Log in

Solving multidimensional screening problems using a generalized single crossing property

  • Research Article
  • Published:
Economic Theory Aims and scope Submit manuscript

Abstract

This paper derives necessary and sufficient conditions for allocations to be incentive compatible in multidimensional screening problems that satisfy a generalized single crossing property. We then devise a numerical method based on these results to solve multidimensional screening problems. Importantly, our numerical method can be applied to multidimensional screening problems for which existing approaches cannot be applied. We apply this method to several numerical examples in the context of multidimensional optimal taxation. In addition to illustrating how to apply our theoretical results and implement our numerical method, our simulations highlight the importance of bunching in optimal multidimensional taxation. Finally, we prove that bunching must occur in multidimensional optimal taxation problems when the social planner has sufficiently redistributive preferences.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Data Availability

The datasets analyzed in the current study are available from IPUMS at https://www.ipums.org/

References

Download references

Acknowledgements

The findings, interpretations, and conclusions expressed in this paper are entirely those of the author. Thank you to two anonymous referees and the editor, Nicholas Yannelis, for providing many helpful comments that improved the paper. Thanks to various seminar participants at Tulane University and Virginia Tech. Thanks to Stefano Barbieri for providing helpful comments on this paper. This paper also benefited significantly from conversations with Ilia Krasikov and Mike Golosov. Finally, a special thanks to Katy Bergstrom who has been immensely helpful in providing feedback on this project.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to William Dodds.

Ethics declarations

Conflict of interest

The author has no competing interests to declare that are relevant to the content of this article.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dodds, W. Solving multidimensional screening problems using a generalized single crossing property. Econ Theory 77, 1025–1084 (2024). https://doi.org/10.1007/s00199-023-01519-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00199-023-01519-8

Keywords

JEL Classification

Navigation