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Identification of income-leisure preferences and evaluation of income tax policy

Citations

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Cited by:

  1. Yuichi Kitamura & Jörg Stoye, 2018. "Nonparametric Analysis of Random Utility Models," Econometrica, Econometric Society, vol. 86(6), pages 1883-1909, November.
  2. Zheng Fang & Andres Santos & Azeem M. Shaikh & Alexander Torgovitsky, 2023. "Inference for Large‐Scale Linear Systems With Known Coefficients," Econometrica, Econometric Society, vol. 91(1), pages 299-327, January.
  3. Sanz Labrador, Ismael & Sanz-Sanz, José Félix, 2013. "Política fiscal y crecimiento económico: consideraciones microeconómicas y relaciones macroeconómicas," Macroeconomía del Desarrollo 5367, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  4. Moutsopoulos, Michael & Pelagidis, Theodore, 2021. "Labor Taxation: Insights From The World Economic Forum Survey," MPRA Paper 110823, University Library of Munich, Germany.
  5. Kamat, Vishal, 2019. "Identification with Latent Choice Sets," TSE Working Papers 19-1031, Toulouse School of Economics (TSE).
  6. Soren Blomquist & Anil Kumar & Che-Yuan Liang & Whitney K. Newey, 2014. "Individual heterogeneity, nonlinear budget sets, and taxable income," CeMMAP working papers 21/14, Institute for Fiscal Studies.
  7. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2022. "Optimal Decision Rules when Payoffs are Partially Identified," Papers 2204.11748, arXiv.org, revised May 2023.
  8. Sebastian Galiani & Juan Pantano, 2021. "Structural Models: Inception and Frontier," NBER Working Papers 28698, National Bureau of Economic Research, Inc.
  9. Treich, Nicolas & Yang, Yuting, 2021. "Public safety under imperfect taxation," Journal of Environmental Economics and Management, Elsevier, vol. 106(C).
  10. Rolf Aaberge & Ugo Colombino, 2014. "Labour Supply Models," Contributions to Economic Analysis, in: Handbook of Microsimulation Modelling, volume 127, pages 167-221, Emerald Group Publishing Limited.
  11. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.
  12. Macon, Luke & McLellan, Benjamin & Kanamura, Takashi, 2019. "Climate Policies and the Tax-Interaction Effect, in Context," MPRA Paper 97053, University Library of Munich, Germany.
  13. Charles F. Manski, 2014. "Choosing Size of Government Under Ambiguity: Infrastructure Spending and Income Taxation," Economic Journal, Royal Economic Society, vol. 0(576), pages 359-376, May.
  14. Abi Adams, 2015. "Mutually consistent revealed preference bounds," IFS Working Papers W15/20, Institute for Fiscal Studies.
  15. Vishal Kamat, 2017. "Identifying the Effects of a Program Offer with an Application to Head Start," Papers 1711.02048, arXiv.org, revised Aug 2023.
  16. Martner Fanta, Ricardo & Gonzales, Ivonne & Podestá, Andrea, 2013. "Políticas fiscales para el crecimiento y la igualdad," Macroeconomía del Desarrollo 5372, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  17. Adams-Prassl, Abigail, 2019. "Mutually Consistent Revealed Preference Demand Predictions," CEPR Discussion Papers 13580, C.E.P.R. Discussion Papers.
  18. André Decoster & Peter Haan, 2015. "Empirical welfare analysis with preference heterogeneity," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(2), pages 224-251, April.
  19. 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.
  20. 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.
  21. Elgin, Ceyhun & Yucel, Emekcan, 2014. "Determinants of the weight for leisure in preferences," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-26.
  22. 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.
  23. Schröder, Melanie & Schmitt, Norma & Mantei, Britta & Brünn, Claudia, 2014. "Social Norms or Income Taxation - What Drives Couple's Labor Supply? Experimental Evidence," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100375, Verein für Socialpolitik / German Economic Association.
  24. Cherchye, Laurens & Demuynck, Thomas & De Rock, Bram, 2014. "Revealed preference analysis for convex rationalizations on nonlinear budget sets," Journal of Economic Theory, Elsevier, vol. 152(C), pages 224-236.
  25. Khushboo Surana, 2022. "How different are we? Identifying the degree of revealed preference heterogeneity," Discussion Papers 22/09, Department of Economics, University of York.
  26. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
  27. Charles F. Manski, 2018. "More on random utility models with bounded ambiguity," Theory and Decision, Springer, vol. 84(2), pages 205-213, March.
  28. Timothy Christensen & Benjamin Connault, 2023. "Counterfactual Sensitivity and Robustness," Econometrica, Econometric Society, vol. 91(1), pages 263-298, January.
  29. Stefan Hoderlein & Jörg Stoye, 2015. "Testing stochastic rationality and predicting stochastic demand: the case of two goods," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 3(2), pages 313-328, October.
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