IDEAS home Printed from https://ideas.repec.org/a/tpr/restat/v81y1999i1p27-31.html
   My bibliography  Save this article

Measuring Income Tax Discrimination

Author

Listed:
  • Nanak C. Kakwani
  • Peter J. Lambert

Abstract

We propose a procedure for measuring the effect of systematic discrimination in the income tax. Different socioeconomic groups are assumed to face different tax schedules. We show that a welfare loss is caused by the group specificity of schedules, the dollar value of which is our measure of discrimination. Defining vertical equity as the dollar value of the tax system's welfare superiority over an equal yield flat tax, discrimination equates to a loss in vertical equity. The Australian income tax is found to discriminate against wage and salary earners, causing a roughly 1% loss of social welfare in 1984. © 1999 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology

Suggested Citation

  • Nanak C. Kakwani & Peter J. Lambert, 1999. "Measuring Income Tax Discrimination," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 27-31, February.
    • Handle: RePEc:tpr:restat:v:81:y:1999:i:1:p:27-31
    as

    Download full text from publisher

    File URL: http://www.mitpressjournals.org/doi/pdf/10.1162/003465399767923782
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Paul Allanson, 2007. "Classical Horizontal Inequities in the Provision of Agricultural Income Support," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(4), pages 656-671.
    2. Sahrbacher, Amanda, 2012. "Impacts of CAP reforms on farm structures and performance disparities: An agent-based approach," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 65, number 65, September.
    3. Paul Allanson & Benedetto Rocchi, 2008. "A comparative analysis of the redistributive effects of agricultural policy in Tuscany and Scotland," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 86(1), pages 35-56.
    4. Essama-Nssah, B., 2008. "Assessing the redistributive effect of fiscal policy," Policy Research Working Paper Series 4592, The World Bank.

    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:tpr:restat:v:81:y:1999:i:1:p:27-31. 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: The MIT Press (email available below). General contact details of provider: https://direct.mit.edu/journals .

    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.