IDEAS home Printed from https://ideas.repec.org/a/eee/eecrev/v186y2026ics0014292126000644.html

Optimal dynamic tax-transfer policies in heterogeneous-agents economies

Author

Listed:
  • Chien, YiLi
  • Wen, Yi

Abstract

When designing an optimal tax-transfer system, the existing literature identifies two key factors: labor efficiency and debt efficiency. The labor-efficiency approach emphasizes the trade-off between redistribution and distortion in the labor market, while the debt-efficiency approach emphasizes the trade-off between monopoly rent gains and distortion in the asset market. In this paper, we propose a third factor to consider when designing optimal tax-transfer policies: the dynamic-efficiency approach. To demonstrate this, we use an analytically tractable infinite-horizon model incorporating both ex-ante and ex-post heterogeneity. We show that the optimal tax-transfer system is determined at the point where the intertemporal wedge between the market interest rate and the time discount rate is fully eliminated, regardless of the Laffer curve, provided the government’s fiscal space allows for an interior Ramsey steady state. Therefore, in line with recent findings by Chien and Wen (2024), incorporating dynamic efficiency could potentially transform the structure of optimal tax-transfer policies within an infinite-horizon model featuring heterogeneous agents.

Suggested Citation

  • Chien, YiLi & Wen, Yi, 2026. "Optimal dynamic tax-transfer policies in heterogeneous-agents economies," European Economic Review, Elsevier, vol. 186(C).
  • Handle: RePEc:eee:eecrev:v:186:y:2026:i:c:s0014292126000644
    DOI: 10.1016/j.euroecorev.2026.105320
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0014292126000644
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.euroecorev.2026.105320?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:eecrev:v:186:y:2026:i:c:s0014292126000644. 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/eer .

    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.