IDEAS home Printed from https://ideas.repec.org/r/ces/ceswps/_5479.html
   My bibliography  Save this item

The Taxation of Superstars

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Dominik Sachs & Aleh Tsyvinski & Nicolas Werquin, 2016. "A Theory of Asset Prices Based on Heterogeneous Information," Cowles Foundation Discussion Papers 2051, Cowles Foundation for Research in Economics, Yale University.
  2. Jacquet, Laurence & Lehmann, Etienne, 2021. "How to Tax Different Incomes?," IZA Discussion Papers 14739, Institute of Labor Economics (IZA).
  3. Janeba, Eckhard & Schulz, Karl, 2023. "Nonlinear taxation and international mobility in general equilibrium," Journal of Public Economics, Elsevier, vol. 218(C).
  4. Dominik Sachs & Aleh Tsyvinski & Nicolas Werquin, 2020. "Nonlinear Tax Incidence and Optimal Taxation in General Equilibrium," Econometrica, Econometric Society, vol. 88(2), pages 469-493, March.
  5. Bettina Brueggemann, 2016. "Higher Taxes at the Top: The Role of Entrepreneurs," 2016 Meeting Papers 332, Society for Economic Dynamics.
  6. Carlos E. da Costa & Lucas J. Maestri, 2019. "Optimal Mirrleesian taxation in non-competitive labor markets," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 68(4), pages 845-886, November.
  7. Laurence Ales & Christopher Sleet, 2016. "Taxing Top CEO Incomes," American Economic Review, American Economic Association, vol. 106(11), pages 3331-3366, November.
  8. Morten Olsen & Joshua Gottlieb & David Hemous & Jeffrey Clemens, 2017. "The Spill-over Effects of Top Income Inequality," 2017 Meeting Papers 332, Society for Economic Dynamics.
  9. Florian Scheuer & Joel Slemrod, 2020. "Taxation and the Superrich," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 189-211, August.
  10. Koehne, Sebastian & Sachs, Dominik, 2022. "Pareto-improving reforms of tax deductions," European Economic Review, Elsevier, vol. 148(C).
  11. Doligalski, Paweł & Rojas, Luis E., 2023. "Optimal redistribution with a shadow economy," Theoretical Economics, Econometric Society, vol. 18(2), May.
  12. Ferey, Antoine & Haufler, Andreas & Perroni, Carlo, 2023. "Incentives, globalization, and redistribution," Journal of Public Economics, Elsevier, vol. 224(C).
  13. Florian Scheuer & Joel Slemrod, 2021. "Taxing Our Wealth," Journal of Economic Perspectives, American Economic Association, vol. 35(1), pages 207-230, Winter.
  14. Arnaud Costinot & Iván Werning, 2023. "Robots, Trade, and Luddism: A Sufficient Statistic Approach to Optimal Technology Regulation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2261-2291.
  15. Eeckhout, Jan & Fu, Chunyang & Li, Wenjian & Weng, Xi, 2021. "Optimal Taxation and Market Power," CEPR Discussion Papers 16011, C.E.P.R. Discussion Papers.
  16. Henrik Kleven & Claus Thustrup Kreiner & Kristian Larsen & Jakob Egholt Søgaard, 2023. "Micro vs Macro Labor Supply Elasticities: The Role of Dynamic Returns to Effort," NBER Working Papers 31549, National Bureau of Economic Research, Inc.
  17. Zheng Fang, 2021. "A Unifying Framework for Testing Shape Restrictions," Papers 2107.12494, arXiv.org, revised Aug 2021.
  18. Lawson, Nicholas, 2019. "Taxing the job creators: Efficient taxation with bargaining in hierarchical firms," Labour Economics, Elsevier, vol. 56(C), pages 1-25.
  19. Daniel Keniston & Abigail Allison M. Peralta, 2022. "Taxes and the Labor Supply of the Stars," NBER Working Papers 30698, National Bureau of Economic Research, Inc.
  20. Charles I. Jones, 2022. "Taxing Top Incomes in a World of Ideas," Journal of Political Economy, University of Chicago Press, vol. 130(9), pages 2227-2274.
  21. Arnaud Dupuy & Alfred Galichon & Sonia Jaffe & Scott Duke Kominers, 2020. "Taxation In Matching Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1591-1634, November.
  22. Corneo, Giacomo, 2018. "Time-poor, working, super-rich," European Economic Review, Elsevier, vol. 101(C), pages 1-19.
  23. Alexander Ludwig & Alexander Monge-Naranjo & Ctirad Slavik & Faisal Sohail, 2019. "Financial Liberalization and Income Inequality: On the Heterogenous Effects of Different Reforms," 2019 Meeting Papers 895, Society for Economic Dynamics.
  24. Bergstrom, Katy & Dodds, William, 2021. "Optimal taxation with multiple dimensions of heterogeneity," Journal of Public Economics, Elsevier, vol. 200(C).
  25. Jose Joaquin Lopez & Jesica Torres, 2020. "Size-dependent policies, talent misallocation, and the return to skill," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 38, pages 59-93, October.
  26. Eddy Zanoutene, 2023. "Scale‐dependent and risky returns to savings: Consequences for optimal capital taxation," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 25(3), pages 532-569, June.
  27. Felix Bierbrauer, 2016. "Effizienz oder Gerechtigkeit? Ungleiche Einkommen, ungleiche Vermögen und die Theorie der optimalen Besteuerung," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2016_03, Max Planck Institute for Research on Collective Goods.
  28. Job Boerma & Aleh Tsyvinski & Alexander P. Zimin, 2022. "Bunching and Taxing Multidimensional Skills," Papers 2204.13481, arXiv.org.
  29. Marek Kapicka & Ctirad Slavik, 2019. "Organization of Knowledge and Taxation," 2019 Meeting Papers 699, Society for Economic Dynamics.
  30. Schulz, Karl & Tsyvinski, Aleh & Werquin, Nicolas, 2023. "Generalized compensation principle," Theoretical Economics, Econometric Society, vol. 18(4), November.
  31. da Costa, Carlos E. & Maestri, Lucas J. & Santos, Marcelo R., 2022. "Redistribution with labor market frictions," Journal of Economic Theory, Elsevier, vol. 201(C).
  32. Roulleau-Pasdeloup, Jordan, 2020. "A Puncher’s chance: Expected gain and risk taking in a market for superstars," Labour Economics, Elsevier, vol. 66(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.