IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v21y1994i3p229-235.html
   My bibliography  Save this article

Asymptotically distribution-free joint confidence intervals for generalized Lorenz curves based on complete data

Author

Listed:
  • Chakraborti, S.

Abstract

Asymptotically distribution-free joint confidence intervals are provided for generalized Lorenz ordinates estimated from complete data. The joint confidence intervals are especially useful in making an overall comparison of generalized Lorenz curves. Based on the confidence intervals a multiple-comparisons-type test is proposed for testing a dominance of generalized Lorenz curves. More generally, the proposed test can be applied to test for second degree stochastic dominance of two income distributions. The results are illustrated with US house-hold income data for 1969 and 1979.

Suggested Citation

  • Chakraborti, S., 1994. "Asymptotically distribution-free joint confidence intervals for generalized Lorenz curves based on complete data," Statistics & Probability Letters, Elsevier, vol. 21(3), pages 229-235, October.
    • Handle: RePEc:eee:stapro:v:21:y:1994:i:3:p:229-235
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0167-7152(94)90119-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Sangeeta Arora & Kanchan Jain, 2006. "Testing for Generalized Lorenz Dominance," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 15(1), pages 75-88, May.

    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:stapro:v:21:y:1994:i:3:p:229-235. 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/wps/find/journaldescription.cws_home/622892/description#description .

    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.