IDEAS home Printed from https://ideas.repec.org/a/wly/iecrev/v66y2025i3p1239-1265.html
   My bibliography  Save this article

Optimal Redistribution And Education Signaling

Author

Listed:
  • Spencer Bastani
  • Tomer Blumkin
  • Luca Micheletto

Abstract

We develop a theory of optimal income and education taxation under asymmetric information between firms and workers. Our results show that a max–min optimal tax code can achieve predistribution by pooling wages across ability levels, conditional on income. We identify conditions under which the optimal solution leads to pooling or separating equilibria, highlighting bidirectional incentive constraints. Implementation requires nonlinear income taxes coupled with education subsidies or mandates. Predistribution is only feasible when income taxes are complemented by policies that restrict signaling opportunities. Our framework provides new insights into reducing wage inequality through optimal tax policy and labor market information management.

Suggested Citation

  • Spencer Bastani & Tomer Blumkin & Luca Micheletto, 2025. "Optimal Redistribution And Education Signaling," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 66(3), pages 1239-1265, August.
  • Handle: RePEc:wly:iecrev:v:66:y:2025:i:3:p:1239-1265
    DOI: 10.1111/iere.12756
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/iere.12756
    Download Restriction: no

    File URL: https://libkey.io/10.1111/iere.12756?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:iecrev:v:66:y:2025:i:3:p:1239-1265. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/deupaus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.