IDEAS home Printed from https://ideas.repec.org/a/aea/aecrev/v84y1994i2p365-70.html
   My bibliography  Save this article

Normative Measurement: Is Theory Relevant?

Author

Listed:
  • Foster, James E

Abstract

No abstract is available for this item.

Suggested Citation

  • Foster, James E, 1994. "Normative Measurement: Is Theory Relevant?," American Economic Review, American Economic Association, vol. 84(2), pages 365-370, May.
    • Handle: RePEc:aea:aecrev:v:84:y:1994:i:2:p:365-70
    as

    Download full text from publisher

    File URL: http://links.jstor.org/sici?sici=0002-8282%28199405%2984%3A2%3C365%3ANMITR%3E2.0.CO%3B2-6&origin=repec
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.
    ---><---

    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. David T. Johnson & Peter B. Dixon, 1999. "Australian Poverty Quantified by a Family‐Based Poverty Index," The Economic Record, The Economic Society of Australia, vol. 75(2), pages 103-114, June.
    2. John Gibson & Susan Olivia, 2002. "An Illustration of the Average Time Measure of Poverty," Working Papers in Economics 02/04, University of Waikato.
    3. Morduch, Jonathan, 1998. "Poverty, economic growth, and average exit time," Economics Letters, Elsevier, vol. 59(3), pages 385-390, June.
    4. repec:ums:papers:2014-010 is not listed on IDEAS
    5. Veneziani, Roberto & Yoshihara, Naoki, 2014. "One Million Miles to Go: Taking the Axiomatic Road to Defining Exploitation," Discussion Paper Series 615, Institute of Economic Research, Hitotsubashi University.
    6. Valenti, Paola, 2002. "Should We Be Concerned about the Distribution of Literacy across Households? An Axiomatic Investigation," Working Papers 02-15, Cornell University, Center for Analytic Economics.
    7. Hutchens, Robert M., 2012. "Measuring Segregation When Hierarchy Matters," IZA Discussion Papers 6667, Institute of Labor Economics (IZA).
    8. John A. Weymark, 2003. "The Normative Approach to the Measurement of Multidimensional Inequality," Vanderbilt University Department of Economics Working Papers 0314, Vanderbilt University Department of Economics, revised Jan 2004.
    9. Hutchens, Robert, 2001. "Numerical measures of segregation: desirable properties and their implications," Mathematical Social Sciences, Elsevier, vol. 42(1), pages 13-29, July.

    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:aea:aecrev:v:84:y:1994:i:2:p:365-70. 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.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.