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Maximilian Kasy

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Isaiah Andrews & Maximilian Kasy, 2019. "Identification of and Correction for Publication Bias," American Economic Review, American Economic Association, vol. 109(8), pages 2766-2794, August.

    Mentioned in:

    1. Identification of and Correction for Publication Bias (AER 2019) in ReplicationWiki ()

Working papers

  1. Kasy, Maximilian, 2023. "The political economy of AI: Towards democratic control of the means of prediction," INET Oxford Working Papers 2023-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

    Cited by:

    1. Maximilian Kasy, 2023. "Algorithmic bias and racial inequality: A critical review," Economics Series Working Papers 1015, University of Oxford, Department of Economics.
    2. Belloc, Filippo & Burdin, Gabriel & Dughera, Stefano & Landini, Fabio, 2023. "Contested Transparency: Digital Monitoring Technologies and Worker Voice," IZA Discussion Papers 16362, Institute of Labor Economics (IZA).

  2. Lehner, Lukas & Kasy, Maximilian, 2022. "Employing the unemployed of Marienthal: Evaluation of a guaranteed job program," INET Oxford Working Papers 2022-29, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

    Cited by:

    1. Aleksandr Arsenev & Meryem Gökten & Philipp Heimberger & Andreas Lichtenberger, 2024. "Full Employment: A Survey of Theory, Empirics and Policies," wiiw Working Papers 249, The Vienna Institute for International Economic Studies, wiiw.
    2. Ernst, Ekkehard & Merola, Rossana & Reljic, Jelena, 2024. "Fiscal policy instruments for inclusive labour markets: A review," GLO Discussion Paper Series 1406, Global Labor Organization (GLO).
    3. Laura Pohlan, 2024. "Unemployment’s long shadow: the persistent impact on social exclusion," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 58(1), pages 1-16, December.
    4. Judith Derndorfer & Daniel Haim & Markus Marterbauer & Patrick Mokre, 2023. "Arbeitskräfteknappheit: Chancen auf gute Arbeit für alle," Wirtschaft und Gesellschaft - WuG, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik, vol. 49(1), pages 5-19.
    5. Andrés Dean & Fernanda Diab & Juan Olano & Agustín Reyes & Guillermo Sánchez-Laguardia & Juan Ignacio Urruty, 2023. "Empleo Garantizado por el Estado y Renta Básica Universal: estrategias para enfrentar el problema estructural del empleo precario," Documentos de Trabajo (working papers) 23-22, Instituto de Economía - IECON.
    6. Hannah Quinz & Jörg Flecker, 2023. "„Marienthal reversed“: Wie wirkt eine Arbeitsplatzgarantie für langzeitarbeitslose Menschen im österreichischen Kontext?," Wirtschaft und Gesellschaft - WuG, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik, vol. 49(3), pages 79-104.

  3. Maximilian Kasy & Alexander Teytelboym, 2020. "Adaptive Combinatorial Allocation," Papers 2011.02330, arXiv.org.

    Cited by:

    1. Maximilian Kasy & Alex Teytelboym, 2020. "Adaptive Targeted Infectious Disease Testing," Economics Series Working Papers 907, University of Oxford, Department of Economics.

  4. Stefano Caria & Grant Gordon & Maximilian Kasy & Simon Quinn & Soha Shami & Alexander Teytelboym, 2020. "An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan," CESifo Working Paper Series 8535, CESifo.

    Cited by:

    1. Keisuke Hirano & Jack R. Porter, 2023. "Asymptotic Representations for Sequential Decisions, Adaptive Experiments, and Batched Bandits," Papers 2302.03117, arXiv.org.
    2. Sonan Memon, 2021. "Machine Learning for Economists: An Introduction," PIDE Knowledge Brief 2021:33, Pakistan Institute of Development Economics.
    3. Samantha Horn & Sabina J. Sloman, 2022. "A Comparison of Methods for Adaptive Experimentation," Papers 2207.00683, arXiv.org.
    4. Saskia Opitz & Dirk Sliwka & Timo Vogelsang & Tom Zimmermann, 2022. "The Targeted Assignment of Incentive Schemes," ECONtribute Discussion Papers Series 187, University of Bonn and University of Cologne, Germany.
    5. Masselus, Lise & Petrik, Christina & Ankel-Peters, Jörg, 2024. "Lost in the design space? Construct validity in the microfinance literature," Ruhr Economic Papers 1097, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Girija Bahety & Sebastian Bauhoff & Dev Patel & James Potter, 2021. "Texts Don’t Nudge: An Adaptive Trial to Prevent the Spread of COVID-19 in India," Working Papers 585, Center for Global Development.
    7. Esposito Acosta,Bruno Nicola & Sautmann,Anja, 2022. "Adaptive Experiments for Policy Choice : Phone Calls for Home Reading in Kenya," Policy Research Working Paper Series 10098, The World Bank.
    8. Ozler,Berk & Celik,Cigdem & Cunningham,Scott & Cuevas,Pablo Facundo & Parisotto,Luca, 2020. "Children on the Move : Progressive Redistribution of Humanitarian Cash Transfers among Refugees," Policy Research Working Paper Series 9471, The World Bank.
    9. Shamsuddin,Mrittika & Acosta,Pablo Ariel & Battaglin Schwengber,Rovane & Fix,Jedediah Rooney & Pirani,Nikolas, 2021. "Integration of Venezuelan Refugees and Migrants in Brazil," Policy Research Working Paper Series 9605, The World Bank.
    10. Michael Gechter & Keisuke Hirano & Jean Lee & Mahreen Mahmud & Orville Mondal & Jonathan Morduch & Saravana Ravindran & Abu S. Shonchoy, 2024. "Selecting Experimental Sites for External Validity," Papers 2405.13241, arXiv.org.
    11. Henrique, 2024. "The Power of Dialogue: Forced Displacement and Social Integration amid an Islamist Insurgency in Mozambique," HiCN Working Papers 405, Households in Conflict Network.
    12. Gao, Xiaoxue Sherry & Harrison, Glenn & Tchernis, Rusty, 2020. "Behavioral Welfare Economics and Risk Preferences: A Bayesian Approach," IZA Discussion Papers 13580, Institute of Labor Economics (IZA).
    13. Max Cytrynbaum, 2021. "Optimal Stratification of Survey Experiments," Papers 2111.08157, arXiv.org, revised Aug 2023.
    14. Maximilian Kasy & Alexander Teytelboym, 2023. "Matching with semi-bandits," The Econometrics Journal, Royal Economic Society, vol. 26(1), pages 45-66.
    15. Xiaoxue Sherry Gao & Glenn W. Harrison & Rusty Tchernis, 2023. "Behavioral welfare economics and risk preferences: a Bayesian approach," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 273-303, April.
    16. Danielle Li & Lindsey R. Raymond & Peter Bergman, 2020. "Hiring as Exploration," NBER Working Papers 27736, National Bureau of Economic Research, Inc.
    17. Danutė Krapavickaitė, 2022. "Impact of Stratum Composition Changes on the Accuracy of the Estimates in a Sample Survey," Mathematics, MDPI, vol. 10(7), pages 1-21, March.
    18. Susan Athey & Undral Byambadalai & Vitor Hadad & Sanath Kumar Krishnamurthy & Weiwen Leung & Joseph Jay Williams, 2022. "Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning," Papers 2211.12004, arXiv.org.

  5. Maximilian Kasy & Alex Teytelboym, 2020. "Adaptive Targeted Infectious Disease Testing," Economics Series Working Papers 907, University of Oxford, Department of Economics.

    Cited by:

    1. Mark Whitmeyer, 2021. "An imperfect test for a virus can Be worse than No test at all," Health Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 1347-1360, June.
    2. Sanjay Jain & Jónas Oddur Jónasson & Jean Pauphilet & Kamalini Ramdas, 2023. "Robust combination testing: methods and application to COVID-19 detection," Economics Series Working Papers 1009, University of Oxford, Department of Economics.
    3. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asuman Ozdaglar, 2024. "Testing, Voluntary Social Distancing, and the Spread of an Infection," Operations Research, INFORMS, vol. 72(2), pages 533-548, March.
    4. Lipnowski, Elliot & Ravid, Doron, 2021. "Pooled testing for quarantine decisions," Journal of Economic Theory, Elsevier, vol. 198(C).
    5. Joshua S. Gans, 2022. "Test sensitivity for infection versus infectiousness of SARS‐CoV‐2," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 1880-1887, September.
    6. Masashige Hamano & Munechika Katayama & So Kubota, 2020. "COVID-19 Misperception and Macroeconomy," Working Papers 2016, Waseda University, Faculty of Political Science and Economics.
    7. Girija Bahety & Sebastian Bauhoff & Dev Patel & James Potter, 2021. "Texts Don’t Nudge: An Adaptive Trial to Prevent the Spread of COVID-19 in India," Working Papers 585, Center for Global Development.
    8. Ely, Jeffrey & Galeotti, Andrea & Jann, Ole & Steiner, Jakub, 2021. "Optimal test allocation," Journal of Economic Theory, Elsevier, vol. 193(C).
    9. Joren Raymenants & Caspar Geenen & Jonathan Thibaut & Klaas Nelissen & Sarah Gorissen & Emmanuel Andre, 2022. "Empirical evidence on the efficiency of backward contact tracing in COVID-19," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    10. Bakker, Hannah & Bindewald, Viktor & Dunke, Fabian & Nickel, Stefan, 2023. "Logistics for diagnostic testing: An adaptive decision-support framework," European Journal of Operational Research, Elsevier, vol. 311(3), pages 1120-1133.
    11. Francesco Flaviano Russo, 2020. "Testing Policies During an Epidemic," CSEF Working Papers 591, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.

  6. Maximilian Kasy & Anja Sautmann, 2019. "Adaptive Treatment Assignment in Experiments for Policy Choice," CESifo Working Paper Series 7778, CESifo.

    Cited by:

    1. Julia Höhler & Jesús Barreiro‐Hurlé & Mikołaj Czajkowski & François J. Dessart & Paul J. Ferraro & Tongzhe Li & Kent D. Messer & Leah Palm‐Forster & Mette Termansen & Fabian Thomas & Katarzyna Zagórsk, 2024. "Perspectives on stakeholder participation in the design of economic experiments for agricultural policymaking: Pros, cons, and twelve recommendations for researchers," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(1), pages 338-359, March.
    2. Karun Adusumilli, 2021. "Risk and optimal policies in bandit experiments," Papers 2112.06363, arXiv.org, revised Jan 2024.
    3. Maximilian Kasy & Anja Sautmann, 2019. "Adaptive Treatment Assignment in Experiments for Policy Choice," CESifo Working Paper Series 7778, CESifo.
    4. Battistin, Erich & De Nadai, Michele & Krishnan, Nandini, 2020. "The Insights and Illusions of Consumption Measurements," IZA Discussion Papers 13222, Institute of Labor Economics (IZA).
    5. Nicolo Cesa-Bianchi & Roberto Colomboni & Maximilian Kasy, 2023. "Adaptive maximization of social welfare," Papers 2310.09597, arXiv.org, revised Jul 2024.
    6. Elena Serfilippi & Daniele Giovannucci & David Ameyaw & Ankur Bansal & Thomas Asafua Nketsia Wobill & Roberta Blankson & Rashi Mishra, 2022. "Benefits and Challenges of Making Data More Agile: A Review of Recent Key Approaches in Agriculture," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    7. Frederico Finan & Demian Pouzo, 2021. "Reinforcing RCTs with Multiple Priors while Learning about External Validity," Papers 2112.09170, arXiv.org, revised Sep 2024.
    8. Battistin, Erich & De Nadai, Michele & Krishnan, Nandini, 2023. "The insights and illusions of consumption measurements," Journal of Development Economics, Elsevier, vol. 161(C).
    9. Keisuke Hirano & Jack R. Porter, 2023. "Asymptotic Representations for Sequential Decisions, Adaptive Experiments, and Batched Bandits," Papers 2302.03117, arXiv.org.
    10. Chao Qin & Daniel Russo, 2024. "Optimizing Adaptive Experiments: A Unified Approach to Regret Minimization and Best-Arm Identification," Papers 2402.10592, arXiv.org, revised Jul 2024.
    11. Arthur Charpentier & Romuald Elie & Carl Remlinger, 2020. "Reinforcement Learning in Economics and Finance," Papers 2003.10014, arXiv.org.
    12. Michael Walton, 2023. "Adaptive Evaluation: A Complexity-Based Approach to Systematic Learning for Innovation and Scaling in Development," CID Working Papers 428, Center for International Development at Harvard University.
    13. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2023. "Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds," Papers 2302.02988, arXiv.org, revised Jul 2023.
    14. Samantha Horn & Sabina J. Sloman, 2022. "A Comparison of Methods for Adaptive Experimentation," Papers 2207.00683, arXiv.org.
    15. Caio Waisman & Harikesh S. Nair & Carlos Carrion, 2019. "Online Causal Inference for Advertising in Real-Time Bidding Auctions," Papers 1908.08600, arXiv.org, revised Feb 2024.
    16. Masahiro Kato, 2021. "Adaptive Doubly Robust Estimator from Non-stationary Logging Policy under a Convergence of Average Probability," Papers 2102.08975, arXiv.org, revised Mar 2021.
    17. Maximilian Kasy & Alexander Teytelboym, 2020. "Adaptive Combinatorial Allocation," Papers 2011.02330, arXiv.org.
    18. Maximilian Kasy & Alex Teytelboym, 2020. "Adaptive Targeted Infectious Disease Testing," Economics Series Working Papers 907, University of Oxford, Department of Economics.
    19. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2022. "Best Arm Identification with Contextual Information under a Small Gap," Papers 2209.07330, arXiv.org, revised Jan 2023.
    20. Karun Adusumilli, 2022. "Neyman allocation is minimax optimal for best arm identification with two arms," Papers 2204.05527, arXiv.org, revised Aug 2022.
    21. Michael Lechner, 2023. "Causal Machine Learning and its use for public policy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-15, December.
    22. Girija Bahety & Sebastian Bauhoff & Dev Patel & James Potter, 2021. "Texts Don’t Nudge: An Adaptive Trial to Prevent the Spread of COVID-19 in India," Working Papers 585, Center for Global Development.
    23. Toru Kitagawa & Jeff Rowley, 2024. "Bandit algorithms for policy learning: methods, implementation, and welfare-performance," The Japanese Economic Review, Springer, vol. 75(3), pages 407-447, July.
    24. A. Stefano Caria & Grant Gordon & Maximilian Kasy & Simon Quinn & Soha Shami & Alexander Teytelboym, 2020. "An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan," CSAE Working Paper Series 2020-20, Centre for the Study of African Economies, University of Oxford.
    25. Glenn W. Harrison, 2024. "Risk preferences and risk perceptions in insurance experiments: some methodological challenges," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 49(1), pages 127-161, March.
    26. Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised May 2024.
    27. Yuehao Bai & Azeem M. Shaikh & Max Tabord-Meehan, 2024. "A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances," Papers 2405.03910, arXiv.org.
    28. Harrison H. Li & Art B. Owen, 2023. "Double machine learning and design in batch adaptive experiments," Papers 2309.15297, arXiv.org.
    29. Karun Adusumilli, 2023. "Optimal tests following sequential experiments," Papers 2305.00403, arXiv.org, revised Jun 2023.
    30. Gao, Xiaoxue Sherry & Harrison, Glenn & Tchernis, Rusty, 2020. "Behavioral Welfare Economics and Risk Preferences: A Bayesian Approach," IZA Discussion Papers 13580, Institute of Labor Economics (IZA).
    31. Kitagawa, Toru & Wang, Guanyi, 2023. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," Journal of Econometrics, Elsevier, vol. 232(1), pages 109-131.
    32. Nibbering, Didier & Oosterveen, Matthijs & Silva, Pedro Luís, 2022. "Clustered Local Average Treatment Effects: Fields of Study and Academic Student Progress," IZA Discussion Papers 15159, Institute of Labor Economics (IZA).
    33. Qian Qi, 2023. "Artificial Intelligence and Dual Contract," Papers 2303.12350, arXiv.org, revised Jun 2024.
    34. Masahiro Kato & Kyohei Okumura & Takuya Ishihara & Toru Kitagawa, 2024. "Adaptive Experimental Design for Policy Learning," Papers 2401.03756, arXiv.org, revised Feb 2024.
    35. Arthur Charpentier & Romuald Élie & Carl Remlinger, 2023. "Reinforcement Learning in Economics and Finance," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 425-462, June.
    36. Battiston, Pietro & Gamba, Simona & Santoro, Alessandro, 2024. "Machine learning and the optimization of prediction-based policies," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    37. Max Cytrynbaum, 2021. "Optimal Stratification of Survey Experiments," Papers 2111.08157, arXiv.org, revised Aug 2023.
    38. Toru Kitagawa & Guanyi Wang, 2021. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP28/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    39. Maximilian Kasy & Alexander Teytelboym, 2023. "Matching with semi-bandits," The Econometrics Journal, Royal Economic Society, vol. 26(1), pages 45-66.
    40. Xiaoxue Sherry Gao & Glenn W. Harrison & Rusty Tchernis, 2023. "Behavioral welfare economics and risk preferences: a Bayesian approach," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 273-303, April.
    41. Sebastian Jobjörnsson & Henning Schaak & Oliver Musshoff & Tim Friede, 2023. "Improving the statistical power of economic experiments using adaptive designs," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 357-382, April.
    42. Kock, Anders Bredahl & Preinerstorfer, David & Veliyev, Bezirgen, 2023. "Treatment recommendation with distributional targets," Journal of Econometrics, Elsevier, vol. 234(2), pages 624-646.
    43. Toru Kitagawa & Jeff Rowley, 2024. "Bandit Algorithms for Policy Learning: Methods, Implementation, and Welfare-performance," Papers 2409.00379, arXiv.org.
    44. Martino Banchio & Giacomo Mantegazza, 2022. "Artificial Intelligence and Spontaneous Collusion," Papers 2202.05946, arXiv.org, revised Sep 2023.
    45. Danielle Li & Lindsey R. Raymond & Peter Bergman, 2020. "Hiring as Exploration," NBER Working Papers 27736, National Bureau of Economic Research, Inc.
    46. Masahiro Kato, 2024. "Adaptive Generalized Neyman Allocation: Local Asymptotic Minimax Optimal Best Arm Identification," Papers 2405.19317, arXiv.org.
    47. Larissa Fuchs & Matthias Heinz & Pia Pinger & Max Thon, 2024. "How to Attract Talents? Field-Experimental Evidence on Emphasizing Flexibility and Career Opportunities in Job Advertisements," ECONtribute Discussion Papers Series 332, University of Bonn and University of Cologne, Germany.
    48. Susan Athey & Undral Byambadalai & Vitor Hadad & Sanath Kumar Krishnamurthy & Weiwen Leung & Joseph Jay Williams, 2022. "Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning," Papers 2211.12004, arXiv.org.
    49. Masahiro Kato, 2023. "Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances," Papers 2312.12741, arXiv.org, revised Mar 2024.

  7. Kasy, Maximilian, 2019. "Selective publication of findings: Why does it matter, and what should we do about it?," MetaArXiv xwngs, Center for Open Science.

    Cited by:

    1. Felix Chopra & Ingar Haaland & Christopher Roth & Andreas Stegmann, 2023. "The Null Result Penalty," The Economic Journal, Royal Economic Society, vol. 134(657), pages 193-219.

  8. Kasy, Maximilian & Frankel, Alexander, 2018. "Which findings should be published?," MetaArXiv mbvz3, Center for Open Science.

    Cited by:

    1. Guillaume Coqueret, 2023. "Forking paths in financial economics," Papers 2401.08606, arXiv.org.
    2. Maximilian Kasy & Jann Spiess, 2022. "Rationalizing Pre-Analysis Plans:Statistical Decisions Subject to Implementability," Economics Series Working Papers 975, University of Oxford, Department of Economics.
    3. Prashant Garg & Thiemo Fetzer, 2024. "Causal Claims in Economics," CESifo Working Paper Series 11462, CESifo.
    4. Abel Brodeur & Scott E. Carrell & David N. Figlio & Lester R. Lusher, 2023. "Unpacking P-Hacking and Publication Bias," NBER Working Papers 31548, National Bureau of Economic Research, Inc.
    5. Maximilian Kasy & Jann Spiess, 2022. "Optimal Pre-Analysis Plans: Statistical Decisions Subject to Implementability," Papers 2208.09638, arXiv.org, revised Jul 2024.
    6. David M. Kaplan, 2019. "Unbiased Estimation as a Public Good," Working Papers 1911, Department of Economics, University of Missouri.
    7. Felix Chopra & Ingar Haaland & Christopher Roth & Andreas Stegmann, 2023. "The Null Result Penalty," The Economic Journal, Royal Economic Society, vol. 134(657), pages 193-219.
    8. Isaiah Andrews & Jesse M. Shapiro, 2021. "A Model of Scientific Communication," Econometrica, Econometric Society, vol. 89(5), pages 2117-2142, September.
    9. Drazen, Allan & Dreber, Anna & Ozbay, Erkut Y. & Snowberg, Erik, 2021. "Journal-based replication of experiments: An application to “Being Chosen to Lead”," Journal of Public Economics, Elsevier, vol. 202(C).
    10. Abhirup Bhunia, 2021. "Evidence-based Policy in India: Crossing the Long, Uphill Bridge," Journal of Development Policy and Practice, , vol. 6(2), pages 137-143, July.
    11. Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2022. "The Power of Tests for Detecting $p$-Hacking," Papers 2205.07950, arXiv.org, revised Apr 2024.
    12. Davide Viviano & Kaspar Wuthrich & Paul Niehaus, 2021. "A model of multiple hypothesis testing," Papers 2104.13367, arXiv.org, revised Apr 2024.

  9. Pirmin Fessler & Kasy, Maximilian, 2017. "How to use economic theory to improve estimators," Working Paper 309271, Harvard University OpenScholar.

    Cited by:

    1. Denni Tommasi & Alexander Wolf, 2016. "Overcoming Weak Identification in the Estimation of Household Resource Shares," Working Papers ECARES ECARES 2016-12, ULB -- Universite Libre de Bruxelles.
    2. St'ephane Bonhomme & Martin Weidner, 2018. "Minimizing Sensitivity to Model Misspecification," Papers 1807.02161, arXiv.org, revised Oct 2021.
    3. Stéphane Bonhomme & Martin Weidner, 2019. "Posterior average effects," CeMMAP working papers CWP43/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Keisuke Hirano & Jack R. Porter, 2016. "Panel Asymptotics and Statistical Decision Theory," The Japanese Economic Review, Springer, vol. 67(1), pages 33-49, March.
    5. Tommasi, Denni & Wolf, Alexander, 2018. "Estimating household resource shares: A shrinkage approach," Economics Letters, Elsevier, vol. 163(C), pages 75-78.

  10. Alberto Abadie & Kasy, Maximilian, 2017. "The risk of machine learning," Working Paper 383316, Harvard University OpenScholar.

    Cited by:

    1. Kunz, Johannes S. & Staub, Kevin E. & Winkelmann, Rainer, 2017. "Estimating Fixed Effects: Perfect Prediction and Bias in Binary Response Panel Models, with an Application to the Hospital Readmissions Reduction Program," IZA Discussion Papers 11182, Institute of Labor Economics (IZA).
    2. James Habyarimana & Stuti Khemani & Thiago Scot, 2023. "The importance of political selection for bureaucratic effectiveness," Economica, London School of Economics and Political Science, vol. 90(359), pages 746-779, July.
    3. David Easley & Eleonora Patacchini & Christopher Rojas, 2020. "Multidimensional diffusion processes in dynamic online networks," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-21, February.
    4. Stéphane Bonhomme & Martin Weidner, 2019. "Posterior average effects," CeMMAP working papers CWP43/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Fiona Burlig & Christopher Knittel & David Rapson & Mar Reguant & Catherine Wolfram, 2020. "Machine Learning from Schools about Energy Efficiency," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 7(6), pages 1181-1217.
    6. Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
    7. Alexander M. Chinco & Adam D. Clark-Joseph & Mao Ye, 2017. "Sparse Signals in the Cross-Section of Returns," NBER Working Papers 23933, National Bureau of Economic Research, Inc.
    8. Deimante Teresiene & Margarita Aleksynaite, 2020. "The Use of Technical Analysis in the US, European and Asian Stock Markets," Technium Social Sciences Journal, Technium Science, vol. 8(1), pages 302-318, June.
    9. Pablo Picardo, 2019. "Predicción de precios de vivienda: Aprendizaje estadístico con datos de oferta y transacciones para la ciudad de Montevideo," Documentos de trabajo 2019002, Banco Central del Uruguay.

  11. Kasy, Maximilian, 2017. "Optimal taxation and insurance using machine learning," Working Paper 56221, Harvard University OpenScholar.

    Cited by:

    1. Toru Kitagawa & Aleksey Tetenov, 2018. "Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice," Econometrica, Econometric Society, vol. 86(2), pages 591-616, March.

  12. Isaiah Andrews & Maximilian Kasy, 2017. "Identification of and correction for publication bias," Papers 1711.10527, arXiv.org.

    Cited by:

    1. Sanghyun Hong & W. Robert Reed & Bifei Tian & Tingting Wu & Gen Chen, 2021. "Does FDI Promote Entrepreneurial Activities? A Meta-Analysis," Working Papers in Economics 21/03, University of Canterbury, Department of Economics and Finance.
    2. Philipp Heimberger, 2019. "Beeinflusst die ökonomische Globalisierung die Einkommensungleichheit? Eine Meta-Analyse," Wirtschaft und Gesellschaft - WuG, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik, vol. 45(4), pages 497-529.
    3. Irsova, Zuzana & Bom, Pedro Ricardo Duarte & Havranek, Tomas & Rachinger, Heiko, 2023. "Spurious Precision in Meta-Analysis," MetaArXiv 3qp2w, Center for Open Science.
    4. Abhijit Banerjee & Esther Duflo & Amy Finkelstein & Lawrence F. Katz & Benjamin A. Olken & Anja Sautmann, 2020. "In Praise of Moderation: Suggestions for the Scope and Use of Pre-Analysis Plans for RCTs in Economics," NBER Working Papers 26993, National Bureau of Economic Research, Inc.
    5. Karthik Muralidharan & Mauricio Romero & Kaspar Wüthrich, 2020. "Factorial Designs, Model Selection, and (Incorrect) Inference in Randomized Experiments," CESifo Working Paper Series 8137, CESifo.
    6. Havranek, Tomas & Horvath, Roman & Elminejad, Ali, 2021. "Publication and Identification Biases in Measuring the Intertemporal Substitution of Labor Supply," MetaArXiv nshqx, Center for Open Science.
    7. Grover, Arti & Lall, Somik & Timmis, Jonathan, 2023. "Agglomeration economies in developing countries: A meta-analysis," Regional Science and Urban Economics, Elsevier, vol. 101(C).
    8. Alexander, L. Brown & Taisuke Imai & Ferdinand M. Vieider & Colin Camerer, 2021. "Meta-Analysis of Empirical Estimates of Loss-Aversion," CESifo Working Paper Series 8848, CESifo.
    9. MA, Xinxin & LI, Yalan & IWASAKI, Ichiro, 2023. "The Hukou System and Wage Gap between Urban and Rural Migrant Workers in China : A Meta-Analysis," Discussion Paper Series 751, Institute of Economic Research, Hitotsubashi University.
    10. Jonathan Roth, 2018. "Should We Adjust for the Test for Pre-trends in Difference-in-Difference Designs?," Papers 1804.01208, arXiv.org, revised May 2018.
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    145. Xindong Xue & Mingmei Cheng & Wangyongxin Zhang, 2021. "Does Education Really Improve Health? A Meta‐Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 71-105, February.
    146. Todd Mitton, 2022. "Methodological Variation in Empirical Corporate Finance," The Review of Financial Studies, Society for Financial Studies, vol. 35(2), pages 527-575.
    147. Bajzik, Josef, 2023. "Is the role of shareholder activism in corporate governance overestimated?," Finance Research Letters, Elsevier, vol. 58(PC).
    148. Sintos, Andreas, 2023. "Does inflation worsen income inequality? A meta-analysis," Economic Systems, Elsevier, vol. 47(4).
    149. IWASAKI, Ichiro & ONO, Shigeki, 2024. "Financial Intermediation versus Direct Financing : A Meta-Analytic Comparison of the Growth-Enhancing Effect," CEI Working Paper Series 2024-01, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    150. Butts, Kyle, 2023. "JUE Insight: Difference-in-differences with geocoded microdata," Journal of Urban Economics, Elsevier, vol. 133(C).

  13. Kasy, Maximilian, 2015. "Uniformity and the delta method," Working Paper 197561, Harvard University OpenScholar.

    Cited by:

    1. Antoine, Bertille & Lavergne, Pascal, 2023. "Identification-robust nonparametric inference in a linear IV model," Journal of Econometrics, Elsevier, vol. 235(1), pages 1-24.
    2. Atsushi Inoue & Lutz Kilian, 2019. "The Uniform Validity of Impulse Response Inference in Autoregressions," Working Papers 1908, Federal Reserve Bank of Dallas.
    3. Baillien, Jonas & Gijbels, Irène & Verhasselt, Anneleen, 2023. "A new distance based measure of asymmetry," Journal of Multivariate Analysis, Elsevier, vol. 193(C).
    4. JoonHwan Cho & Thomas M. Russell, 2018. "Simple Inference on Functionals of Set-Identified Parameters Defined by Linear Moments," Papers 1810.03180, arXiv.org, revised May 2023.

  14. Kasy, Maximilian, 2014. "Who wins, who loses? Tools for distributional policy evaluation," Working Paper 143126, Harvard University OpenScholar.

    Cited by:

    1. Charlotte Alexander & Anna Haley-Lock, 2015. "Underwork, Work-Hour Insecurity, and A New Approach to Wage and Hour Regulation," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 54(4), pages 695-716, October.

  15. Kasy, Maximilian, 2012. "Intergenerational mobility and optimal income taxation," Working Paper 32851, Harvard University OpenScholar.

    Cited by:

    1. Siwar Khelifa, 2020. "Risks and optimal migration duration: The role of higher order risk attitudes," Working Papers halshs-02940346, HAL.

  16. Pirmin Fessler & Kasy, Maximilian & Peter Lindner, 2012. "Survey mode effects on income inequality measurement," Working Paper 48766, Harvard University OpenScholar.

    Cited by:

    1. Alyssa Schneebaum & Miriam Rehm & Katharina Mader & Katarina Hollan, 2018. "The Gender Wealth Gap Across European Countries," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 295-331, June.
    2. Lindner, Peter & Andreasch, Michael, 2014. "Micro and macro data: a comparison of the Household Finance and Consumption Survey with financial accounts in Austria," Working Paper Series 1673, European Central Bank.
    3. Stefan Angel & Richard Heuberger & Nadja Lamei, 2018. "Differences Between Household Income from Surveys and Registers and How These Affect the Poverty Headcount: Evidence from the Austrian SILC," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(2), pages 575-603, July.
    4. Kavonius, Ilja Kristian & Honkkila, Juha, 2013. "Micro and macro analysis on household income, wealth and saving in the euro area," Working Paper Series 1619, European Central Bank.

  17. Kasy, Maximilian, "undated". "Partial identification, distributional preferences, and the welfare ranking of policies," Working Paper 32846, Harvard University OpenScholar.

    Cited by:

    1. Juliano Assunção & Robert McMillan & Joshua Murphy & Eduardo Souza-Rodrigues, 2019. "Optimal Environmental Targeting in the Amazon Rainforest," NBER Working Papers 25636, National Bureau of Economic Research, Inc.
    2. Susan Athey & Stefan Wager, 2017. "Policy Learning with Observational Data," Papers 1702.02896, arXiv.org, revised Sep 2020.
    3. Yan Liu, 2022. "Policy Learning under Endogeneity Using Instrumental Variables," Papers 2206.09883, arXiv.org, revised Mar 2024.
    4. Epstein, Larry G. & Seo, Kyoungwon, 2015. "Exchangeable capacities, parameters and incomplete theories," Journal of Economic Theory, Elsevier, vol. 157(C), pages 879-917.
    5. Yuya Sasaki & Takuya Ura, 2020. "Welfare Analysis via Marginal Treatment Effects," Papers 2012.07624, arXiv.org.
    6. Takuya Ishihara & Toru Kitagawa, 2021. "Evidence Aggregation for Treatment Choice," Papers 2108.06473, arXiv.org, revised Jul 2024.
    7. Julian Martinez-Iriarte & YiXiao Sun, 2022. "Identification and Estimation of Unconditional Policy Effects of an Endogenous Binary Treatment: an Unconditional MTE Approach," Working Papers 131, Red Nacional de Investigadores en Economía (RedNIE).
    8. Dahlstrand Rudin, Amanda, 2022. "Defying distance? The provision of services in the digital age," LSE Research Online Documents on Economics 118042, London School of Economics and Political Science, LSE Library.
    9. Sergio Firpo & Antonio F. Galvao & Martyna Kobus & Thomas Parker & Pedro Rosa-Dias, 2020. "Loss aversion and the welfare ranking of policy interventions," Papers 2004.08468, arXiv.org, revised Sep 2023.
    10. Kohei Yata, 2021. "Optimal Decision Rules Under Partial Identification," Papers 2111.04926, arXiv.org, revised Aug 2023.
    11. Julian Martinez-Iriarte, 2023. "Sensitivity Analysis in Unconditional Quantile Effects," Papers 2303.14298, arXiv.org, revised Jun 2024.
    12. A. Stefano Caria & Grant Gordon & Maximilian Kasy & Simon Quinn & Soha Shami & Alexander Teytelboym, 2020. "An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan," CSAE Working Paper Series 2020-20, Centre for the Study of African Economies, University of Oxford.
    13. Julian Martinez-Iriarte & Yixiao Sun, 2020. "Identification and Estimation of Unconditional Policy Effects of an Endogenous Binary Treatment: An Unconditional MTE Approach," Papers 2010.15864, arXiv.org, revised Aug 2024.
    14. Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised May 2024.
    15. Bulat Gafarov, 2019. "Simple subvector inference on sharp identified set in affine models," Papers 1904.00111, arXiv.org, revised Jul 2024.
    16. JoonHwan Cho & Thomas M. Russell, 2018. "Simple Inference on Functionals of Set-Identified Parameters Defined by Linear Moments," Papers 1810.03180, arXiv.org, revised May 2023.
    17. Toru Kitagawa & Hugo Lopez & Jeff Rowley, 2022. "Stochastic Treatment Choice with Empirical Welfare Updating," Papers 2211.01537, arXiv.org, revised Feb 2023.
    18. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    19. Yu-Chang Chen & Haitian Xie, 2022. "Personalized Subsidy Rules," Papers 2202.13545, arXiv.org, revised Mar 2022.
    20. Juliano Assuncao & Robert McMillan & Joshua Murphy & Eduardo Souza-Rodrigues, 2019. "Optimal Environmental Targeting in the Amazon Rainforest," Working Papers tecipa-631, University of Toronto, Department of Economics.
    21. Amanda Dahlstrand, 2022. "Defying distance? The provision of services in the digital age," CEP Discussion Papers dp1889, Centre for Economic Performance, LSE.
    22. 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.
    23. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.

  18. Kasy, Maximilian, "undated". "Instrumental variables with unrestricted heterogeneity and continuous treatment - DON'T CITE! SEE ERRATUM BELOW," Working Paper 33257, Harvard University OpenScholar.

    Cited by:

    1. Ismael Mourifie & Yuanyuan Wan, 2014. "Testing Local Average Treatment Effect Assumptions," Working Papers tecipa-514, University of Toronto, Department of Economics.
    2. 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.
    3. Deuchert, Eva & Huber, Martin, 2014. "A cautionary tale about control variables in IV estimation," FSES Working Papers 453, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

  19. Kasy, Maximilian, "undated". "Why Experimenters Might Not Always Want to Randomize, and What They Could Do Instead," Working Paper 36154, Harvard University OpenScholar.

    Cited by:

    1. Abhijit Banerjee & Sylvain Chassang & Erik Snowberg, 2016. "Decision Theoretic Approaches to Experiment Design and External Validity," NBER Working Papers 22167, National Bureau of Economic Research, Inc.
    2. Riener, Gerhard & Schneider, Sebastian & Wagner, Valentin, 2020. "Addressing validity and generalizability concerns in field experiments," DICE Discussion Papers 345, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    3. Davide Viviano, 2020. "Experimental Design under Network Interference," Papers 2003.08421, arXiv.org, revised Jul 2022.
    4. Resnjanskij, Sven & Ruhose, Jens & Wiederhold, Simon & Wößmann, Ludger, 2021. "Can Mentoring Alleviate Family Disadvantage in Adolescence? A Field Experiment to Improve Labor-Market Prospects," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242341, Verein für Socialpolitik / German Economic Association.
    5. Carneiro, Pedro & Lee, Sokbae & Wilhelm, Daniel, 2016. "Optimal Data Collection for Randomized Control Trials," IZA Discussion Papers 9908, Institute of Labor Economics (IZA).
    6. Aufenanger, Tobias, 2017. "Machine learning to improve experimental design," FAU Discussion Papers in Economics 16/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, revised 2017.
    7. 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.
    8. 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.
    9. Roland G. Fryer, Jr, 2013. "Information and Student Achievement: Evidence from a Cellular Phone Experiment," NBER Working Papers 19113, National Bureau of Economic Research, Inc.
    10. Angus Deaton & Nancy Cartwright, 2016. "Understanding and Misunderstanding Randomized Controlled Trials," Working Papers august_25.pdf, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    11. Yiping Lu & Jiajin Li & Lexing Ying & Jose Blanchet, 2022. "Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls," Papers 2211.15241, arXiv.org.
    12. Justman, Moshe, 2018. "Randomized controlled trials informing public policy: Lessons from project STAR and class size reduction," European Journal of Political Economy, Elsevier, vol. 54(C), pages 167-174.
    13. Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927, Cowles Foundation for Research in Economics, Yale University.
    14. Abhijit Banerjee & Sylvain Chassang & Sergio Montero & Erik Snowberg, 2017. "A Theory of Experimenters," NBER Working Papers 23867, National Bureau of Economic Research, Inc.
    15. Esposito Acosta,Bruno Nicola & Sautmann,Anja, 2022. "Adaptive Experiments for Policy Choice : Phone Calls for Home Reading in Kenya," Policy Research Working Paper Series 10098, The World Bank.
    16. Jinglong Zhao, 2024. "Experimental Design For Causal Inference Through An Optimization Lens," Papers 2408.09607, arXiv.org, revised Aug 2024.
    17. Yusuke Narita, 2019. "Experiment-as-Market: Incorporating Welfare into Randomized Controlled Trials," Working Papers 2019-025, Human Capital and Economic Opportunity Working Group.
    18. Drazen, Allan & Dreber, Anna & Ozbay, Erkut Y. & Snowberg, Erik, 2021. "Journal-based replication of experiments: An application to “Being Chosen to Lead”," Journal of Public Economics, Elsevier, vol. 202(C).
    19. Moshe Justman, 2016. "Economic Research and Education Policy: Project STAR and Class Size Reduction," Melbourne Institute Working Paper Series wp2016n37, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    20. Bai, Yuehao, 2023. "Why randomize? Minimax optimality under permutation invariance," Journal of Econometrics, Elsevier, vol. 232(2), pages 565-575.
    21. Max Cytrynbaum, 2021. "Optimal Stratification of Survey Experiments," Papers 2111.08157, arXiv.org, revised Aug 2023.
    22. Ottaviani, Marco & Di Tillio, Alfredo & Sørensen, Peter Norman, 2017. "Strategic Sample Selection," CEPR Discussion Papers 12202, C.E.P.R. Discussion Papers.
    23. Mogues, Tewodaj & Van Campenhout, Bjorn & Miehe, Caroline & Kabunga, Nassul, 2023. "The impact of community-based monitoring on public service delivery: A randomized control trial in Uganda," World Development, Elsevier, vol. 172(C).
    24. Fryer, Roland G., 2016. "Information, non-financial incentives, and student achievement: Evidence from a text messaging experiment," Journal of Public Economics, Elsevier, vol. 144(C), pages 109-121.
    25. 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.

  20. Kasy, Maximilian, "undated". "Nonparametric inference on the number of equilibria," Working Paper 32847, Harvard University OpenScholar.

    Cited by:

    1. Kasy, Maximilian, "undated". "Identification in a model of sorting with social externalities and the causes of urban segregation," Working Paper 32848, Harvard University OpenScholar.
    2. Áureo de Paula, 2013. "Econometric Analysis of Games with Multiple Equilibria," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 107-131, May.

  21. Kasy, Maximilian & Ramos-Chaves, Alvaro, "undated". "The impact of changing family structures on the income distribution among Costa Rican women 1993-2009," Working Paper 32852, Harvard University OpenScholar.

    Cited by:

    1. Ahmad Fahme Mohd Ali & W.A. Amir Zal & Nurhanan Ab. Hamid & Tengku Fauzan Tengku Anuar & Hafizi Mat Salleh & Siti Asma Md. Rasdi, 2022. "The Moderating Effect of zakāh Distribution on the Economic Well-being of the Poor: An Analysis in Kelantan, Malaysia التأثير المعتدل لتوزيع الزكاة على الرفاهية الاقتصادية للفقراء: تحليل من ولاية كلان," Journal of King Abdulaziz University: Islamic Economics, King Abdulaziz University, Islamic Economics Institute., vol. 35(1), pages 75-97, January.

  22. Kasy, Maximilian, "undated". "Identification in a model of sorting with social externalities and the causes of urban segregation," Working Paper 32848, Harvard University OpenScholar.

    Cited by:

    1. Korpi, Martin & Halvarsson, Daniel & Öner, Özge & A.V. Clark, William & Mihaescu, Oana & Östh, John & Bäckman, Olof, 2022. "Native Population Turnover & Emerging Segregation: The Role of Amenities, Crime and Housing," Ratio Working Papers 358, The Ratio Institute.
    2. Jaeger, David A. & Ruist, Joakim & Stuhler, Jan, 2018. "Shift-Share Instruments and the Impact of Immigration," IZA Discussion Papers 11307, Institute of Labor Economics (IZA).
    3. Fernández-Huertas Moraga, Jesús & Ferrer-i-Carbonell, Ada & Saiz, Albert, 2017. "Immigrant Locations and Native Residential Preferences: Emerging Ghettos or New Communities?," IZA Discussion Papers 11143, Institute of Labor Economics (IZA).
    4. Florent Dubois & Christophe Muller, 2017. "Segregation and the Perception of the Minority," AMSE Working Papers 1718, Aix-Marseille School of Economics, France.
    5. Xavier d'Haultfoeuille & Roland Rathelot, 2011. "Measuring Segregation on Small Units : A Partial Identification Analysis," Working Papers 2011-18, Center for Research in Economics and Statistics.
    6. Kollmann, Trevor & Marsiglio, Simone & Suardi, Sandy, 2018. "Racial segregation in the United States since the Great Depression: A dynamic segregation approach," Journal of Housing Economics, Elsevier, vol. 40(C), pages 95-116.

Articles

  1. A Stefano Caria & Grant Gordon & Maximilian Kasy & Simon Quinn & Soha Osman Shami & Alexander Teytelboym, 2024. "An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan," Journal of the European Economic Association, European Economic Association, vol. 22(2), pages 781-836.
    See citations under working paper version above.
  2. Alexander Frankel & Maximilian Kasy, 2022. "Which Findings Should Be Published?," American Economic Journal: Microeconomics, American Economic Association, vol. 14(1), pages 1-38, February.
    See citations under working paper version above.
  3. Maximilian Kasy & Anja Sautmann, 2021. "Adaptive Treatment Assignment in Experiments for Policy Choice," Econometrica, Econometric Society, vol. 89(1), pages 113-132, January.
    See citations under working paper version above.
  4. Maximilian Kasy, 2021. "Of Forking Paths and Tied Hands: Selective Publication of Findings, and What Economists Should Do about It," Journal of Economic Perspectives, American Economic Association, vol. 35(3), pages 175-192, Summer.

    Cited by:

    1. Marianne Saam, 2021. "Überlegungen zu Open Science in der Volkswirtschaftslehre [Reflections on Open Science in Economics]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 101(10), pages 746-747, October.
    2. Guillaume Coqueret, 2023. "Forking paths in financial economics," Papers 2401.08606, arXiv.org.
    3. Page, Lionel & Noussair, Charles & Slonim, Robert, 2021. "The replication crisis, the rise of new research practices and what it means for experimental economics," OSF Preprints 8abyu, Center for Open Science.
    4. Lenka Drazanova & Jérôme Gonnot & Tobias Heidland & Finja Kruger, 2023. "Understanding Differences in Attitudes to Immigration: A Meta-Analysis of Individuallevel Factors," Working Papers 2023-13, CEPII research center.
    5. Grosch, Kerstin & Fischer, Sabine, 2024. "Gender equivalence in overconfidence A large-scale experimental study in a non-WEIRD country," Department for Strategy and Innovation Working Paper Series 02/2024, WU Vienna University of Economics and Business.
    6. Bandiera, Oriana & Parekh, Nidhi & Petrongolo, Barbara & Rao, Michelle, 2021. "Men are from Mars, and women too: a Bayesian meta-analysis of overconfidence experiments," LSE Research Online Documents on Economics 113814, London School of Economics and Political Science, LSE Library.
    7. Patrick Vu, 2022. "Can the Replication Rate Tell Us About Publication Bias?," Papers 2206.15023, arXiv.org, revised Jul 2022.
    8. Vu, Patrick, 2022. "Can the Replication Rate Tell Us About Selective Publication?," I4R Discussion Paper Series 3, The Institute for Replication (I4R).
    9. Jaime Millan-Quijano, Sebastian Pulgarin, 2020. "Oiling up the field. Forced internal displacement and the expansion of palm oil in Colombia," NCID Working Papers 01/2020, Navarra Center for International Development, University of Navarra.
    10. Joakim A. Weill & Matthieu Stigler & Olivier Deschenes & Michael R. Springborn, 2021. "Researchers' Degrees-of-Flexibility and the Credibility of Difference-in-Differences Estimates: Evidence From the Pandemic Policy Evaluations," NBER Working Papers 29550, National Bureau of Economic Research, Inc.
    11. Lenka Dražanová & Jérôme Gonnot & Tobias Heidland & Finja Krüger, 2023. "Which individual-level factors explain public attitudes toward immigration? a meta-analysis," Post-Print hal-04261633, HAL.
    12. Donovan, Stuart & de Graaff, Thomas & Grimes, Arthur & de Groot, Henri L.F. & Maré, David C., 2022. "Cities with forking paths? Agglomeration economies in New Zealand 1976–2018," Regional Science and Urban Economics, Elsevier, vol. 95(C).
    13. Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2022. "The Power of Tests for Detecting $p$-Hacking," Papers 2205.07950, arXiv.org, revised Apr 2024.
    14. Weill, Joakim A. & Stigler, Matthieu & Deschenes, Olivier & Springborn, Michael R., 2021. "COVID-19 Mobility Policies Impacts: How Credible Are Difference-in-Differences Estimates?," IZA Discussion Papers 14682, Institute of Labor Economics (IZA).
    15. Kyle Myers & Wei Yang Tham, 2023. "Money, Time, and Grant Design," Papers 2312.06479, arXiv.org.

  5. Maximilian Kasy & Alexander Teytelboym, 2020. "Adaptive targeted infectious disease testing," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 77-93.
    See citations under working paper version above.
  6. Kasy Maximilian, 2019. "Uniformity and the Delta Method," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-19, January.
    See citations under working paper version above.
  7. Alberto Abadie & Maximilian Kasy, 2019. "Choosing Among Regularized Estimators in Empirical Economics: The Risk of Machine Learning," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 743-762, December.

    Cited by:

    1. Timothy B. Armstrong & Michal Kolesár & Mikkel Plagborg-Møller, 2022. "Robust Empirical Bayes Confidence Intervals," Working Papers 2022-27, Princeton University. Economics Department..
    2. Julien Chevallier & Dominique Guégan & Stéphane Goutte, 2021. "Is It Possible to Forecast the Price of Bitcoin?," Forecasting, MDPI, vol. 3(2), pages 1-44, May.
    3. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stephane Surprenant, 2020. "How is Machine Learning Useful for Macroeconomic Forecasting?," Working Papers 20-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Aug 2020.
    4. Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio, 2017. "Economic Predictions with Big Data: The Illusion Of Sparsity," CEPR Discussion Papers 12256, C.E.P.R. Discussion Papers.
    5. Mike Gilraine & Jiaying Gu & Robert McMillan, 2022. "A Nonparametric Approach for Studying Teacher Impacts," Working Papers tecipa-716, University of Toronto, Department of Economics.
    6. Christopher Walters, 2024. "Empirical Bayes Methods in Labor Economics," RF Berlin - CReAM Discussion Paper Series 2422, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    7. Giuseppe De Luca & Jan Magnus & Franco Peracchi, 2022. "Asymptotic properties of the weighted average least squares (WALS) estimator," Tinbergen Institute Discussion Papers 22-022/III, Tinbergen Institute.
    8. Michael Gilraine & Jiaying Gu & Robert McMillan, 2020. "A New Method for Estimating Teacher Value-Added," NBER Working Papers 27094, National Bureau of Economic Research, Inc.
    9. Zhaoxing Gao & Ruey S. Tsay, 2024. "Optimal Bias-Correction and Valid Inference in High-Dimensional Ridge Regression: A Closed-Form Solution," Papers 2405.00424, arXiv.org, revised Jul 2024.
    10. Michael Gilraine & Jiaying Gu & Robert McMillan, 2021. "A Nonparametric Method for Estimating Teacher Value-Added," Working Papers tecipa-689, University of Toronto, Department of Economics.
    11. Akbas, Ozan E. & Betz, Frank & Gattini, Luca, 2023. "Quantifying credit gaps using survey data on discouraged borrowers," EIB Working Papers 2023/06, European Investment Bank (EIB).
    12. Isaiah Andrews & Jesse M. Shapiro, 2021. "A Model of Scientific Communication," Econometrica, Econometric Society, vol. 89(5), pages 2117-2142, September.
    13. Altındağ, Onur & O'Connell, Stephen D. & Şaşmaz, Aytuğ & Balcıoğlu, Zeynep & Cadoni, Paola & Jerneck, Matilda & Foong, Aimee Kunze, 2021. "Targeting humanitarian aid using administrative data: Model design and validation," Journal of Development Economics, Elsevier, vol. 148(C).
    14. Tatiana de Macedo Nogueira Lima, 2022. "Documento de Trabalho 03/2022 - Aprendizado de máquina e antitruste," Documentos de Trabalho 2022030, Conselho Administrativo de Defesa Econômica (Cade), Departamento de Estudos Econômicos.
    15. Coraggio, Luca & Pagano, Marco & Scognamiglio, Annalisa & TÃ¥g, Joacim, 2022. "JAQ of All Trades: Job Mismatch, Firm Productivity and Managerial Quality," CEPR Discussion Papers 17167, C.E.P.R. Discussion Papers.
    16. Tibor Szendrei & Arnab Bhattacharjee & Mark E. Schaffer, 2024. "Fused LASSO as Non-Crossing Quantile Regression," Papers 2403.14036, arXiv.org, revised Aug 2024.
    17. Georges, Christophre & Pereira, Javier, 2021. "Market stability with machine learning agents," Journal of Economic Dynamics and Control, Elsevier, vol. 122(C).
    18. Battiston, Pietro & Gamba, Simona & Santoro, Alessandro, 2024. "Machine learning and the optimization of prediction-based policies," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    19. Jan Niederreiter, 2023. "Broadening Economics in the Era of Artificial Intelligence and Experimental Evidence," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(1), pages 265-294, March.
    20. Brian Asquith & Judith K. Hellerstein & Mark J. Kutzbach & David Neumark, 2021. "Social capital determinants and labor market networks," Journal of Regional Science, Wiley Blackwell, vol. 61(1), pages 212-260, January.

  8. Pirmin Fessler & Maximilian Kasy, 2019. "How to Use Economic Theory to Improve Estimators: Shrinking Toward Theoretical Restrictions," The Review of Economics and Statistics, MIT Press, vol. 101(4), pages 681-698, October.

    Cited by:

    1. Chaney, Eric, 2020. "Modern Library Holdings and Historic City Growth," CEPR Discussion Papers 14686, C.E.P.R. Discussion Papers.
    2. Loria, Francesca & Matthes, Christian & Wang, Mu-Chun, 2022. "Economic theories and macroeconomic reality," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 105-117.
    3. Adam N. Smith & Jim E. Griffin, 2023. "Shrinkage priors for high-dimensional demand estimation," Quantitative Marketing and Economics (QME), Springer, vol. 21(1), pages 95-146, March.
    4. Ho, Paul, 2023. "Global robust Bayesian analysis in large models," Journal of Econometrics, Elsevier, vol. 235(2), pages 608-642.
    5. Jiaming Mao & Zhesheng Zheng, 2020. "Structural Regularization," Papers 2004.12601, arXiv.org, revised Jun 2020.
    6. Sebastiaan Maes & Raghav Malhotra, 2024. "Beyond the Mean: Testing Consumer Rationality through Higher Moments of Demand," Papers 2407.01538, arXiv.org.
    7. Jiaming Mao & Jingzhi Xu, 2020. "Ensemble Learning with Statistical and Structural Models," Papers 2006.05308, arXiv.org.
    8. 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.
    9. Roy Allen & John Rehbeck, 2020. "Counterfactual and Welfare Analysis with an Approximate Model," Papers 2009.03379, arXiv.org.
    10. Maes, Sebastiaan & Malhotra, Raghav, 2024. "Beyond the Mean : Testing Consumer Rationality through Higher Moments of Demand," CRETA Online Discussion Paper Series 85, Centre for Research in Economic Theory and its Applications CRETA.
    11. Edvard Bakhitov, 2020. "Frequentist Shrinkage under Inequality Constraints," Papers 2001.10586, arXiv.org.

  9. Isaiah Andrews & Maximilian Kasy, 2019. "Identification of and Correction for Publication Bias," American Economic Review, American Economic Association, vol. 109(8), pages 2766-2794, August.
    See citations under working paper version above.
  10. Pirmin Fessler & Maximilian Kasy & Peter Lindner, 2018. "Survey mode effects on measured income inequality," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(4), pages 487-505, December.

    Cited by:

    1. Laurence, James & McGinnity, Frances & Murphy, Keire, 2024. "Attitudes towards immigration and refugees in Ireland: Understanding recent trends and drivers," Research Series, Economic and Social Research Institute (ESRI), number JR5.
    2. Martin Ravallion, 2018. "What might explain today's conflicting narratives on global inequality?," WIDER Working Paper Series wp-2018-141, World Institute for Development Economic Research (UNU-WIDER).
    3. Joseph W. Sakshaug & Jonas Beste & Mark Trappmann, 2023. "Effects of mixing modes on nonresponse and measurement error in an economic panel survey," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-16, December.
    4. García-Suaza, A & Lobo, J & Montoya, S & Ordóñez, J & Oviedo, J. D, 2022. "Impact of the collection mode on labor income data. A study in the times of COVID19," Documentos de Trabajo 20396, Universidad del Rosario.

  11. Kasy, Maximilian, 2018. "Optimal taxation and insurance using machine learning — Sufficient statistics and beyond," Journal of Public Economics, Elsevier, vol. 167(C), pages 205-219.

    Cited by:

    1. Liyang Tang, 2020. "Application of Nonlinear Autoregressive with Exogenous Input (NARX) neural network in macroeconomic forecasting, national goal setting and global competitiveness assessment," Papers 2005.08735, arXiv.org.
    2. Nicolo Cesa-Bianchi & Roberto Colomboni & Maximilian Kasy, 2023. "Adaptive maximization of social welfare," Papers 2310.09597, arXiv.org, revised Jul 2024.
    3. A. Stefano Caria & Grant Gordon & Maximilian Kasy & Simon Quinn & Soha Shami & Alexander Teytelboym, 2020. "An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan," CSAE Working Paper Series 2020-20, Centre for the Study of African Economies, University of Oxford.
    4. Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised May 2024.
    5. Christoph Breunig & Ruixuan Liu & Zhengfei Yu, 2022. "Double Robust Bayesian Inference on Average Treatment Effects," Papers 2211.16298, arXiv.org, revised Oct 2024.

  12. Stefan Hoderlein & Hajo Holzmann & Maximilian Kasy & Alexander Meister, 2017. "Corrigendum: Instrumental Variables with Unrestricted Heterogeneity and Continuous Treatment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(2), pages 964-968.

    Cited by:

    1. Gunsilius, Florian F., 2023. "A condition for the identification of multivariate models with binary instruments," Journal of Econometrics, Elsevier, vol. 235(1), pages 220-238.
    2. Nir Billfeld & Moshe Kim, 2024. "Context-dependent Causality (the Non-Nonotonic Case)," Papers 2404.05021, arXiv.org.

  13. Maximilian Kasy, 2016. "Partial Identification, Distributional Preferences, and the Welfare Ranking of Policies," The Review of Economics and Statistics, MIT Press, vol. 98(1), pages 111-131, March.
    See citations under working paper version above.
  14. Kasy, Maximilian, 2016. "Why Experimenters Might Not Always Want to Randomize, and What They Could Do Instead," Political Analysis, Cambridge University Press, vol. 24(3), pages 324-338, July.
    See citations under working paper version above.
  15. Kasy, Maximilian, 2015. "Identification in a model of sorting with social externalities and the causes of urban segregation," Journal of Urban Economics, Elsevier, vol. 85(C), pages 16-33.
    See citations under working paper version above.
  16. Maximilian Kasy, 2015. "Non‐parametric inference on the number of equilibria," Econometrics Journal, Royal Economic Society, vol. 18(1), pages 1-39, February.
    See citations under working paper version above.
  17. Maximilian Kasy, 2014. "Instrumental Variables with Unrestricted Heterogeneity and Continuous Treatment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1614-1636.

    Cited by:

    1. Gunsilius, Florian F., 2023. "A condition for the identification of multivariate models with binary instruments," Journal of Econometrics, Elsevier, vol. 235(1), pages 220-238.
    2. Stefan Hoderlein & Hajo Holzmann & Alexander Meister, 2015. "The triangular model with random coefficients," CeMMAP working papers CWP33/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Stefan Hoderlein & Hajo Holzmann & Maximilian Kasy & Alexander Meister, 2015. "Erratum regarding “Instrumental variables with unrestricted heterogeneity and continuous treatment”," Boston College Working Papers in Economics 896, Boston College Department of Economics, revised 01 Feb 2016.
    8. Carolina Caetano & Juan Carlos Escaniano, 2015. "Identifying Multiple Marginal Effects with a Single Binary Instrument or by Regression Discontinuity," CAEPR Working Papers 2015-009, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    9. Chen, Songnian & Wang, Xi, 2018. "Semiparametric estimation of panel data models without monotonicity or separability," Journal of Econometrics, Elsevier, vol. 206(2), pages 515-530.
    10. Florian Gunsilius, 2018. "Point-identification in multivariate nonseparable triangular models," Papers 1806.09680, arXiv.org.
    11. Brendan Kline, 2016. "Identification of the Direction of a Causal Effect by Instrumental Variables," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 176-184, April.
    12. Songnian Chen & Shakeeb Khan & Xun Tang, 2022. "Endogeneity in Weakly Separable Models without Monotonicity," Papers 2208.05047, arXiv.org.
    13. Stefan Hoderlein & Hajo Holzmann & Maximilian Kasy & Alexander Meister, 2017. "Corrigendum: Instrumental Variables with Unrestricted Heterogeneity and Continuous Treatment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(2), pages 964-968.
    14. Huntington-Klein Nick, 2020. "Instruments with Heterogeneous Effects: Bias, Monotonicity, and Localness," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 182-208, January.
    15. Demuynck, T., 2015. "The homogeneous marginal utility of income assumption," Research Memorandum 013, Maastricht University, Graduate School of Business and Economics (GSBE).

  18. Maximilian Kasy & Alvaro Ramos-Chaves, 2014. "The Impact of Changing Family Structures on the Income Distribution among Costa Rican Women 1993-2009," Feminist Economics, Taylor & Francis Journals, vol. 20(2), pages 122-144, April.
    See citations under working paper version above.
  19. Kasy, Maximilian, 2011. "A nonparametric test for path dependence in discrete panel data," Economics Letters, Elsevier, vol. 113(2), pages 172-175.

    Cited by:

    1. Tsekouras, Kostas & Chatzistamoulou, Nikos & Kounetas, Kostas & Broadstock, David C., 2016. "Spillovers, path dependence and the productive performance of European transportation sectors in the presence of technology heterogeneity," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 261-274.
    2. Marc A. Scott & Jean-Marie Goff & Jacques-Antoine Gauthier, 2024. "History matters: the statistical modelling of the life course," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 445-469, February.
    3. Nikos Chatzistamoulou & Phoebe Koundouri, 2024. "Is Green Transition in Europe Fostered by Energy and Environmental Efficiency Feedback Loops? The Role of Eco-Innovation, Renewable Energy and Green Taxation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(6), pages 1445-1472, June.
    4. Areti Gkypali & Kostas Kounetas & Kostas Tsekouras, 2019. "European countries’ competitiveness and productive performance evolution: unraveling the complexity in a heterogeneity context," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 665-695, April.
    5. Chatzistamoulou, Nikos & Kounetas, Kostas & Tsekouras, Kostas, 2022. "Technological hierarchies and learning: Spillovers, complexity, relatedness, and the moderating role of absorptive capacity," Technological Forecasting and Social Change, Elsevier, vol. 183(C).

  20. Kasy, Maximilian, 2011. "Identification In Triangular Systems Using Control Functions," Econometric Theory, Cambridge University Press, vol. 27(3), pages 663-671, June.

    Cited by:

    1. Sam Cosaert & Thomas Demuynck, 2018. "Nonparametric welfare and demand analysis with unobserved individual heterogeneity," ULB Institutional Repository 2013/251988, ULB -- Universite Libre de Bruxelles.
    2. Stefan Hoderlein & Hajo Holzmann & Alexander Meister, 2015. "The triangular model with random coefficients," CeMMAP working papers CWP33/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Hoderlein, Stefan & Su, Liangjun & White, Halbert & Yang, Thomas Tao, 2016. "Testing for monotonicity in unobservables under unconfoundedness," Journal of Econometrics, Elsevier, vol. 193(1), pages 183-202.
    4. 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.
    5. Kim Kyoo il & Petrin Amil, 2022. "A Generalized Non-Parametric Instrumental Variable-Control Function Approach to Estimation in Nonlinear Settings," Journal of Econometric Methods, De Gruyter, vol. 11(1), pages 91-125, January.
    6. Denis Chetverikov & Daniel Wilhelm, 2016. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers 48/16, Institute for Fiscal Studies.
    7. Kasy, Maximilian, "undated". "Instrumental variables with unrestricted heterogeneity and continuous treatment - DON'T CITE! SEE ERRATUM BELOW," Working Paper 33257, Harvard University OpenScholar.
    8. 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.
    9. Mourifié, Ismael, 2015. "Sharp bounds on treatment effects in a binary triangular system," Journal of Econometrics, Elsevier, vol. 187(1), pages 74-81.
    10. Eric Gautier & Stefan Hoderlein, 2012. "A triangular treatment effect model with random coefficients in the selection equation," CeMMAP working papers CWP39/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Stefan Hoderlein & Hajo Holzmann & Maximilian Kasy & Alexander Meister, 2015. "Erratum regarding “Instrumental variables with unrestricted heterogeneity and continuous treatment”," Boston College Working Papers in Economics 896, Boston College Department of Economics, revised 01 Feb 2016.
    12. Alyssa Carlson, 2021. "Relaxing Conditional Independence in an Endogenous Binary Response Model," Working Papers 2113, Department of Economics, University of Missouri.
    13. Ming Li, 2021. "Identification and Estimation in a Time-Varying Endogenous Random Coefficient Panel Data Model," Papers 2110.00982, arXiv.org, revised Nov 2024.
    14. Jun, Sung Jae & Pinkse, Joris, 2020. "Counterfactual prediction in complete information games: Point prediction under partial identification," Journal of Econometrics, Elsevier, vol. 216(2), pages 394-429.
    15. Kasy, Maximilian, 2022. "Who wins, who loses? Identification of conditional causal effects, and the welfare impact of changing wages," Journal of Econometrics, Elsevier, vol. 226(1), pages 155-170.
    16. Tadao Hoshino, 2021. "Estimating a Continuous Treatment Model with Spillovers: A Control Function Approach," Papers 2112.15114, arXiv.org, revised Jan 2023.
    17. Caetano, Carolina & Rothe, Christoph & Yıldız, Neşe, 2016. "A discontinuity test for identification in triangular nonseparable models," Journal of Econometrics, Elsevier, vol. 193(1), pages 113-122.
    18. D’Haultfœuille, Xavier & Hoderlein, Stefan & Sasaki, Yuya, 2023. "Nonparametric difference-in-differences in repeated cross-sections with continuous treatments," Journal of Econometrics, Elsevier, vol. 234(2), pages 664-690.
    19. Maximilian Kasy, 2014. "Instrumental Variables with Unrestricted Heterogeneity and Continuous Treatment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1614-1636.
    20. Amaresh K Tiwari, 2021. "A Control Function Approach to Estimate Panel Data Binary Response Model," Papers 2102.12927, arXiv.org, revised Sep 2021.
    21. Tsionas, Mike G., 2022. "Convex non-parametric least squares, causal structures and productivity," European Journal of Operational Research, Elsevier, vol. 303(1), pages 370-387.
    22. Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers 39/15, Institute for Fiscal Studies.
    23. David Powell, 2020. "Quantile Treatment Effects in the Presence of Covariates," The Review of Economics and Statistics, MIT Press, vol. 102(5), pages 994-1005, December.

  21. Kasy Maximilian, 2009. "Semiparametrically Efficient Estimation of Conditional Instrumental Variables Parameters," The International Journal of Biostatistics, De Gruyter, vol. 5(1), pages 1-25, June.

    Cited by:

    1. Kara E. Rudolph & Iván Díaz, 2022. "When the ends do not justify the means: Learning who is predicted to have harmful indirect effects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 573-589, December.
    2. Carolina Caetano & Juan Carlos Escaniano, 2015. "Identifying Multiple Marginal Effects with a Single Binary Instrument or by Regression Discontinuity," CAEPR Working Papers 2015-009, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.

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