IDEAS home Printed from https://ideas.repec.org/a/eee/regeco/v114y2025ics0166046225000432.html
   My bibliography  Save this article

Tax progressivity and mobility costs

Author

Listed:
  • Coen-Pirani, Daniele

Abstract

This paper examines how mobility costs influence the effectiveness and desirability of tax progressivity using a general equilibrium spatial model. A key feature of the model is that workers’ idiosyncratic productivity depends on location. The interaction of amenities, idiosyncratic shocks and moving costs implies that progressive taxation distorts location choices by reducing incentives for agents to relocate to their most productive areas. Using a quantitative framework, I find that the negative effect of tax progressivity on output is weakest when mobility costs are either relatively low or high. The optimal degree of tax progressivity balances the costs of spatial tax distortions against the benefits of enhanced insurance, leading to relatively high optimal progressivity at both extremes of mobility costs.

Suggested Citation

  • Coen-Pirani, Daniele, 2025. "Tax progressivity and mobility costs," Regional Science and Urban Economics, Elsevier, vol. 114(C).
  • Handle: RePEc:eee:regeco:v:114:y:2025:i:c:s0166046225000432
    DOI: 10.1016/j.regsciurbeco.2025.104126
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0166046225000432
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.regsciurbeco.2025.104126?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:regeco:v:114:y:2025:i:c:s0166046225000432. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/regec .

    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.