylik & Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2021. "Finite- and large-sample inference for ranks using multinomial data with an application to ranking political parties," CeMMAP working papers CWP40/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sergei Bazylik & Magne Mogstad & Joseph Romano & Azeem Shaikh & Daniel Wilhelm, 2024. "Finite- and Large-Sample Inference for Ranks using Multinomial Data with an Application to Ranking Political Parties," Papers 2402.00192, arXiv.org.
- Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2020.
"Inference for Ranks with Applications to Mobility across Neighborhoods and Academic Achievement across Countries,"
Working Papers
2020-16, Becker Friedman Institute for Research In Economics.
- Magne Mogstad & Joseph P Romano & Azeem M Shaikh & Daniel Wilhelm, 2024. "Inference for Ranks with Applications to Mobility across Neighbourhoods and Academic Achievement across Countries," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(1), pages 476-518.
- Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2023. "Inference for ranks with applications to mobility across neighborhoods and academic achievement across countries," CeMMAP working papers 03/23, Institute for Fiscal Studies.
- Magne Mogstad & Joseph P. Romano & Daniel Wilhelm & Azeem M. Shaikh, 2020. "Inference for ranks with applications to mobility across neighborhoods and academic achievement across countries," CeMMAP working papers CWP10/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2021. "Inference for ranks with applications to mobility across neighborhoods and academic achievement across countries," CeMMAP working papers CWP17/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2020. "Inference for Ranks with Applications to Mobility across Neighborhoods and Academic Achievement across Countries," RF Berlin - CReAM Discussion Paper Series 2008, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
- Magne Mogstad & Joseph P. Romano & Azeem Shaikh & Daniel Wilhelm, 2020. "Inference for Ranks with Applications to Mobility across Neighborhoods and Academic Achievement across Countries," NBER Working Papers 26883, National Bureau of Economic Research, Inc.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2020.
"An Adaptive Test of Stochastic Monotonicity,"
CeMMAP working papers
CWP17/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chetverikov, Denis & Wilhelm, Daniel & Kim, Dongwoo, 2021. "An Adaptive Test Of Stochastic Monotonicity," Econometric Theory, Cambridge University Press, vol. 37(3), pages 495-536, June.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2018. "An adaptive test of stochastic monotonicity," CeMMAP working papers CWP24/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2019. "An adaptive test of stochastic monotonicity," CeMMAP working papers CWP49/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Young Jun Lee & Daniel Wilhelm, 2019.
"Testing for the presence of measurement error in Stata,"
CeMMAP working papers
CWP47/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Young Jun Lee & Daniel Wilhelm, 2020. "Testing for the presence of measurement error in Stata," Stata Journal, StataCorp LP, vol. 20(2), pages 382-404, June.
- Young Jun Lee & Daniel Wilhelm, 2018. "Testing for the presence of measurement error in Stata," CeMMAP working papers CWP51/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm, 2018.
"Testing for the presence of measurement error,"
CeMMAP working papers
CWP45/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm, 2019. "Testing for the Presence of Measurement Error," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-18, Economic Statistics Centre of Excellence (ESCoE).
- Daniel Wilhelm, 2019. "Testing for the presence of measurement error," CeMMAP working papers CWP48/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm & Denis Chetverikov & Dongwoo Kim, 2017.
"Nonparametric instrumental variable estimation,"
CeMMAP working papers
CWP47/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Dongwoo Kim & Daniel Wilhelm, 2018. "Nonparametric instrumental-variable estimation," Stata Journal, StataCorp LP, vol. 18(4), pages 937-950, December.
- Daniel Wilhelm & Denis Chetverikov & Dongwoo Kim, 2017. "Nonparametric instrumental variable estimation," CeMMAP working papers 47/17, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2016.
"Optimal Data Collection for Randomized Control Trials,"
Papers
1603.03675, arXiv.org, revised Aug 2016.
- Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2020. "Optimal data collection for randomized control trials," The Econometrics Journal, Royal Economic Society, vol. 23(1), pages 1-31.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers 45/17, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2016. "Optimal data collection for randomized control trials," CeMMAP working papers 15/16, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2019. "Optimal Data Collection for Randomized Control Trials," CeMMAP working papers CWP21/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers 15/17, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers CWP15/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2016. "Optimal data collection for randomized control trials," CeMMAP working papers CWP15/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers CWP45/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Carneiro, Pedro & Lee, Sokbae & Wilhelm, Daniel, 2016. "Optimal Data Collection for Randomized Control Trials," IZA Discussion Papers 9908, Institute of Labor Economics (IZA).
- Federico M Bandi & Valentina Corradi & Daniel Wilhelm, 2016. "Possibly Nonstationary Cross-Validation," CeMMAP working papers CWP11/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers CWP34/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2015.
"Nonparametric instrumental variable estimation under monotonicity,"
Papers
1507.05270, arXiv.org.
- Denis Chetverikov & Daniel Wilhelm, 2017. "Nonparametric Instrumental Variable Estimation Under Monotonicity," Econometrica, Econometric Society, vol. 85, pages 1303-1320, July.
- Denis Chetverikov & Daniel Wilhelm, 2017. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP14/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP39/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2016. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP48/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Susanne M. Schennach & Daniel Wilhelm, 2014.
"A simple parametric model selection test,"
CeMMAP working papers
CWP10/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Susanne M. Schennach & Daniel Wilhelm, 2017. "A Simple Parametric Model Selection Test," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(520), pages 1663-1674, October.
- Susanne M. Schennach & Daniel Wilhelm, 2016. "A simple parametric model selection test," CeMMAP working papers 30/16, Institute for Fiscal Studies.
- Susanne M. Schennach & Daniel Wilhelm, 2014. "A simple parametric model selection test," CeMMAP working papers 10/14, Institute for Fiscal Studies.
- Susanne M. Schennach & Daniel Wilhelm, 2016. "A simple parametric model selection test," CeMMAP working papers CWP30/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm, 2014.
"Optimal bandwidth selection for robust generalized method of moments estimation,"
CeMMAP working papers
CWP15/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Wilhelm, Daniel, 2015. "Optimal Bandwidth Selection For Robust Generalized Method Of Moments Estimation," Econometric Theory, Cambridge University Press, vol. 31(5), pages 1054-1077, October.
Articles
- Magne Mogstad & Joseph Romano & Azeem Shaikh & Daniel Wilhelm, 2022.
"Statistical Uncertainty in the Ranking of Journals and Universities,"
AEA Papers and Proceedings, American Economic Association, vol. 112, pages 630-634, May.
- Magne Mogstad & Joseph P. Romano & Azeem Shaikh & Daniel Wilhelm, 2022. "Statistical Uncertainty in the Ranking of Journals and Universities," NBER Working Papers 29768, National Bureau of Economic Research, Inc.
- Chetverikov, Denis & Wilhelm, Daniel & Kim, Dongwoo, 2021.
"An Adaptive Test Of Stochastic Monotonicity,"
Econometric Theory, Cambridge University Press, vol. 37(3), pages 495-536, June.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2020. "An Adaptive Test of Stochastic Monotonicity," CeMMAP working papers CWP17/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2018. "An adaptive test of stochastic monotonicity," CeMMAP working papers CWP24/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2019. "An adaptive test of stochastic monotonicity," CeMMAP working papers CWP49/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Young Jun Lee & Daniel Wilhelm, 2020.
"Testing for the presence of measurement error in Stata,"
Stata Journal, StataCorp LP, vol. 20(2), pages 382-404, June.
- Young Jun Lee & Daniel Wilhelm, 2019. "Testing for the presence of measurement error in Stata," CeMMAP working papers CWP47/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Young Jun Lee & Daniel Wilhelm, 2018. "Testing for the presence of measurement error in Stata," CeMMAP working papers CWP51/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2020.
"Optimal data collection for randomized control trials,"
The Econometrics Journal, Royal Economic Society, vol. 23(1), pages 1-31.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers 45/17, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2016. "Optimal data collection for randomized control trials," CeMMAP working papers 15/16, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2019. "Optimal Data Collection for Randomized Control Trials," CeMMAP working papers CWP21/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers 15/17, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers CWP15/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2016. "Optimal Data Collection for Randomized Control Trials," Papers 1603.03675, arXiv.org, revised Aug 2016.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2016. "Optimal data collection for randomized control trials," CeMMAP working papers CWP15/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers CWP45/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Carneiro, Pedro & Lee, Sokbae & Wilhelm, Daniel, 2016. "Optimal Data Collection for Randomized Control Trials," IZA Discussion Papers 9908, Institute of Labor Economics (IZA).
- Denis Chetverikov & Dongwoo Kim & Daniel Wilhelm, 2018.
"Nonparametric instrumental-variable estimation,"
Stata Journal, StataCorp LP, vol. 18(4), pages 937-950, December.
- Daniel Wilhelm & Denis Chetverikov & Dongwoo Kim, 2017. "Nonparametric instrumental variable estimation," CeMMAP working papers 47/17, Institute for Fiscal Studies.
- Daniel Wilhelm & Denis Chetverikov & Dongwoo Kim, 2017. "Nonparametric instrumental variable estimation," CeMMAP working papers CWP47/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Susanne M. Schennach & Daniel Wilhelm, 2017.
"A Simple Parametric Model Selection Test,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(520), pages 1663-1674, October.
- Susanne M. Schennach & Daniel Wilhelm, 2016. "A simple parametric model selection test," CeMMAP working papers 30/16, Institute for Fiscal Studies.
- Susanne M. Schennach & Daniel Wilhelm, 2014. "A simple parametric model selection test," CeMMAP working papers 10/14, Institute for Fiscal Studies.
- Susanne M. Schennach & Daniel Wilhelm, 2016. "A simple parametric model selection test," CeMMAP working papers CWP30/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Susanne M. Schennach & Daniel Wilhelm, 2014. "A simple parametric model selection test," CeMMAP working papers CWP10/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2017.
"Nonparametric Instrumental Variable Estimation Under Monotonicity,"
Econometrica, Econometric Society, vol. 85, pages 1303-1320, July.
- Denis Chetverikov & Daniel Wilhelm, 2017. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP14/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP39/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," Papers 1507.05270, arXiv.org.
- Denis Chetverikov & Daniel Wilhelm, 2016. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP48/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Wilhelm, Daniel, 2015.
"Optimal Bandwidth Selection For Robust Generalized Method Of Moments Estimation,"
Econometric Theory, Cambridge University Press, vol. 31(5), pages 1054-1077, October.
- Daniel Wilhelm, 2014. "Optimal bandwidth selection for robust generalized method of moments estimation," CeMMAP working papers CWP15/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
Software components
- Denis Chetverikov & Dongwoo Kim & Daniel Wilhelm, 2019. "NPIV: Stata module to perform Nonparametric instrumental-variable regression on a scalar endogenous regressor," Statistical Software Components S458626, Boston College Department of Economics.
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
- Magne Mogstad & Joseph P. Romano & Azeem Shaikh & Daniel Wilhelm, 2022.
"Statistical Uncertainty in the Ranking of Journals and Universities,"
NBER Working Papers
29768, National Bureau of Economic Research, Inc.
- Magne Mogstad & Joseph Romano & Azeem Shaikh & Daniel Wilhelm, 2022. "Statistical Uncertainty in the Ranking of Journals and Universities," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 630-634, May.
Cited by:
- Johannes Koenig & David I. Stern & Richard S.J. Tol, 2022.
"Confidence Intervals for Recursive Journal Impact Factors,"
Working Paper Series
0122, Department of Economics, University of Sussex Business School.
- Johannes König & David I. Stern & Richard S. J. Tol, 2022. "Confidence Intervals for Recursive Journal Impact Factors," CESifo Working Paper Series 9780, CESifo.
- Johannes Konig & David I. Stern & Richard S. J. Tol, 2022. "Confidence Intervals for Recursive Journal Impact Factors," Papers 2206.00004, arXiv.org.
- Johannes König & David I. Stern & Richard S.J. Tol, 2022. "Confidence Intervals for Recursive Journal Impact Factors," Tinbergen Institute Discussion Papers 22-038/III, Tinbergen Institute.
- Daniel Wilhelm & Magne Mogstad & Azeem Shaikh, 2021.
"Finite- and Large-Sample Inference for Ranks using Multinomial Data with an Application to Ranking Political Parties,"
RF Berlin - CReAM Discussion Paper Series
2132, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
- Sergei Bazylik & Magne Mogstad & Joseph P. Romano & Azeem Shaikh & Daniel Wilhelm, 2021. "Finite- and Large-Sample Inference for Ranks using Multinomial Data with an Application to Ranking Political Parties," NBER Working Papers 29519, National Bureau of Economic Research, Inc.
- Sergei Bazylik & Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2021. "Finite- and large-sample inference for ranks using multinomial data with an application to ranking political parties," CeMMAP working papers CWP40/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sergei Bazylik & Magne Mogstad & Joseph Romano & Azeem Shaikh & Daniel Wilhelm, 2024. "Finite- and Large-Sample Inference for Ranks using Multinomial Data with an Application to Ranking Political Parties," Papers 2402.00192, arXiv.org.
Cited by:
- Denis Chetverikov & Magne Mogstad & Pawel Morgen & Joseph Romano & Azeem Shaikh & Daniel Wilhelm, 2024. "csranks: An R Package for Estimation and Inference Involving Ranks," Papers 2401.15205, arXiv.org.
- Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2023. "A Comment on: “Invidious Comparisons: Ranking and Selection as Compound Decisions” by Jiaying Gu and Roger Koenker," Econometrica, Econometric Society, vol. 91(1), pages 53-60, January.
- Lihua Lei, 2024. "Causal Interpretation of Regressions With Ranks," Papers 2406.05548, arXiv.org.
- Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2020.
"Inference for Ranks with Applications to Mobility across Neighborhoods and Academic Achievement across Countries,"
Working Papers
2020-16, Becker Friedman Institute for Research In Economics.
- Magne Mogstad & Joseph P Romano & Azeem M Shaikh & Daniel Wilhelm, 2024. "Inference for Ranks with Applications to Mobility across Neighbourhoods and Academic Achievement across Countries," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(1), pages 476-518.
- Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2023. "Inference for ranks with applications to mobility across neighborhoods and academic achievement across countries," CeMMAP working papers 03/23, Institute for Fiscal Studies.
- Magne Mogstad & Joseph P. Romano & Daniel Wilhelm & Azeem M. Shaikh, 2020. "Inference for ranks with applications to mobility across neighborhoods and academic achievement across countries," CeMMAP working papers CWP10/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2021. "Inference for ranks with applications to mobility across neighborhoods and academic achievement across countries," CeMMAP working papers CWP17/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2020. "Inference for Ranks with Applications to Mobility across Neighborhoods and Academic Achievement across Countries," RF Berlin - CReAM Discussion Paper Series 2008, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
- Magne Mogstad & Joseph P. Romano & Azeem Shaikh & Daniel Wilhelm, 2020. "Inference for Ranks with Applications to Mobility across Neighborhoods and Academic Achievement across Countries," NBER Working Papers 26883, National Bureau of Economic Research, Inc.
Cited by:
- Steven N. Durlauf & Andros Kourtellos & Chih Ming Tan, 2022.
"The Great Gatsby Curve,"
NBER Working Papers
29761, National Bureau of Economic Research, Inc.
- Andros Kourtellos & Chih Ming Tan & Steven N. Durlauf, 2022. "The Great Gatsby Curve," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 571-605, August.
- Durlauf, Steven N. & Kourtellos, Andros & Tan, Chih Ming, 2021. "The Great Gatsby Curve," SocArXiv mrw9y, Center for Open Science.
- Jiaying Gu & Roger Koenker, 2021. "Ranking and Selection from Pairwise Comparisons: Empirical Bayes Methods for Citation Analysis," Papers 2112.11064, arXiv.org.
- Will Davis & Alexander Gordan & Rusty Tchernis, 2021.
"Measuring the spatial distribution of health rankings in the United States,"
Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2921-2936, November.
- Will Davis & Alexander D. Gordan & Rusty Tchernis, 2020. "Measuring the Spatial Distribution of Health Rankings in the United States," NBER Working Papers 27259, National Bureau of Economic Research, Inc.
- Majed Dodin & Sebastian Findeisen & Lukas Henkel & Dominik Sachs & Paul Schüle, 2021.
"Social Mobility in Germany,"
CESifo Working Paper Series
9200, CESifo.
- Dodin, Majed & Findeisen, Sebastian & Henkel, Lukas & Sachs, Dominik & Schüle, Paul, 2024. "Social mobility in Germany," Journal of Public Economics, Elsevier, vol. 232(C).
- Dodin, Majed & Findeisen, Sebastian & Henkel, Lukas & Sachs, Dominik & Schüle, Paul, 2021. "Social Mobility in Germany," Working Papers 04, University of Konstanz, Cluster of Excellence "The Politics of Inequality. Perceptions, Participation and Policies".
- Dodin, Majed & Findeisen, Sebastian & Henkel, Lukas & Sachs, Dominik & Schüle, Paul, 2021. "Social Mobility in Germany," Rationality and Competition Discussion Paper Series 298, CRC TRR 190 Rationality and Competition.
- Majed Dodin & Sebastian Findeisen & Lukas Henkel & Dominik Sachs & Paul Schüle, 2021. "Social Mobility in Germany," Working Paper Series of the Department of Economics, University of Konstanz 2021-01, Department of Economics, University of Konstanz.
- Findeisen, Sebastian & Sachs, Dominik & Schüle, Paul & Henkel, Lukas & Dodin, Majed, 2021. "Social Mobility in Germany," CEPR Discussion Papers 16355, C.E.P.R. Discussion Papers.
- Jiaying Gu & Roger Koenker, 2023. "Reply to: Comments on “Invidious Comparisons: Ranking and Selection as Compound Decisions”," Econometrica, Econometric Society, vol. 91(1), pages 61-66, January.
- Dionissi Aliprantis & Hal Martin & Kristen Tauber, 2020.
"What Determines the Success of Housing Mobility Programs?,"
Working Papers
20-36R, Federal Reserve Bank of Cleveland, revised 19 Oct 2022.
- Dionissi Aliprantis & Kristen Tauber & Hal Martin, 2022. "What Determines the Success of Housing Mobility Programs?," Working Papers 2022-043, Human Capital and Economic Opportunity Working Group.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2018.
"Inference on winners,"
CeMMAP working papers
CWP73/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2019. "Inference on Winners," NBER Working Papers 25456, National Bureau of Economic Research, Inc.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2024. "Inference on Winners," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(1), pages 305-358.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2020. "Inference on winners," CeMMAP working papers CWP43/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2018. "Inference on winners," CeMMAP working papers CWP31/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- David M. Kaplan, 2024.
"Inference on Consensus Ranking of Distributions,"
Papers
2408.13949, arXiv.org.
- David M. Kaplan, 2020. "Inference on Consensus Ranking of Distributions," Working Papers 2010, Department of Economics, University of Missouri.
- David M. Kaplan, 2022. "Inference on Consensus Ranking of Distributions," Working Papers 2205, Department of Economics, University of Missouri.
- David M. Kaplan, 2024. "Inference on Consensus Ranking of Distributions," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(3), pages 839-850, July.
- Sergei Bazylik & Magne Mogstad & Joseph Romano & Azeem Shaikh & Daniel Wilhelm, 2024.
"Finite- and Large-Sample Inference for Ranks using Multinomial Data with an Application to Ranking Political Parties,"
Papers
2402.00192, arXiv.org.
- Sergei Bazylik & Magne Mogstad & Joseph P. Romano & Azeem Shaikh & Daniel Wilhelm, 2021. "Finite- and Large-Sample Inference for Ranks using Multinomial Data with an Application to Ranking Political Parties," NBER Working Papers 29519, National Bureau of Economic Research, Inc.
- Sergei Bazylik & Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2021. "Finite- and large-sample inference for ranks using multinomial data with an application to ranking political parties," CeMMAP working papers CWP40/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm & Magne Mogstad & Azeem Shaikh, 2021. "Finite- and Large-Sample Inference for Ranks using Multinomial Data with an Application to Ranking Political Parties," RF Berlin - CReAM Discussion Paper Series 2132, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
- Gordon H. Hanson & Chen Liu, 2021.
"Immigration and Occupational Comparative Advantage,"
NBER Working Papers
29418, National Bureau of Economic Research, Inc.
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- Heckman, James & Landersø, Rasmus, 2022. "Lessons for Americans from Denmark about inequality and social mobility," Labour Economics, Elsevier, vol. 77(C).
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"Confidence Intervals for Recursive Journal Impact Factors,"
Working Paper Series
0122, Department of Economics, University of Sussex Business School.
- Johannes König & David I. Stern & Richard S. J. Tol, 2022. "Confidence Intervals for Recursive Journal Impact Factors," CESifo Working Paper Series 9780, CESifo.
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"Spatial Economics for Granular Settings,"
CEPR Discussion Papers
14819, C.E.P.R. Discussion Papers.
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"Intergenerational Mobility in Africa,"
Econometrica, Econometric Society, vol. 89(1), pages 1-35, January.
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"Lessons from Denmark about Inequality and Social Mobility,"
NBER Working Papers
28543, National Bureau of Economic Research, Inc.
- James J. Heckman & Rasmus Landersø, 2021. "Lessons from Denmark about Inequality and Social Mobility," Working Papers 2021-006, Human Capital and Economic Opportunity Working Group.
- Heckman, James J. & Landersø, Rasmus, 2021. "Lessons from Denmark about Inequality and Social Mobility," IZA Discussion Papers 14185, Institute of Labor Economics (IZA).
- Cody Cook & Pearl Z. Li & Ariel J. Binder, 2023. "Where to Build Affordable Housing? Evaluating the Tradeoffs of Location," Working Papers 23-62, Center for Economic Studies, U.S. Census Bureau.
- Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2023. "A Comment on: “Invidious Comparisons: Ranking and Selection as Compound Decisions” by Jiaying Gu and Roger Koenker," Econometrica, Econometric Society, vol. 91(1), pages 53-60, January.
- Dillon Bowen, 2022. "Simple models predict behavior at least as well as behavioral scientists," Papers 2208.01167, arXiv.org.
- Fabian Eckert & Tatjana Kleineberg, 2021.
"Saving the American Dream? Education Policies in Spatial General Equilibrium,"
Opportunity and Inclusive Growth Institute Working Papers
47, Federal Reserve Bank of Minneapolis.
- Eckert,Fabian & Kleineberg,Tatjana Karina, 2021. "Saving the American Dream ? Education Policies in Spatial General Equilibrium," Policy Research Working Paper Series 9574, The World Bank.
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- Jiaying Gu & Roger Koenker, 2020. "Invidious Comparisons: Ranking and Selection as Compound Decisions," Papers 2012.12550, arXiv.org, revised Sep 2021.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2020.
"An Adaptive Test of Stochastic Monotonicity,"
CeMMAP working papers
CWP17/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chetverikov, Denis & Wilhelm, Daniel & Kim, Dongwoo, 2021. "An Adaptive Test Of Stochastic Monotonicity," Econometric Theory, Cambridge University Press, vol. 37(3), pages 495-536, June.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2018. "An adaptive test of stochastic monotonicity," CeMMAP working papers CWP24/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2019. "An adaptive test of stochastic monotonicity," CeMMAP working papers CWP49/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
Cited by:
- Daniel Wilhelm & Denis Chetverikov & Dongwoo Kim, 2017.
"Nonparametric instrumental variable estimation,"
CeMMAP working papers
CWP47/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Dongwoo Kim & Daniel Wilhelm, 2018. "Nonparametric instrumental-variable estimation," Stata Journal, StataCorp LP, vol. 18(4), pages 937-950, December.
- Daniel Wilhelm & Denis Chetverikov & Dongwoo Kim, 2017. "Nonparametric instrumental variable estimation," CeMMAP working papers 47/17, Institute for Fiscal Studies.
- Daniel Wilhelm, 2019.
"Testing for the presence of measurement error,"
CeMMAP working papers
CWP48/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm, 2018. "Testing for the presence of measurement error," CeMMAP working papers CWP45/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm, 2019. "Testing for the Presence of Measurement Error," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-18, Economic Statistics Centre of Excellence (ESCoE).
- Henry, Marc & Méango, Romuald & Mourifié, Ismaël, 2024. "Role models and revealed gender-specific costs of STEM in an extended Roy model of major choice," Journal of Econometrics, Elsevier, vol. 238(2).
- Victor Chernozhukov & Denis Chetverikov & Kengo Kato & Yuta Koike, 2019. "Improved Central Limit Theorem and bootstrap approximations in high dimensions," Papers 1912.10529, arXiv.org, revised May 2022.
- Young Jun Lee & Daniel Wilhelm, 2019.
"Testing for the presence of measurement error in Stata,"
CeMMAP working papers
CWP47/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Young Jun Lee & Daniel Wilhelm, 2020. "Testing for the presence of measurement error in Stata," Stata Journal, StataCorp LP, vol. 20(2), pages 382-404, June.
- Young Jun Lee & Daniel Wilhelm, 2018. "Testing for the presence of measurement error in Stata," CeMMAP working papers CWP51/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
Cited by:
- Ekaterina Oparina & Sorawoot Srisuma, 2022.
"Analyzing Subjective Well-Being Data with Misclassification,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 730-743, April.
- Ekaterina Oparina & Sorawoot Srisuma, 2019. "Analyzing Subjective Well-Being Data with Misclassification," Papers 1905.06037, arXiv.org.
- Oparina, Ekaterina & Srisuma, Sorawoot, 2022. "Analyzing subjective well-being data with misclassification," LSE Research Online Documents on Economics 108543, London School of Economics and Political Science, LSE Library.
- Dongwoo Kim & Daniel Wilhelm, 2017.
"Powerful t-Tests in the presence of nonclassical measurement error,"
CeMMAP working papers
CWP57/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Dongwoo Kim & Daniel Wilhelm, 2023. "Powerful t-tests in the presence of nonclassical measurement error," IFS Working Papers WCWP22/23, Institute for Fiscal Studies.
- Dongwoo Kim & Daniel Wilhelm, 2017. "Powerful t-Tests in the presence of nonclassical measurement error," CeMMAP working papers 57/17, Institute for Fiscal Studies.
- Dongwoo Kim & Daniel Wilhelm, 2023. "Powerful t-tests in the presence of nonclassical measurement error," CeMMAP working papers 22/23, Institute for Fiscal Studies.
- Dongwoo Kim & Daniel Wilhelm, 2021. "Powerful t-tests in the presence of nonclassical measurement error," CeMMAP working papers CWP18/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Dongwoo Kim & Daniel Wilhelm, 2024. "Powerful t-tests in the presence of nonclassical measurement error," Econometric Reviews, Taylor & Francis Journals, vol. 43(6), pages 345-378, July.
- Wossen, Tesfamicheal & Spielman, David J. & Alene, Arega D. & Abdoulaye, Tahirou, 2024. "Estimating seed demand in the presence of market frictions: Evidence from an auction experiment in Nigeria," Journal of Development Economics, Elsevier, vol. 167(C).
- Crossley, Thomas F. & Fisher, Paul & Hussein, Omar, 2023. "Assessing data from summary questions about earnings and income," Labour Economics, Elsevier, vol. 81(C).
- Wossen, Tesfamicheal & Abay, Kibrom A. & Abdoulaye, Tahirou, 2022. "Misperceiving and misreporting input quality: Implications for input use and productivity," Journal of Development Economics, Elsevier, vol. 157(C).
- Daniel Wilhelm, 2018.
"Testing for the presence of measurement error,"
CeMMAP working papers
CWP45/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm, 2019. "Testing for the Presence of Measurement Error," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-18, Economic Statistics Centre of Excellence (ESCoE).
- Daniel Wilhelm, 2019. "Testing for the presence of measurement error," CeMMAP working papers CWP48/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
Cited by:
- Ekaterina Oparina & Sorawoot Srisuma, 2022.
"Analyzing Subjective Well-Being Data with Misclassification,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 730-743, April.
- Ekaterina Oparina & Sorawoot Srisuma, 2019. "Analyzing Subjective Well-Being Data with Misclassification," Papers 1905.06037, arXiv.org.
- Oparina, Ekaterina & Srisuma, Sorawoot, 2022. "Analyzing subjective well-being data with misclassification," LSE Research Online Documents on Economics 108543, London School of Economics and Political Science, LSE Library.
- Dongwoo Kim & Daniel Wilhelm, 2017.
"Powerful t-Tests in the presence of nonclassical measurement error,"
CeMMAP working papers
CWP57/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Dongwoo Kim & Daniel Wilhelm, 2023. "Powerful t-tests in the presence of nonclassical measurement error," IFS Working Papers WCWP22/23, Institute for Fiscal Studies.
- Dongwoo Kim & Daniel Wilhelm, 2017. "Powerful t-Tests in the presence of nonclassical measurement error," CeMMAP working papers 57/17, Institute for Fiscal Studies.
- Dongwoo Kim & Daniel Wilhelm, 2023. "Powerful t-tests in the presence of nonclassical measurement error," CeMMAP working papers 22/23, Institute for Fiscal Studies.
- Dongwoo Kim & Daniel Wilhelm, 2021. "Powerful t-tests in the presence of nonclassical measurement error," CeMMAP working papers CWP18/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Dongwoo Kim & Daniel Wilhelm, 2024. "Powerful t-tests in the presence of nonclassical measurement error," Econometric Reviews, Taylor & Francis Journals, vol. 43(6), pages 345-378, July.
- Michele Lalla & Maddalena Cavicchioli, 2020. "Nonresponse and measurement errors in income: matching individual survey data with administrative tax data," Department of Economics 0170, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
- Chetverikov, Denis & Wilhelm, Daniel & Kim, Dongwoo, 2021.
"An Adaptive Test Of Stochastic Monotonicity,"
Econometric Theory, Cambridge University Press, vol. 37(3), pages 495-536, June.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2018. "An adaptive test of stochastic monotonicity," CeMMAP working papers CWP24/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2020. "An Adaptive Test of Stochastic Monotonicity," CeMMAP working papers CWP17/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2019. "An adaptive test of stochastic monotonicity," CeMMAP working papers CWP49/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Crossley, Thomas F. & Fisher, Paul & Hussein, Omar, 2023. "Assessing data from summary questions about earnings and income," Labour Economics, Elsevier, vol. 81(C).
- Andrei Zeleneev & Kirill Evdokimov, 2023. "Simple estimation of semiparametric models with measurement errors," CeMMAP working papers 10/23, Institute for Fiscal Studies.
- Kirill S. Evdokimov & Andrei Zeleneev, 2023. "Simple Estimation of Semiparametric Models with Measurement Errors," Papers 2306.14311, arXiv.org, revised Mar 2024.
- Se-il MUN & Lei QIN & Yue ZHOU, 2023. "The Effects of Mass Transit System on Urban Population Distribution:Evidence from Wuhan," Discussion papers e-23-003, Graduate School of Economics , Kyoto University.
- Paul Fisher & Omar Hussein, 2023. "Understanding Society: the income data," Fiscal Studies, John Wiley & Sons, vol. 44(4), pages 377-397, December.
- Maddalena Cavicchioli & Michele Lalla, 2022. "Evidences from survey data and fiscal data: nonresponse and measurement errors in annual incomes," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(3), pages 587-615, September.
- Wossen, Tesfamicheal & Abay, Kibrom A. & Abdoulaye, Tahirou, 2022. "Misperceiving and misreporting input quality: Implications for input use and productivity," Journal of Development Economics, Elsevier, vol. 157(C).
- Daniel Wilhelm & Denis Chetverikov & Dongwoo Kim, 2017.
"Nonparametric instrumental variable estimation,"
CeMMAP working papers
CWP47/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Dongwoo Kim & Daniel Wilhelm, 2018. "Nonparametric instrumental-variable estimation," Stata Journal, StataCorp LP, vol. 18(4), pages 937-950, December.
- Daniel Wilhelm & Denis Chetverikov & Dongwoo Kim, 2017. "Nonparametric instrumental variable estimation," CeMMAP working papers 47/17, Institute for Fiscal Studies.
Cited by:
- Daniel Wilhelm & Denis Chetverikov & Dongwoo Kim, 2017.
"Nonparametric instrumental variable estimation,"
CeMMAP working papers
CWP47/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Dongwoo Kim & Daniel Wilhelm, 2018. "Nonparametric instrumental-variable estimation," Stata Journal, StataCorp LP, vol. 18(4), pages 937-950, December.
- Daniel Wilhelm & Denis Chetverikov & Dongwoo Kim, 2017. "Nonparametric instrumental variable estimation," CeMMAP working papers 47/17, Institute for Fiscal Studies.
- Qingliang Fan & Zijian Guo & Ziwei Mei & Cun-Hui Zhang, 2023. "Inference for Nonlinear Endogenous Treatment Effects Accounting for High-Dimensional Covariate Complexity," Papers 2310.08063, arXiv.org, revised Jun 2024.
- Yu Zhu, 2020. "Inference in nonparametric/semiparametric moment equality models with shape restrictions," Quantitative Economics, Econometric Society, vol. 11(2), pages 609-636, May.
- Young Jun Lee & Daniel Wilhelm, 2020.
"Testing for the presence of measurement error in Stata,"
Stata Journal, StataCorp LP, vol. 20(2), pages 382-404, June.
- Young Jun Lee & Daniel Wilhelm, 2019. "Testing for the presence of measurement error in Stata," CeMMAP working papers CWP47/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Young Jun Lee & Daniel Wilhelm, 2018. "Testing for the presence of measurement error in Stata," CeMMAP working papers CWP51/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Juan Carlos Escanciano & Wei Li, 2018.
"Optimal Linear Instrumental Variables Approximations,"
Papers
1805.03275, arXiv.org, revised Feb 2020.
- Escanciano, Juan Carlos & Li, Wei, 2021. "Optimal Linear Instrumental Variables Approximations," Journal of Econometrics, Elsevier, vol. 221(1), pages 223-246.
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"Recovering Latent Variables by Matching,"
Working Papers
wp2019_1914, CEMFI.
- Manuel Arellano & Stéphane Bonhomme, 2020. "Recovering Latent Variables by Matching," CeMMAP working papers CWP2/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Manuel Arellano & Stephane Bonhomme, 2019. "Recovering Latent Variables by Matching," Papers 1912.13081, arXiv.org.
- Manuel Arellano & Stéphane Bonhomme, 2023. "Recovering Latent Variables by Matching," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 118(541), pages 693-706, January.
- Daniel Wilhelm, 2019.
"Testing for the presence of measurement error,"
CeMMAP working papers
CWP48/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm, 2018. "Testing for the presence of measurement error," CeMMAP working papers CWP45/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm, 2019. "Testing for the Presence of Measurement Error," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-18, Economic Statistics Centre of Excellence (ESCoE).
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2015.
"Constrained conditional moment restriction models,"
CeMMAP working papers
59/15, Institute for Fiscal Studies.
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2015. "Constrained conditional moment restriction models," CeMMAP working papers CWP59/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2023. "Constrained Conditional Moment Restriction Models," Econometrica, Econometric Society, vol. 91(2), pages 709-736, March.
- Jad Beyhum & Elia Lapenta & Pascal Lavergne, 2023. "One-step smoothing splines instrumental regression," Papers 2307.14867, arXiv.org, revised Apr 2024.
- Chetverikov, Denis & Wilhelm, Daniel & Kim, Dongwoo, 2021.
"An Adaptive Test Of Stochastic Monotonicity,"
Econometric Theory, Cambridge University Press, vol. 37(3), pages 495-536, June.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2018. "An adaptive test of stochastic monotonicity," CeMMAP working papers CWP24/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2020. "An Adaptive Test of Stochastic Monotonicity," CeMMAP working papers CWP17/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2019. "An adaptive test of stochastic monotonicity," CeMMAP working papers CWP49/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Nishanth Dikkala & Greg Lewis & Lester Mackey & Vasilis Syrgkanis, 2020. "Minimax Estimation of Conditional Moment Models," Papers 2006.07201, arXiv.org.
- Christoph Breunig, 2019. "Specification Testing in Nonparametric Instrumental Quantile Regression," Papers 1909.10129, arXiv.org.
- Christoph Breunig & Xiaohong Chen, 2020. "Adaptive, Rate-Optimal Hypothesis Testing in Nonparametric IV Models," Cowles Foundation Discussion Papers 2238R, Cowles Foundation for Research in Economics, Yale University, revised Dec 2021.
- Beyhum, Jad & Lapenta, Elia & Lavergne, Pascal, 2023. "One-step nonparametric instrumental regression using smoothing splines," TSE Working Papers 23-1467, Toulouse School of Economics (TSE).
- Pengzhou Wu & Kenji Fukumizu, 2021. "$\beta$-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap," Papers 2110.05225, arXiv.org.
- Christoph Breunig & Xiaohong Chen, 2020. "Adaptive, Rate-Optimal Hypothesis Testing in Nonparametric IV Models," Papers 2006.09587, arXiv.org, revised Nov 2024.
- Kohtaro Hitomi & Masamune Iwasawa & Yoshihiko Nishiyama, 2018. "Rate Optimal Specification Test When the Number of Instruments is Large," KIER Working Papers 986, Kyoto University, Institute of Economic Research.
- Zheng Fang & Juwon Seo, 2019. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones," Papers 1910.07689, arXiv.org, revised Sep 2021.
- Anupriya, & Graham, Daniel J. & Bansal, Prateek & Hörcher, Daniel & Anderson, Richard, 2023. "Optimal congestion control strategies for near-capacity urban metros: Informing intervention via fundamental diagrams," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
- Anupriya, & Bansal, Prateek & Graham, Daniel J., 2023. "Congestion in cities: Can road capacity expansions provide a solution?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
- Giovanni Compiani, 2022. "Market counterfactuals and the specification of multiproduct demand: A nonparametric approach," Quantitative Economics, Econometric Society, vol. 13(2), pages 545-591, May.
- Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2016.
"Optimal Data Collection for Randomized Control Trials,"
Papers
1603.03675, arXiv.org, revised Aug 2016.
- Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2020. "Optimal data collection for randomized control trials," The Econometrics Journal, Royal Economic Society, vol. 23(1), pages 1-31.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers 45/17, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2016. "Optimal data collection for randomized control trials," CeMMAP working papers 15/16, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2019. "Optimal Data Collection for Randomized Control Trials," CeMMAP working papers CWP21/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers 15/17, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers CWP15/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2016. "Optimal data collection for randomized control trials," CeMMAP working papers CWP15/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers CWP45/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Carneiro, Pedro & Lee, Sokbae & Wilhelm, Daniel, 2016. "Optimal Data Collection for Randomized Control Trials," IZA Discussion Papers 9908, Institute of Labor Economics (IZA).
Cited by:
- Karthik Muralidharan & Mauricio Romero & Kaspar Wüthrich, 2020.
"Factorial Designs, Model Selection, and (Incorrect) Inference in Randomized Experiments,"
CESifo Working Paper Series
8137, CESifo.
- Karthik Muralidharan & Mauricio Romero & Kaspar Wüthrich, 2019. "Factorial Designs, Model Selection, and (Incorrect) Inference in Randomized Experiments," NBER Working Papers 26562, National Bureau of Economic Research, Inc.
- Max Tabord-Meehan, 2023.
"Stratification Trees for Adaptive Randomisation in Randomised Controlled Trials,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2646-2673.
- Max Tabord-Meehan, 2018. "Stratification Trees for Adaptive Randomization in Randomized Controlled Trials," Papers 1806.05127, arXiv.org, revised Jul 2022.
- Eszter Czibor & David Jimenez-Gomez & John A. List, 2019.
"The Dozen Things Experimental Economists Should Do (More of),"
NBER Working Papers
25451, National Bureau of Economic Research, Inc.
- Eszter Czibor & David Jimenez‐Gomez & John A. List, 2019. "The Dozen Things Experimental Economists Should Do (More of)," Southern Economic Journal, John Wiley & Sons, vol. 86(2), pages 371-432, October.
- Eszter Czibor & David Jimenez-Gomez & John List, 2019. "The Dozen Things Experimental Economists Should Do (More of)," Artefactual Field Experiments 00648, The Field Experiments Website.
- 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.
- 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.
- Prakash, Shivendra & Markfort, Corey D., 2022. "A Monte-Carlo based 3-D ballistics model for guiding bat carcass surveys using environmental and turbine operational data," Ecological Modelling, Elsevier, vol. 470(C).
- Pons Rotger, Gabriel & Rosholm, Michael, 2020. "The Role of Beliefs in Long Sickness Absence: Experimental Evidence from a Psychological Intervention," IZA Discussion Papers 13582, Institute of Labor Economics (IZA).
- Aufenanger, Tobias, 2018. "Treatment allocation for linear models," FAU Discussion Papers in Economics 14/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, revised 2018.
- Federico M Bandi & Valentina Corradi & Daniel Wilhelm, 2016.
"Possibly Nonstationary Cross-Validation,"
CeMMAP working papers
CWP11/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
Cited by:
- Scholz, Michael & Sperlich, Stefan & Nielsen, Jens Perch, 2016. "Nonparametric long term prediction of stock returns with generated bond yields," Insurance: Mathematics and Economics, Elsevier, vol. 69(C), pages 82-96.
- Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2021. "Forecasting benchmarks of long-term stock returns via machine learning," Annals of Operations Research, Springer, vol. 297(1), pages 221-240, February.
- Daniel Wilhelm, 2015.
"Identification and estimation of nonparametric panel data regressions with measurement error,"
CeMMAP working papers
CWP34/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
Cited by:
- Susanne M. Schennach, 2012.
"Measurement error in nonlinear models - a review,"
CeMMAP working papers
41/12, Institute for Fiscal Studies.
- Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers CWP41/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Davide Melcangi & Silvia Sarpietro, 2024. "Nonlinear Firm Dynamics," Staff Reports 1088, Federal Reserve Bank of New York.
- Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023.
"Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares,"
Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.
- Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Identification of Time-Varying Transformation Models with Fixed Effects, with an Application to Unobserved Heterogeneity in Resource Shares," Papers 2008.05507, arXiv.org, revised Apr 2021.
- Manuel Arellano & Richard Blundell & Stéphane Bonhomme & Jack Light, 2024.
"Heterogeneity of consumption responses to income shocks in the presence of nonlinear persistence,"
Post-Print
hal-04536563, HAL.
- Arellano, Manuel & Blundell, Richard & Bonhomme, Stéphane & Light, Jack, 2023. "Heterogeneity of Consumption Responses to Income Shocks in the Presence of Nonlinear Persistence," TSE Working Papers 23-1435, Toulouse School of Economics (TSE).
- Manuel Arellano & Richard Blundell & Stéphane Bonhomme & Jack Light, 2023. "Heterogeneity of consumption responses to income shocks in the presence of nonlinear persistence," CeMMAP working papers 07/23, Institute for Fiscal Studies.
- Arellano, Manuel & Blundell, Richard & Bonhomme, Stéphane & Light, Jack, 2024. "Heterogeneity of consumption responses to income shocks in the presence of nonlinear persistence," Journal of Econometrics, Elsevier, vol. 240(2).
- Manuel Arellano & Richard Blundell & Stéphane Bonhomme & Jack Light, 2023. "Heterogeneity of Consumption Responses to Income Shocks in the Presence of Nonlinear Persistence," Working Papers wp2023_2301, CEMFI.
- Manuel Arellano & Stéphane Bonhomme, 2016.
"Nonlinear panel data methods for dynamic heterogeneous agent models,"
CeMMAP working papers
51/16, Institute for Fiscal Studies.
- Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data methods for dynamic heterogeneous agent models," CeMMAP working papers CWP51/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Manuel Arellano & Stéphane Bonhomme, 2017. "Nonlinear Panel Data Methods for Dynamic Heterogeneous Agent Models," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 471-496, September.
- Manuel Arellano & Stéphane Bonhomme, 2017. "Nonlinear Panel Data Methods for Dynamic Heterogeneous Agent Models," Working Papers wp2017_1703, CEMFI.
- Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear Panel Data Methods for Dynamic Heterogeneous Agent Models," Working Papers wp2016_1607, CEMFI.
- Young Jun Lee & Daniel Wilhelm, 2020.
"Testing for the presence of measurement error in Stata,"
Stata Journal, StataCorp LP, vol. 20(2), pages 382-404, June.
- Young Jun Lee & Daniel Wilhelm, 2019. "Testing for the presence of measurement error in Stata," CeMMAP working papers CWP47/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Young Jun Lee & Daniel Wilhelm, 2018. "Testing for the presence of measurement error in Stata," CeMMAP working papers CWP51/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm, 2019.
"Testing for the presence of measurement error,"
CeMMAP working papers
CWP48/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm, 2018. "Testing for the presence of measurement error," CeMMAP working papers CWP45/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm, 2019. "Testing for the Presence of Measurement Error," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-18, Economic Statistics Centre of Excellence (ESCoE).
- Susanne M. Schennach, 2013.
"Convolution without independence,"
CeMMAP working papers
CWP46/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Schennach, Susanne M., 2019. "Convolution without independence," Journal of Econometrics, Elsevier, vol. 211(1), pages 308-318.
- Susanne M. Schennach, 2013. "Convolution without independence," CeMMAP working papers 46/13, Institute for Fiscal Studies.
- Botosaru, Irene, 2023. "Time-varying unobserved heterogeneity in earnings shocks," Journal of Econometrics, Elsevier, vol. 235(2), pages 1378-1393.
- Oliver Linton & Ji-Liang Shiu, 2018.
"Semiparametric nonlinear panel data models with measurement error,"
CeMMAP working papers
CWP09/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Linton, O. & Shiu, J-L., 2019. "Semiparametric Nonlinear Panel Data Models with Measurement Error," Cambridge Working Papers in Economics 1906, Faculty of Economics, University of Cambridge.
- Andrews, Donald W.K., 2017.
"Examples of L2-complete and boundedly-complete distributions,"
Journal of Econometrics, Elsevier, vol. 199(2), pages 213-220.
- Donald W.K. Andrews, 2011. "Examples of L^2-Complete and Boundedly-Complete Distributions," Cowles Foundation Discussion Papers 1801, Cowles Foundation for Research in Economics, Yale University.
- Gagliardini, Patrick & Gouriéroux, Christian, 2019. "Identification by Laplace transforms in nonlinear time series and panel models with unobserved stochastic dynamic effects," Journal of Econometrics, Elsevier, vol. 208(2), pages 613-637.
- Hu, Yingyao, 2017. "The Econometrics of Unobservables -- Latent Variable and Measurement Error Models and Their Applications in Empirical Industrial Organization and Labor Economics [The Econometrics of Unobservables]," Economics Working Paper Archive 64578, The Johns Hopkins University,Department of Economics, revised 2021.
- Yingyao Hu, 2015. "Microeconomic models with latent variables: applications of measurement error models in empirical industrial organization and labor economics," CeMMAP working papers CWP03/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Susanne M. Schennach, 2012.
"Measurement error in nonlinear models - a review,"
CeMMAP working papers
41/12, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2015.
"Nonparametric instrumental variable estimation under monotonicity,"
Papers
1507.05270, arXiv.org.
- Denis Chetverikov & Daniel Wilhelm, 2017. "Nonparametric Instrumental Variable Estimation Under Monotonicity," Econometrica, Econometric Society, vol. 85, pages 1303-1320, July.
- Denis Chetverikov & Daniel Wilhelm, 2017. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP14/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP39/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2016. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP48/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
Cited by:
- Daniel Wilhelm & Denis Chetverikov & Dongwoo Kim, 2017.
"Nonparametric instrumental variable estimation,"
CeMMAP working papers
CWP47/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Dongwoo Kim & Daniel Wilhelm, 2018. "Nonparametric instrumental-variable estimation," Stata Journal, StataCorp LP, vol. 18(4), pages 937-950, December.
- Daniel Wilhelm & Denis Chetverikov & Dongwoo Kim, 2017. "Nonparametric instrumental variable estimation," CeMMAP working papers 47/17, Institute for Fiscal Studies.
- Qingliang Fan & Zijian Guo & Ziwei Mei & Cun-Hui Zhang, 2023. "Inference for Nonlinear Endogenous Treatment Effects Accounting for High-Dimensional Covariate Complexity," Papers 2310.08063, arXiv.org, revised Jun 2024.
- Yu Zhu, 2020. "Inference in nonparametric/semiparametric moment equality models with shape restrictions," Quantitative Economics, Econometric Society, vol. 11(2), pages 609-636, May.
- Xiaohong Chen & Yin Jia Jeff Qiu, 2016.
"Methods for Nonparametric and Semiparametric Regressions with Endogeneity: A Gentle Guide,"
Annual Review of Economics, Annual Reviews, vol. 8(1), pages 259-290, October.
- Xiaohong Chen & Yin Jia Qiu, 2016. "Methods for Nonparametric and Semiparametric Regressions with Endogeneity: a Gentle Guide," Cowles Foundation Discussion Papers 2032, Cowles Foundation for Research in Economics, Yale University.
- Young Jun Lee & Daniel Wilhelm, 2020.
"Testing for the presence of measurement error in Stata,"
Stata Journal, StataCorp LP, vol. 20(2), pages 382-404, June.
- Young Jun Lee & Daniel Wilhelm, 2019. "Testing for the presence of measurement error in Stata," CeMMAP working papers CWP47/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Young Jun Lee & Daniel Wilhelm, 2018. "Testing for the presence of measurement error in Stata," CeMMAP working papers CWP51/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Juan Carlos Escanciano & Wei Li, 2018.
"Optimal Linear Instrumental Variables Approximations,"
Papers
1805.03275, arXiv.org, revised Feb 2020.
- Escanciano, Juan Carlos & Li, Wei, 2021. "Optimal Linear Instrumental Variables Approximations," Journal of Econometrics, Elsevier, vol. 221(1), pages 223-246.
- Manuel Arellano & Stéphane Bonhomme, 2019.
"Recovering Latent Variables by Matching,"
Working Papers
wp2019_1914, CEMFI.
- Manuel Arellano & Stéphane Bonhomme, 2020. "Recovering Latent Variables by Matching," CeMMAP working papers CWP2/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Manuel Arellano & Stephane Bonhomme, 2019. "Recovering Latent Variables by Matching," Papers 1912.13081, arXiv.org.
- Manuel Arellano & Stéphane Bonhomme, 2023. "Recovering Latent Variables by Matching," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 118(541), pages 693-706, January.
- Daniel Wilhelm, 2019.
"Testing for the presence of measurement error,"
CeMMAP working papers
CWP48/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm, 2018. "Testing for the presence of measurement error," CeMMAP working papers CWP45/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm, 2019. "Testing for the Presence of Measurement Error," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-18, Economic Statistics Centre of Excellence (ESCoE).
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2015.
"Constrained conditional moment restriction models,"
CeMMAP working papers
59/15, Institute for Fiscal Studies.
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2015. "Constrained conditional moment restriction models," CeMMAP working papers CWP59/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2023. "Constrained Conditional Moment Restriction Models," Econometrica, Econometric Society, vol. 91(2), pages 709-736, March.
- Jad Beyhum & Elia Lapenta & Pascal Lavergne, 2023. "One-step smoothing splines instrumental regression," Papers 2307.14867, arXiv.org, revised Apr 2024.
- Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers 34/15, Institute for Fiscal Studies.
- Chetverikov, Denis & Wilhelm, Daniel & Kim, Dongwoo, 2021.
"An Adaptive Test Of Stochastic Monotonicity,"
Econometric Theory, Cambridge University Press, vol. 37(3), pages 495-536, June.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2018. "An adaptive test of stochastic monotonicity," CeMMAP working papers CWP24/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2020. "An Adaptive Test of Stochastic Monotonicity," CeMMAP working papers CWP17/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2019. "An adaptive test of stochastic monotonicity," CeMMAP working papers CWP49/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & . ., 2016. "On cross-validated Lasso," CeMMAP working papers 47/16, Institute for Fiscal Studies.
- Nishanth Dikkala & Greg Lewis & Lester Mackey & Vasilis Syrgkanis, 2020. "Minimax Estimation of Conditional Moment Models," Papers 2006.07201, arXiv.org.
- Christoph Breunig, 2019. "Specification Testing in Nonparametric Instrumental Quantile Regression," Papers 1909.10129, arXiv.org.
- Christoph Breunig & Xiaohong Chen, 2020. "Adaptive, Rate-Optimal Hypothesis Testing in Nonparametric IV Models," Cowles Foundation Discussion Papers 2238R, Cowles Foundation for Research in Economics, Yale University, revised Dec 2021.
- Krief, Jerome M., 2017. "Direct instrumental nonparametric estimation of inverse regression functions," Journal of Econometrics, Elsevier, vol. 201(1), pages 95-107.
- Beyhum, Jad & Lapenta, Elia & Lavergne, Pascal, 2023. "One-step nonparametric instrumental regression using smoothing splines," TSE Working Papers 23-1467, Toulouse School of Economics (TSE).
- Pengzhou Wu & Kenji Fukumizu, 2021. "$\beta$-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap," Papers 2110.05225, arXiv.org.
- Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers CWP34/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Christoph Breunig & Xiaohong Chen, 2020. "Adaptive, Rate-Optimal Hypothesis Testing in Nonparametric IV Models," Papers 2006.09587, arXiv.org, revised Nov 2024.
- Denis Chetverikov & . ., 2016. "On cross-validated Lasso," CeMMAP working papers CWP47/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Breunig, Christoph, 2016. "Specification testing in nonparametric instrumental quantile regression," SFB 649 Discussion Papers 2016-032, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Kohtaro Hitomi & Masamune Iwasawa & Yoshihiko Nishiyama, 2018. "Rate Optimal Specification Test When the Number of Instruments is Large," KIER Working Papers 986, Kyoto University, Institute of Economic Research.
- Jean-Pierre Florens & Elia Lapenta, 2022. "Partly Linear Instrumental Variables Regressions without Smoothing on the Instruments," Papers 2212.11012, arXiv.org, revised Oct 2023.
- Zheng Fang & Juwon Seo, 2019. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones," Papers 1910.07689, arXiv.org, revised Sep 2021.
- Anupriya, & Graham, Daniel J. & Bansal, Prateek & Hörcher, Daniel & Anderson, Richard, 2023. "Optimal congestion control strategies for near-capacity urban metros: Informing intervention via fundamental diagrams," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
- Anupriya, & Bansal, Prateek & Graham, Daniel J., 2023. "Congestion in cities: Can road capacity expansions provide a solution?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
- Giovanni Compiani, 2022. "Market counterfactuals and the specification of multiproduct demand: A nonparametric approach," Quantitative Economics, Econometric Society, vol. 13(2), pages 545-591, May.
- Susanne M. Schennach & Daniel Wilhelm, 2014.
"A simple parametric model selection test,"
CeMMAP working papers
CWP10/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Susanne M. Schennach & Daniel Wilhelm, 2017. "A Simple Parametric Model Selection Test," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(520), pages 1663-1674, October.
- Susanne M. Schennach & Daniel Wilhelm, 2016. "A simple parametric model selection test," CeMMAP working papers 30/16, Institute for Fiscal Studies.
- Susanne M. Schennach & Daniel Wilhelm, 2014. "A simple parametric model selection test," CeMMAP working papers 10/14, Institute for Fiscal Studies.
- Susanne M. Schennach & Daniel Wilhelm, 2016. "A simple parametric model selection test," CeMMAP working papers CWP30/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
Cited by:
- Yves Breitmoser, 2021. "Controlling for presentation effects in choice," Quantitative Economics, Econometric Society, vol. 12(1), pages 251-281, January.
- de Castro, Luciano & Galvao, Antonio F. & Noussair, Charles N. & Qiao, Liang, 2022. "Do people maximize quantiles?," Games and Economic Behavior, Elsevier, vol. 132(C), pages 22-40.
- Senay Sokullu & Christine Valente, 2022. "Individual consumption in collective households: Identification using repeated observations with an application to PROGRESA," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 286-304, March.
- Hoshino, Tadao & Yanagi, Takahide, 2023.
"Treatment effect models with strategic interaction in treatment decisions,"
Journal of Econometrics, Elsevier, vol. 236(2).
- Tadao Hoshino & Takahide Yanagi, 2018. "Treatment Effect Models with Strategic Interaction in Treatment Decisions," Papers 1810.08350, arXiv.org, revised Feb 2023.
- Beggs, Alan, 2021. "Games with second-order expected utility," Games and Economic Behavior, Elsevier, vol. 130(C), pages 569-590.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2018.
"Inference on winners,"
CeMMAP working papers
CWP73/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2019. "Inference on Winners," NBER Working Papers 25456, National Bureau of Economic Research, Inc.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2024. "Inference on Winners," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(1), pages 305-358.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2020. "Inference on winners," CeMMAP working papers CWP43/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2018. "Inference on winners," CeMMAP working papers CWP31/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Yu‐Chin Hsu & Xiaoxia Shi, 2017. "Model‐selection tests for conditional moment restriction models," Econometrics Journal, Royal Economic Society, vol. 20(1), pages 52-85, February.
- Patrick Gagliardini & Diego Ronchetti, 2020. "Comparing Asset Pricing Models by the Conditional Hansen-Jagannathan Distance," Journal of Financial Econometrics, Oxford University Press, vol. 18(2), pages 333-394.
- Breitmoser, Yves, 2017. "Discrete Choice with Presentation Effects," Rationality and Competition Discussion Paper Series 35, CRC TRR 190 Rationality and Competition.
- Koriyama, Yukio & Ozkes, Ali I., 2021.
"Inclusive cognitive hierarchy,"
Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 458-480.
- Koriyama, Yukio & Ozkes, Ali, 2020. "Inclusive Cognitive Hierarchy," Department for Strategy and Innovation Working Paper Series 09/2020, WU Vienna University of Economics and Business.
- Breitmoser, Yves & Schweighofer-Kodritsch, Sebastian, 2019.
"Obviousness Around the Clock,"
Rationality and Competition Discussion Paper Series
151, CRC TRR 190 Rationality and Competition.
- Breitmoser, Yves & Schweighofer-Kodritsch, Sebastian, 2019. "Obviousness around the clock," Discussion Papers, Research Unit: Market Behavior SP II 2019-203, WZB Berlin Social Science Center.
- Camilo García-Jimeno & Angel Iglesias & Pinar Yildirim, 2022. "Information Networks and Collective Action: Evidence from the Women's Temperance Crusade," American Economic Review, American Economic Association, vol. 112(1), pages 41-80, January.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2020.
"Inference after Estimation of Breaks,"
CeMMAP working papers
CWP34/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Andrews, Isaiah & Kitagawa, Toru & McCloskey, Adam, 2021. "Inference after estimation of breaks," Journal of Econometrics, Elsevier, vol. 224(1), pages 39-59.
- Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2019. "Inference after estimation of breaks," CeMMAP working papers CWP51/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sushma Vishnani & Nityanand Deva & Dheeraj Misra, 2024. "Value Relevance of Comprehensive Income reported as per IFRS-converged Indian Accounting Standards," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(3), pages 453-472, September.
- Breitmoser, Yves, 2016. "Stochastic choice, systematic mistakes and preference estimation," MPRA Paper 72779, University Library of Munich, Germany.
- Piao Chen & Zhi‐Sheng Ye & Xun Xiao, 2019. "Pairwise model discrimination with applications in lifetime distributions and degradation processes," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(8), pages 675-686, December.
- Corradi, Valentina & Fosten, Jack & Gutknecht, Daniel, 2024. "Predictive ability tests with possibly overlapping models," Journal of Econometrics, Elsevier, vol. 241(1).
- Pitarakis, Jean-Yves, 2020.
"Out of sample predictability in predictive regressions with many predictor candidates,"
UC3M Working papers. Economics
31554, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Jesus Gonzalo & Jean-Yves Pitarakis, 2023. "Out of Sample Predictability in Predictive Regressions with Many Predictor Candidates," Papers 2302.02866, arXiv.org, revised Oct 2023.
- Gonzalo, Jesús & Pitarakis, Jean-Yves, 2024. "Out-of-sample predictability in predictive regressions with many predictor candidates," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1166-1178.
- Francesco Bravo, 2022. "Misspecified semiparametric model selection with weakly dependent observations," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(4), pages 558-586, July.
- Jean-Yves Pitarakis, 2020. "A Novel Approach to Predictive Accuracy Testing in Nested Environments," Papers 2008.08387, arXiv.org, revised Oct 2023.
- Santiago Pereda-Fernández, 2021.
"Copula-Based Random Effects Models for Clustered Data,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 575-588, March.
- Santiago Pereda Fernández, 2016. "Copula-based random effects models for clustered data," Temi di discussione (Economic working papers) 1092, Bank of Italy, Economic Research and International Relations Area.
- Cui, Xiaomeng & Gafarov, Bulat & Ghanem, Dalia & Kuffner, Todd, 2024. "On model selection criteria for climate change impact studies," Journal of Econometrics, Elsevier, vol. 239(1).
- Zhipeng Liao & Xiaoxia Shi, 2020. "A nondegenerate Vuong test and post selection confidence intervals for semi/nonparametric models," Quantitative Economics, Econometric Society, vol. 11(3), pages 983-1017, July.
- Breitmoser, Yves & Vorjohann, Pauline, 2022. "Fairness-based Altruism," Center for Mathematical Economics Working Papers 666, Center for Mathematical Economics, Bielefeld University.
- Brück, Florian & Fermanian, Jean-David & Min, Aleksey, 2023. "A corrected Clarke test for model selection and beyond," Journal of Econometrics, Elsevier, vol. 235(1), pages 105-132.
- Breitmoser, Yves & Vorjohann, Pauline, 2018. "Welfare-Based Altruism," Rationality and Competition Discussion Paper Series 89, CRC TRR 190 Rationality and Competition.
- Xiaoxia Shi, 2015. "A nondegenerate Vuong test," Quantitative Economics, Econometric Society, vol. 6(1), pages 85-121, March.
- Matthew Backus & Christopher Conlon & Michael Sinkinson, 2021. "Common Ownership and Competition in the Ready-to-Eat Cereal Industry," NBER Working Papers 28350, National Bureau of Economic Research, Inc.
- Yves Breitmoser & Sebastian Schweighofer-Kodritsch, 2022. "Obviousness around the clock," Experimental Economics, Springer;Economic Science Association, vol. 25(2), pages 483-513, April.
- Gospodinov, Nikolay & Maasoumi, Esfandiar, 2021. "Generalized aggregation of misspecified models: With an application to asset pricing," Journal of Econometrics, Elsevier, vol. 222(1), pages 451-467.
- Daniel Wilhelm, 2014.
"Optimal bandwidth selection for robust generalized method of moments estimation,"
CeMMAP working papers
CWP15/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Wilhelm, Daniel, 2015. "Optimal Bandwidth Selection For Robust Generalized Method Of Moments Estimation," Econometric Theory, Cambridge University Press, vol. 31(5), pages 1054-1077, October.
Cited by:
- Timothy Conley & Silvia Gonçalves & Christian Hansen, 2018. "Inference with Dependent Data in Accounting and Finance Applications," Journal of Accounting Research, Wiley Blackwell, vol. 56(4), pages 1139-1203, September.
- Scholz, Michael & Nielsen, Jens Perch & Sperlich, Stefan, 2015. "Nonparametric prediction of stock returns based on yearly data: The long-term view," Insurance: Mathematics and Economics, Elsevier, vol. 65(C), pages 143-155.
- Davide La Vecchia & Alban Moor & O. Scaillet, 2020.
"A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data,"
Swiss Finance Institute Research Paper Series
20-01, Swiss Finance Institute.
- La Vecchia, Davide & Moor, Alban & Scaillet, Olivier, 2023. "A higher-order correct fast moving-average bootstrap for dependent data," Journal of Econometrics, Elsevier, vol. 235(1), pages 65-81.
- Davide La Vecchia & Alban Moor & Olivier Scaillet, 2020. "A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data," Papers 2001.04867, arXiv.org, revised Jan 2022.
- La Vecchia, Davide & Moor, Alban & Scaillet, Olivier, 2020. "A higher-order correct fast moving-average bootstrap for dependent data," Working Papers unige:129395, University of Geneva, Geneva School of Economics and Management.
- Hwang, Jungbin & Sun, Yixiao, 2018.
"Should we go one step further? An accurate comparison of one-step and two-step procedures in a generalized method of moments framework,"
Journal of Econometrics, Elsevier, vol. 207(2), pages 381-405.
- Hwang, Jungbin & Sun, Yixiao, 2015. "Should We Go One Step Further? An Accurate Comparison of One-step and Two-step Procedures in a Generalized Method of Moments Framework," University of California at San Diego, Economics Working Paper Series qt58r2z98m, Department of Economics, UC San Diego.
- Hirukawa, Masayuki, 2023. "Robust Covariance Matrix Estimation in Time Series: A Review," Econometrics and Statistics, Elsevier, vol. 27(C), pages 36-61.
Articles
- Magne Mogstad & Joseph Romano & Azeem Shaikh & Daniel Wilhelm, 2022.
"Statistical Uncertainty in the Ranking of Journals and Universities,"
AEA Papers and Proceedings, American Economic Association, vol. 112, pages 630-634, May.
See citations under working paper version above.
- Magne Mogstad & Joseph P. Romano & Azeem Shaikh & Daniel Wilhelm, 2022. "Statistical Uncertainty in the Ranking of Journals and Universities," NBER Working Papers 29768, National Bureau of Economic Research, Inc.
- Chetverikov, Denis & Wilhelm, Daniel & Kim, Dongwoo, 2021.
"An Adaptive Test Of Stochastic Monotonicity,"
Econometric Theory, Cambridge University Press, vol. 37(3), pages 495-536, June.
See citations under working paper version above.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2020. "An Adaptive Test of Stochastic Monotonicity," CeMMAP working papers CWP17/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2018. "An adaptive test of stochastic monotonicity," CeMMAP working papers CWP24/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2019. "An adaptive test of stochastic monotonicity," CeMMAP working papers CWP49/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Young Jun Lee & Daniel Wilhelm, 2020.
"Testing for the presence of measurement error in Stata,"
Stata Journal, StataCorp LP, vol. 20(2), pages 382-404, June.
See citations under working paper version above.
- Young Jun Lee & Daniel Wilhelm, 2019. "Testing for the presence of measurement error in Stata," CeMMAP working papers CWP47/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Young Jun Lee & Daniel Wilhelm, 2018. "Testing for the presence of measurement error in Stata," CeMMAP working papers CWP51/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2020.
"Optimal data collection for randomized control trials,"
The Econometrics Journal, Royal Economic Society, vol. 23(1), pages 1-31.
See citations under working paper version above.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers 45/17, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2016. "Optimal data collection for randomized control trials," CeMMAP working papers 15/16, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2019. "Optimal Data Collection for Randomized Control Trials," CeMMAP working papers CWP21/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers 15/17, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers CWP15/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2016. "Optimal Data Collection for Randomized Control Trials," Papers 1603.03675, arXiv.org, revised Aug 2016.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2016. "Optimal data collection for randomized control trials," CeMMAP working papers CWP15/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers CWP45/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Carneiro, Pedro & Lee, Sokbae & Wilhelm, Daniel, 2016. "Optimal Data Collection for Randomized Control Trials," IZA Discussion Papers 9908, Institute of Labor Economics (IZA).
- Denis Chetverikov & Dongwoo Kim & Daniel Wilhelm, 2018.
"Nonparametric instrumental-variable estimation,"
Stata Journal, StataCorp LP, vol. 18(4), pages 937-950, December.
See citations under working paper version above.
- Daniel Wilhelm & Denis Chetverikov & Dongwoo Kim, 2017. "Nonparametric instrumental variable estimation," CeMMAP working papers 47/17, Institute for Fiscal Studies.
- Daniel Wilhelm & Denis Chetverikov & Dongwoo Kim, 2017. "Nonparametric instrumental variable estimation," CeMMAP working papers CWP47/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Susanne M. Schennach & Daniel Wilhelm, 2017.
"A Simple Parametric Model Selection Test,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(520), pages 1663-1674, October.
See citations under working paper version above.
- Susanne M. Schennach & Daniel Wilhelm, 2016. "A simple parametric model selection test," CeMMAP working papers 30/16, Institute for Fiscal Studies.
- Susanne M. Schennach & Daniel Wilhelm, 2014. "A simple parametric model selection test," CeMMAP working papers 10/14, Institute for Fiscal Studies.
- Susanne M. Schennach & Daniel Wilhelm, 2016. "A simple parametric model selection test," CeMMAP working papers CWP30/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Susanne M. Schennach & Daniel Wilhelm, 2014. "A simple parametric model selection test," CeMMAP working papers CWP10/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2017.
"Nonparametric Instrumental Variable Estimation Under Monotonicity,"
Econometrica, Econometric Society, vol. 85, pages 1303-1320, July.
See citations under working paper version above.
- Denis Chetverikov & Daniel Wilhelm, 2017. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP14/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP39/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," Papers 1507.05270, arXiv.org.
- Denis Chetverikov & Daniel Wilhelm, 2016. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP48/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Wilhelm, Daniel, 2015.
"Optimal Bandwidth Selection For Robust Generalized Method Of Moments Estimation,"
Econometric Theory, Cambridge University Press, vol. 31(5), pages 1054-1077, October.
See citations under working paper version above.Sorry, no citations of articles recorded.
- Daniel Wilhelm, 2014. "Optimal bandwidth selection for robust generalized method of moments estimation," CeMMAP working papers CWP15/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
Software components
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Sorry, no citations of software components recorded.
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Co-authorship network on CollEc
NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 23 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-ECM: Econometrics (13) 2014-03-30 2014-03-30 2015-08-13 2015-08-13 2016-05-14 2016-06-25 2018-01-15 2018-07-23 2019-02-18 2020-01-06 2020-04-20 2021-11-22 2022-03-21. Author is listed
- NEP-EXP: Experimental Economics (6) 2016-05-14 2016-06-25 2017-05-14 2017-10-01 2018-01-15 2020-01-13. Author is listed
- NEP-ORE: Operations Research (6) 2016-06-25 2020-01-13 2020-10-12 2021-11-22 2021-12-13 2022-03-21. Author is listed
- NEP-DEV: Development (5) 2016-05-14 2016-06-25 2017-05-14 2017-10-01 2018-01-15. Author is listed
- NEP-POL: Positive Political Economics (3) 2021-11-22 2021-12-13 2022-01-17
- NEP-BIG: Big Data (2) 2017-10-01 2020-01-13
- NEP-NET: Network Economics (2) 2016-06-25 2016-06-25
- NEP-PAY: Payment Systems and Financial Technology (2) 2017-05-14 2018-01-15
- NEP-BAN: Banking (1) 2022-03-21
- NEP-SOG: Sociology of Economics (1) 2022-03-21
- NEP-URE: Urban and Real Estate Economics (1) 2022-01-17
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