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Maximilian Kasy

Personal Details

First Name:Maximilian
Middle Name:
Last Name:Kasy
Suffix:
RePEc Short-ID:pka876
https://maxkasy.github.io/home/
Twitter: @maxkasy

Affiliation

Department of Economics
Harvard University

Cambridge, Massachusetts (United States)
http://www.economics.harvard.edu/

: 617-495-2144
617-495-7730
Littauer Center, Cambridge, MA 02138
RePEc:edi:deharus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Maximilian Kasy & Alex Teytelboym, 2020. "Adaptive Targeted Infectious Disease Testing," Economics Series Working Papers 907, University of Oxford, Department of Economics.
  2. Maximilian Kasy & Anja Sautmann, 2019. "Adaptive Treatment Assignment in Experiments for Policy Choice," CESifo Working Paper Series 7778, CESifo.
  3. Kasy, Maximilian, 2019. "Selective publication of findings: Why does it matter, and what should we do about it?," MetaArXiv xwngs, Center for Open Science.
  4. Kasy, Maximilian & Frankel, Alexander, 2018. "Which findings should be published?," MetaArXiv mbvz3, Center for Open Science.
  5. Isaiah Andrews & Maximilian Kasy, 2017. "Identification of and Correction for Publication Bias," NBER Working Papers 23298, National Bureau of Economic Research, Inc.
  6. Pirmin Fessler & Kasy, Maximilian, 2017. "How to use economic theory to improve estimators," Working Paper 309271, Harvard University OpenScholar.
  7. Alberto Abadie & Kasy, Maximilian, 2017. "The risk of machine learning," Working Paper 383316, Harvard University OpenScholar.
  8. Kasy, Maximilian, 2017. "Optimal taxation and insurance using machine learning," Working Paper 56221, Harvard University OpenScholar.
  9. 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.
  10. Kasy, Maximilian, 2015. "Uniformity and the delta method," Working Paper 197561, Harvard University OpenScholar.
  11. Kasy, Maximilian & Pirmin Fessler, 2015. "Labor demand and wage inequality in Europe - an empirical Bayes approach," Working Paper 242991, Harvard University OpenScholar.
  12. Kasy, Maximilian, 2014. "Who wins, who loses? Tools for distributional policy evaluation," Working Paper 143126, Harvard University OpenScholar.
  13. Kasy, Maximilian, 2012. "Intergenerational mobility and optimal income taxation," Working Paper 32851, Harvard University OpenScholar.
  14. Pirmin Fessler & Kasy, Maximilian & Peter Lindner, 2012. "Survey mode effects on income inequality measurement," Working Paper 48766, Harvard University OpenScholar.
  15. Kasy, Maximilian, "undated". "Partial identification, distributional preferences, and the welfare ranking of policies," Working Paper 32846, Harvard University OpenScholar.
  16. Kasy, Maximilian, "undated". "Instrumental variables with unrestricted heterogeneity and continuous treatment - DON'T CITE! SEE ERRATUM BELOW," Working Paper 33257, Harvard University OpenScholar.
  17. Kasy, Maximilian, "undated". "Why Experimenters Might Not Always Want to Randomize, and What They Could Do Instead," Working Paper 36154, Harvard University OpenScholar.
  18. Kasy, Maximilian, "undated". "Nonparametric inference on the number of equilibria," Working Paper 32847, Harvard University OpenScholar.
  19. Kasy, Maximilian, "undated". "Normative individualism and research on inequality," Working Paper 470461, Harvard University OpenScholar.
  20. 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.
  21. Kasy, Maximilian, "undated". "Identification in a model of sorting with social externalities and the causes of urban segregation," Working Paper 32848, Harvard University OpenScholar.

Articles

  1. Kasy Maximilian, 2019. "Uniformity and the Delta Method," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-19, January.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. Stefan Hoderlein & Hajo Holzmann & Maximilian Kasy & Alexander Meister, 2017. "Corrigendum: Instrumental Variables with Unrestricted Heterogeneity and Continuous Treatment," Review of Economic Studies, Oxford University Press, vol. 84(2), pages 964-968.
  8. 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.
  9. 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.
  10. 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.
  11. Maximilian Kasy, 2015. "Non‐parametric inference on the number of equilibria," Econometrics Journal, Royal Economic Society, vol. 18(1), pages 1-39, February.
  12. Maximilian Kasy, 2014. "Instrumental Variables with Unrestricted Heterogeneity and Continuous Treatment," Review of Economic Studies, Oxford University Press, vol. 81(4), pages 1614-1636.
  13. 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.
  14. Kasy, Maximilian, 2011. "A nonparametric test for path dependence in discrete panel data," Economics Letters, Elsevier, vol. 113(2), pages 172-175.
  15. Kasy, Maximilian, 2011. "Identification In Triangular Systems Using Control Functions," Econometric Theory, Cambridge University Press, vol. 27(3), pages 663-671, June.
  16. 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.

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

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

    Cited by:

    1. Battistin, Erich & De Nadai, Michele & Krishnan, Nandini, 2020. "The Insights and Illusions of Consumption Measurements," IZA Discussion Papers 13222, Institute of Labor Economics (IZA).
    2. Arthur Charpentier & Romuald Elie & Carl Remlinger, 2020. "Reinforcement Learning in Economics and Finance," Papers 2003.10014, arXiv.org.
    3. Caio Waisman & Harikesh S. Nair & Carlos Carrion & Nan Xu, 2019. "Online Inference for Advertising Auctions," Papers 1908.08600, arXiv.org.
    4. Maximilian Kasy & Alex Teytelboym, 2020. "Adaptive Targeted Infectious Disease Testing," Economics Series Working Papers 907, University of Oxford, Department of Economics.

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

    Cited by:

    1. Isaiah Andrews & Jesse M. Shapiro, 2020. "A Model of Scientific Communication," NBER Working Papers 26824, National Bureau of Economic Research, Inc.

  3. Isaiah Andrews & Maximilian Kasy, 2017. "Identification of and Correction for Publication Bias," NBER Working Papers 23298, National Bureau of Economic Research, Inc.

    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Andrew Y. Chen & Thomas Zimmermann, 2018. "Publication Bias and the Cross-Section of Stock Returns," Finance and Economics Discussion Series 2018-033, Board of Governors of the Federal Reserve System (U.S.).
    5. Sanghyun Hong & W. Robert Reed, 2019. "A Performance Analysis of Some New Meta-Analysis Estimators Designed to Correct Publication Bias," Working Papers in Economics 19/04, University of Canterbury, Department of Economics and Finance.
    6. Matousek, Jindrich & Havranek, Tomas & Irsova, Zuzana, 2019. "Individual Discount Rates: A Meta-Analysis of Experimental Evidence," EconStor Preprints 194617, ZBW - Leibniz Information Centre for Economics.
    7. Mojmir Hampl & Tomas Havranek, 2018. "Central Bank Capital as an Instrument of Monetary Policy," Working Papers IES 2018/25, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2018.
    8. Cristina Blanco-Perez & Abel Brodeur, 2019. "Publication Bias and Editorial Statement on Negative Findings," Working Papers 1907E, University of Ottawa, Department of Economics.
    9. Omar Al-Ubaydli & John List & Claire Mackevicius & Min Sok Lee & Dana Suskind, 2019. "How Can Experiments Play a Greater Role in Public Policy? 12 Proposals from an Economic Model of Scaling," Artefactual Field Experiments 00679, The Field Experiments Website.
    10. Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2019. "Detecting p-hacking," Papers 1906.06711, arXiv.org, revised Jun 2020.
    11. Luigi Butera & Philip Grossman & Daniel Houser & John List & Marie Villeval, 2020. "A New Mechanism to Alleviate the Crises of Confidence in Science With An Application to the Public Goods GameA Review," Working Papers halshs-02512932, HAL.
    12. Alberto Abadie, 2018. "Statistical Non-Significance in Empirical Economics," NBER Working Papers 24403, National Bureau of Economic Research, Inc.
    13. Abel Brodeur & Nikolai Cook & Anthony Heyes, 2018. "Methods Matter: P-Hacking and Causal Inference in Economics," Working Papers 1809E, University of Ottawa, Department of Economics.
    14. Stanley, T. D. & Doucouliagos, Chris, 2019. "Practical Significance, Meta-Analysis and the Credibility of Economics," IZA Discussion Papers 12458, Institute of Labor Economics (IZA).
    15. Samangi Bandaranayake & Kuntal K. Das & W. Robert Reed, 2019. "Another Look at “Bank Competition and Financial Stability: Much Ado about Nothing?”," Working Papers in Economics 19/08, University of Canterbury, Department of Economics and Finance.
    16. 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.
    17. Sanghyun Hong & W. Robert Reed & Bifei Tian & Tingting Wu & Gen Chen, 2019. "Does FDI Promote Entrepreneurial Activities? A Meta-Analysis," Working Papers in Economics 19/06, University of Canterbury, Department of Economics and Finance.
    18. Xindong Xue & W. Robert Reed & Andrea K. Menclova, 2019. "Social Capital and Health: A Meta-Analysis," Working Papers in Economics 19/18, University of Canterbury, Department of Economics and Finance.
    19. Christopher Snyder & Ran Zhuo, 2018. "Sniff Tests in Economics: Aggregate Distribution of Their Probability Values and Implications for Publication Bias," NBER Working Papers 25058, National Bureau of Economic Research, Inc.
    20. Cazachevici, Alina & Havranek, Tomas & Horvath, Roman, 2019. "Remittances and Economic Growth: A Quantitative Survey," MPRA Paper 96823, University Library of Munich, Germany.
    21. Furukawa, Chishio, 2019. "Publication Bias under Aggregation Frictions: Theory, Evidence, and a New Correction Method," EconStor Preprints 194798, ZBW - Leibniz Information Centre for Economics.
    22. Antinyan, Armenak & Asatryan, Zareh, 2019. "Nudging for tax compliance: A meta-analysis," ZEW Discussion Papers 19-055, ZEW - Leibniz Centre for European Economic Research.
    23. Luigi Butera & Philip J. Grossman & Daniel Houser & John A. List & Marie Claire Villeval, 2020. "A New Mechanism to Alleviate the Crises of Con?dence in Science With An Application to the Public Goods Game," Working Papers 2011, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    24. Ugur, Mehmet & Churchill, Sefa Awaworyi & Luong, Hoang M., 2020. "What do we know about R&D spillovers and productivity? Meta-analysis evidence on heterogeneity and statistical power," Research Policy, Elsevier, vol. 49(1).
    25. Ugur, Mehmet & Churchill, Sefa Awaworyi & Luong, Hoang M., 2019. "What do we know about R&D spillovers and productivity? Meta-analysis evidence on heterogeneity and statistical power," Greenwich Papers in Political Economy 25423, University of Greenwich, Greenwich Political Economy Research Centre.
    26. Kvarven, Amanda & Strømland, Eirik & Johannesson, Magnus, 2019. "Identification of and Correction for Publication Bias: Comment," MetaArXiv dh87m, Center for Open Science.
    27. Mojmir Hampl & Tomas Havranek, 2018. "Central Bank Financial Strength and Inflation: A Meta-Analysis," Research and Policy Notes 2018/01, Czech National Bank.
    28. Sanghyun Hong & W. Robert Reed, 2019. "Towards an Experimental Framework for Assessing Meta-Analysis Methods, with a Focus on Andrews-Kasy Estimators," Working Papers in Economics 19/13, University of Canterbury, Department of Economics and Finance.
    29. Doucouliagos, Chris & Hinz, Thomas & Zigova, Katarina, 2020. "Bias and Careers: Evidence from the Aid Effectiveness Literature," IZA Discussion Papers 13287, Institute of Labor Economics (IZA).

  4. 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 2018.
    3. Keisuke Hirano & Jack R. Porter, 2016. "Panel Asymptotics and Statistical Decision Theory," The Japanese Economic Review, Japanese Economic Association, vol. 67(1), pages 33-49, March.
    4. St'ephane Bonhomme & Martin Weidner, 2019. "Posterior Average Effects," Papers 1906.06360, arXiv.org, revised Feb 2020.
    5. Tommasi, Denni & Wolf, Alexander, 2018. "Estimating household resource shares: A shrinkage approach," Economics Letters, Elsevier, vol. 163(C), pages 75-78.

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

    Cited by:

    1. Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
    2. 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.
    3. 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.
    4. 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).
    5. Fiona Burlig & Christopher Knittel & David Rapson & Mar Reguant & Catherine Wolfram, 2017. "Machine Learning from Schools about Energy Efficiency," NBER Working Papers 23908, National Bureau of Economic Research, Inc.
    6. St'ephane Bonhomme & Martin Weidner, 2019. "Posterior Average Effects," Papers 1906.06360, arXiv.org, revised Feb 2020.

  6. 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.

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

    Cited by:

    1. Antoine, Bertille & Lavergne, Pascal, 2019. "Identification-Robust Nonparametric Inference in a Linear IV Model," TSE Working Papers 19-1004, Toulouse School of Economics (TSE), revised Mar 2020.
    2. Atsushi Inoue & Lutz Kilian, 2019. "The uniform validity of impulse response inference in autoregressions," Vanderbilt University Department of Economics Working Papers 19-00001, Vanderbilt University Department of Economics.
    3. JoonHwan Cho & Thomas M. Russell, 2018. "Simple Inference on Functionals of Set-Identified Parameters Defined by Linear Moments," Papers 1810.03180, arXiv.org, revised Sep 2019.

  8. 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.

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

    Cited by:

    1. Bulat Gafarov, 2019. "Inference in high-dimensional set-identified affine models," Papers 1904.00111, arXiv.org.
    2. 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.
    3. Susan Athey & Stefan Wager, 2017. "Efficient Policy Learning," Papers 1702.02896, arXiv.org, revised Sep 2019.
    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. JoonHwan Cho & Thomas M. Russell, 2018. "Simple Inference on Functionals of Set-Identified Parameters Defined by Linear Moments," Papers 1810.03180, arXiv.org, revised Sep 2019.
    6. 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.

  10. 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 Mourifié & Yuanyuan Wan, 2017. "Testing Local Average Treatment Effect Assumptions," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 305-313, May.
    2. Frölich, Markus & Huber, Martin, 2014. "Direct and Indirect Treatment Effects: Causal Chains and Mediation Analysis with Instrumental Variables," IZA Discussion Papers 8280, Institute of Labor Economics (IZA).
    3. Deuchert, Eva & Huber, Martin, 2014. "A cautionary tale about control variables in IV estimation," Economics Working Paper Series 1439, University of St. Gallen, School of Economics and Political Science.

  11. 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. 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.
    2. Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927RR, Cowles Foundation for Research in Economics, Yale University, revised Apr 2015.
    3. 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.
    4. Davide Viviano, 2020. "Experimental Design under Network Interference," Papers 2003.08421, arXiv.org, revised Jun 2020.
    5. Aufenanger, Tobias, 2017. "Machine learning to improve experimental design," FAU Discussion Papers in Economics 16/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    6. Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2014.
    7. Yusuke Narita, 2018. "Experiment-as-Market: Incorporating Welfare into Randomized Controlled Trials," Cowles Foundation Discussion Papers 2127r, Cowles Foundation for Research in Economics, Yale University, revised May 2019.
    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. Max Tabord-Meehan, 2018. "Stratification Trees for Adaptive Randomization in Randomized Controlled Trials," Papers 1806.05127, arXiv.org, revised Jun 2020.
    10. 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.
    11. Deaton, Angus & Cartwright, Nancy, 2018. "Understanding and misunderstanding randomized controlled trials," Social Science & Medicine, Elsevier, vol. 210(C), pages 2-21.
    12. 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.
    13. 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.
    14. Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927, Cowles Foundation for Research in Economics, Yale University.
    15. Abhijit Banerjee & Sylvain Chassang & Sergio Montero & Erik Snowberg, 2017. "A Theory of Experimenters," NBER Working Papers 23867, National Bureau of Economic Research, Inc.
    16. Aufenanger, Tobias, 2018. "Treatment allocation for linear models," FAU Discussion Papers in Economics 14/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    17. Yusuke Narita, 2019. "Experiment-as-Market: Incorporating Welfare into Randomized Controlled Trials," Working Papers 2019-025, Human Capital and Economic Opportunity Working Group.

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

    Cited by:

    1. Áureo de Paula, 2013. "Econometric Analysis of Games with Multiple Equilibria," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 107-131, May.

  13. 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. 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.
    2. Florent Dubois & Christophe Muller, 2017. "Segregation and the Perception of the Minority," Working Papers halshs-01520308, HAL.
    3. 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.
    4. 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).
    5. Fernández-Huertas Moraga, Jesús & Ferrer-i-Carbonell, Ada & Saiz, Albert, 2019. "Immigrant locations and native residential preferences: Emerging ghettos or new communities?," Journal of Urban Economics, Elsevier, vol. 112(C), pages 133-151.

Articles

  1. 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.
  2. 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. Isaiah Andrews & Jesse M. Shapiro, 2020. "A Model of Scientific Communication," NBER Working Papers 26824, National Bureau of Economic Research, Inc.

  3. 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. Jiaming Mao & Zhesheng Zheng, 2020. "Structural Regularization," Papers 2004.12601, arXiv.org, revised Jun 2020.
    2. Edvard Bakhitov, 2020. "Frequentist Shrinkage under Inequality Constraints," Papers 2001.10586, arXiv.org.

  4. 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.
  5. 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.

  6. 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:

  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. Maximilian Kasy, 2014. "Instrumental Variables with Unrestricted Heterogeneity and Continuous Treatment," Review of Economic Studies, Oxford University Press, vol. 81(4), pages 1614-1636.

    Cited by:

    1. Frölich, Markus & Huber, Martin, 2014. "Direct and Indirect Treatment Effects: Causal Chains and Mediation Analysis with Instrumental Variables," IZA Discussion Papers 8280, Institute of Labor Economics (IZA).
    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.
    3. 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.
    4. 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.
    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. Florian Gunsilius, 2018. "Point-identification in multivariate nonseparable triangular models," Papers 1806.09680, arXiv.org.
    7. 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.
    8. 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.
    9. 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.
    10. Stefan Hoderlein & Hajo Holzmann & Maximilian Kasy & Alexander Meister, 2017. "Corrigendum: Instrumental Variables with Unrestricted Heterogeneity and Continuous Treatment," Review of Economic Studies, Oxford University Press, vol. 84(2), pages 964-968.
    11. Demuynck T., 2015. "The homogeneous marginal utility of income assumption," Research Memorandum 013, Maastricht University, Graduate School of Business and Economics (GSBE).

  12. 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. 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.

  13. 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. Ismael MOURIFIÉ, 2013. "Sharp Bounds On Treatment Effects In A Binary Triangular System," Working Papers tecipa-498, University of Toronto, Department of Economics.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Gautier, Eric & Hoderlein, Stefan, 2011. "A triangular treatment effect model with random coefficients in the selection equation," TSE Working Papers 15-598, Toulouse School of Economics (TSE), revised 25 Aug 2015.
    9. Kasy, Maximilian, "undated". "Instrumental variables with unrestricted heterogeneity and continuous treatment - DON'T CITE! SEE ERRATUM BELOW," Working Paper 33257, Harvard University OpenScholar.
    10. 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.
    11. Maximilian Kasy, 2014. "Instrumental Variables with Unrestricted Heterogeneity and Continuous Treatment," Review of Economic Studies, Oxford University Press, vol. 81(4), pages 1614-1636.
    12. 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.

  14. 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. 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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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 12 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.
  1. NEP-ECM: Econometrics (5) 2013-12-15 2015-09-05 2016-02-12 2016-04-16 2017-04-30. Author is listed
  2. NEP-DES: Economic Design (1) 2019-11-18
  3. NEP-EXP: Experimental Economics (1) 2019-08-26
  4. NEP-HME: Heterodox Microeconomics (1) 2019-11-18
  5. NEP-HPE: History & Philosophy of Economics (1) 2016-11-20
  6. NEP-PUB: Public Finance (1) 2014-02-08
  7. NEP-SOG: Sociology of Economics (1) 2019-11-18
  8. NEP-URE: Urban & Real Estate Economics (1) 2013-12-15

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