Unrestricted Statistical Inference with Lorenz Curves and Income Shares
This paper considers the problem of statistical inference with estimated Lorenz curves and income shares. The asymptotic distribution of a vector of Lorenz curve ordinates corresponding to a set of cdf abscissa values is shown to be normal with a variance-covariance structure that depends only on condition first and second moments that can be estimated consistently without specification of the population density underlying the sample data.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||1982|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: (613) 533-2250
Fax: (613) 533-6668
Web page: http://qed.econ.queensu.ca/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:qed:wpaper:464. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Babcock)
If references are entirely missing, you can add them using this form.