IDEAS home Printed from https://ideas.repec.org/a/bla/jpbect/v2y2000i4p493-513.html
   My bibliography  Save this article

Genetic Algorithms and Public Economics

Author

Listed:
  • Arthur C. Brooks

Abstract

To address common limitations of traditional economic models while maintaining a convenient mathematical framework, some economists have begun to employ genetic algorithms (GAs). GA optimization occurs in a way that may resemble the dynamics of actual decision making. It also alleviates any need for a closed form to the policy problem and can ‘decide’ between alternative optima. This paper provides a tutorial on the use of GAs in economics and constructs an example application in the area of tax policy formation. It also critically surveys the landscape of current uses, focusing on both the advantages and disadvantages of GAs in public economics contexts.

Suggested Citation

  • Arthur C. Brooks, 2000. "Genetic Algorithms and Public Economics," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 2(4), pages 493-513, October.
  • Handle: RePEc:bla:jpbect:v:2:y:2000:i:4:p:493-513
    DOI: 10.1111/1097-3923.00048
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1097-3923.00048
    Download Restriction: no

    File URL: https://libkey.io/10.1111/1097-3923.00048?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
    ---><---

    Citations

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


    Cited by:

    1. Morini, Matteo & Pellegrino, Simone, 2018. "Personal income tax reforms: A genetic algorithm approach," European Journal of Operational Research, Elsevier, vol. 264(3), pages 994-1004.

    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:bla:jpbect:v:2:y:2000:i:4:p:493-513. 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/apettea.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.