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Bounding the Labor Supply Responses to a Randomized Welfare Experiment: A Revealed Preference Approach

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Cited by:

  1. Andreas R. Kostøl & Andreas S. Myhre, 2021. "Labor Supply Responses to Learning the Tax and Benefit Schedule," American Economic Review, American Economic Association, vol. 111(11), pages 3733-3766, November.
  2. Deuchert, Eva & Eugster, Beatrix, 2019. "Income and substitution effects of a disability insurance reform," Journal of Public Economics, Elsevier, vol. 170(C), pages 1-14.
  3. Hartley, Robert Paul & Lamarche, Carlos, 2018. "Behavioral responses and welfare reform: Evidence from a randomized experiment," Labour Economics, Elsevier, vol. 54(C), pages 135-151.
  4. Pietro Tebaldi & Alexander Torgovitsky & Hanbin Yang, 2023. "Nonparametric Estimates of Demand in the California Health Insurance Exchange," Econometrica, Econometric Society, vol. 91(1), pages 107-146, January.
  5. Lalive, Rafael & Magesan, Arvind & Staubli, Stefan, 2020. "The Impact of Social Security on Pension Claiming and Retirement: Active vs. Passive Decisions," IZA Discussion Papers 13537, Institute of Labor Economics (IZA).
  6. Friedrichsen, Jana & König, Tobias & Schmacker, Renke, 2018. "Social image concerns and welfare take-up," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 168, pages 174-192.
  7. Vira Semenova, 2023. "Debiased Machine Learning of Aggregated Intersection Bounds and Other Causal Parameters," Papers 2303.00982, arXiv.org, revised May 2025.
  8. Jesse Rothstein & Till von Wachter, 2016. "Social Experiments in the Labor Market," NBER Working Papers 22585, National Bureau of Economic Research, Inc.
  9. Soren Blomquist & Anil Kumar & Che-Yuan Liang & Whitney K. Newey, 2022. "Nonlinear Budget Set Regressions for the Random Utility Model," Working Papers 2219, Federal Reserve Bank of Dallas.
  10. Sneha Elango & Jorge Luis García & James J. Heckman & Andrés Hojman, 2015. "Early Childhood Education," NBER Chapters, in: Economics of Means-Tested Transfer Programs in the United States, Volume 2, pages 235-297, National Bureau of Economic Research, Inc.
  11. Ivan A. Canay & Azeem M. Shaikh, 2016. "Practical and theoretical advances in inference for partially identified models," CeMMAP working papers 05/16, Institute for Fiscal Studies.
  12. Callaway, Brantly, 2021. "Bounds on distributional treatment effect parameters using panel data with an application on job displacement," Journal of Econometrics, Elsevier, vol. 222(2), pages 861-881.
  13. Ho, Kate & Rosen, Adam M., 2015. "Partial Identification in Applied Research: Benefits and Challenges," CEPR Discussion Papers 10883, C.E.P.R. Discussion Papers.
  14. Vishal Kamat, 2017. "Identifying the Effects of a Program Offer with an Application to Head Start," Papers 1711.02048, arXiv.org, revised Aug 2023.
  15. Steven F. Lehrer & R. Vincent Pohl & Kyungchul Song, 2016. "Targeting Policies: Multiple Testing and Distributional Treatment Effects," NBER Working Papers 22950, National Bureau of Economic Research, Inc.
  16. Hamish Low & Costas Meghir & Luigi Pistaferri & Alessandra Voena, 2018. "Marriage, Labor Supply and the Dynamics of the Social Safety Net," Cowles Foundation Discussion Papers 2121, Cowles Foundation for Research in Economics, Yale University.
  17. Marc K Chan, 2014. "Measuring the Dynamic Effects of Welfare Time Limits," Working Paper Series 23, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
  18. Bergolo, M. & Cruces, G., 2021. "The anatomy of behavioral responses to social assistance when informal employment is high," Journal of Public Economics, Elsevier, vol. 193(C).
  19. Molinari, Francesca, 2020. "Microeconometrics with partial identification," Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 355-486, Elsevier.
  20. Beffy, Magali & Blundell, Richard & Bozio, Antoine & Laroque, Guy & Tô, Maxime, 2019. "Labour supply and taxation with restricted choices," Journal of Econometrics, Elsevier, vol. 211(1), pages 16-46.
  21. Sebastian Galiani & Juan Pantano, 2021. "Structural Models: Inception and Frontier," NBER Working Papers 28698, National Bureau of Economic Research, Inc.
  22. Anthony Strittmatter, 2018. "What Is the Value Added by Using Causal Machine Learning Methods in a Welfare Experiment Evaluation?," Papers 1812.06533, arXiv.org, revised Dec 2021.
  23. Clemens, Michael A., 2017. "The Effect of Occupational Visas on Native Employment: Evidence from Labor Supply to Farm Jobs in the Great Recession," IZA Discussion Papers 10492, Institute of Labor Economics (IZA).
  24. Jeffrey Smith, 2022. "Treatment Effect Heterogeneity," Evaluation Review, , vol. 46(5), pages 652-677, October.
  25. Cairo, Sofie & Mahlstedt, Robert, 2023. "The disparate effects of information provision: A field experiment on the work incentives of social welfare," Journal of Public Economics, Elsevier, vol. 226(C).
  26. Bulat Gafarov, 2019. "Simple subvector inference on sharp identified set in affine models," Papers 1904.00111, arXiv.org, revised Jul 2024.
  27. Michael A. Clemens, 2022. "The effect of seasonal work visas on native employment: Evidence from US farm work in the Great Recession," Review of International Economics, Wiley Blackwell, vol. 30(5), pages 1348-1374, November.
  28. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  29. Mario Alloza, 2021. "The impact of taxes on income mobility," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 28(4), pages 794-854, August.
  30. Brigham R. Frandsen & Lars J. Lefgren, 2021. "Partial identification of the distribution of treatment effects with an application to the Knowledge is Power Program (KIPP)," Quantitative Economics, Econometric Society, vol. 12(1), pages 143-171, January.
  31. Shubhangi Agrawal & Sambit Bhattacharyya & Chirantan Chatterjee & Somdeep Chatterjee, 2024. "Income shock and Women’s Health Spending:Evidence from India," Working Paper Series 1324, Department of Economics, University of Sussex Business School.
  32. Vitor Possebom, 2019. "Sharp Bounds for the Marginal Treatment Effect with Sample Selection," Papers 1904.08522, arXiv.org.
  33. Kamat, Vishal, 2019. "Identification with Latent Choice Sets," TSE Working Papers 19-1031, Toulouse School of Economics (TSE).
  34. Adams-Prassl, Abigail, 2019. "Mutually Consistent Revealed Preference Demand Predictions," CEPR Discussion Papers 13580, C.E.P.R. Discussion Papers.
  35. Marianne P. Bitler & Jonah B. Gelbach & Hilary W. Hoynes, 2017. "Can Variation in Subgroups' Average Treatment Effects Explain Treatment Effect Heterogeneity? Evidence from a Social Experiment," The Review of Economics and Statistics, MIT Press, vol. 99(4), pages 683-697, July.
  36. Kamat, Vishal, 2024. "Identifying the effects of a program offer with an application to Head Start," Journal of Econometrics, Elsevier, vol. 240(1).
  37. Sören Blomquist & Jerry A. Hausman & Whitney K. Newey, 2023. "The Econometrics of Nonlinear Budget Sets," Annual Review of Economics, Annual Reviews, vol. 15(1), pages 287-306, September.
  38. Sören Blomquist & Whitney K. Newey & Anil Kumar & Che-Yuan Liang, 2021. "On Bunching and Identification of the Taxable Income Elasticity," Journal of Political Economy, University of Chicago Press, vol. 129(8), pages 2320-2343.
  39. Francesco Agostinelli & Emilio Borghesan & Giuseppe Sorrenti, 2020. "Welfare, Workfare and Labor Supply: A Unified Evaluation," Working Papers 2020-083, Human Capital and Economic Opportunity Working Group.
  40. Richard Blundell, 2024. "Beyond tax credits and the minimum wage: the challenge of labour market inequality," Fiscal Studies, John Wiley & Sons, vol. 45(1), pages 25-42, March.
  41. Pauline Carry, 2022. "The Effects of the Legal Minimum Working Time on Workers, Firms and the Labor Market," Working Papers hal-04067393, HAL.
  42. Lahiri, Bidisha & Daramola, Richard, 2023. "Effects of credit and labor constraints on microenterprises and the unintended impact of changes in household endowments: Use of threshold estimation to detect heterogeneity," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 21-38.
  43. Leonard Goff, 2022. "Treatment Effects in Bunching Designs: The Impact of Mandatory Overtime Pay on Hours," Papers 2205.10310, arXiv.org, revised Jun 2024.
  44. Marx Benjamin M., 2024. "Dynamic Bunching Estimation with Panel Data," Journal of Econometric Methods, De Gruyter, vol. 13(2), pages 225-249.
  45. Marx, Benjamin M., 2018. "The Cost of Requiring Charities to Report Financial Information," MPRA Paper 88660, University Library of Munich, Germany.
  46. Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2023. "Inference for Linear Conditional Moment Inequalities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(6), pages 2763-2791.
  47. Pauline Carry, 2022. "The Effects of the Legal Minimum Working Time on Workers, Firms and the Labor Market," SciencePo Working papers Main hal-04067393, HAL.
  48. Bartalotti, Otávio & Kédagni, Désiré & Possebom, Vitor, 2023. "Identifying marginal treatment effects in the presence of sample selection," Journal of Econometrics, Elsevier, vol. 234(2), pages 565-584.
  49. Andrei Voronin, 2025. "Linear programming approach to partially identified econometric models," Papers 2503.14940, arXiv.org.
  50. Roy Allen & John Rehbeck, 2020. "Counterfactual and Welfare Analysis with an Approximate Model," Papers 2009.03379, arXiv.org.
  51. Michaël Sicsic, 2023. "L’élasticité de l’offre de travail et des revenus dans la littérature. Une analyse comparative des méthodes et des résultats sur données microéconomiques," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(4), pages 5-40.
  52. Kleven, Henrik, 2024. "The EITC and the extensive margin: A reappraisal," Journal of Public Economics, Elsevier, vol. 236(C).
  53. Strittmatter, Anthony, 2023. "What is the value added by using causal machine learning methods in a welfare experiment evaluation?," Labour Economics, Elsevier, vol. 84(C).
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