This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Truncation Bias and the Ordinal Evaluation of Income Inequality

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Bishop, John A
Chiou, Jong-Rong
Formby, John P
Abstract

Lorenz dominance analysis is used to examine the effect of top-coding on the ordinal evaluation of U.S. income inequality across time. Current Population Survey microdata are adjusted for truncation bias, and statistical inference procedures are used to examine biennial changes in unadjusted and adjusted Lorenz curves. Beginning in 1985, the truncation bias has a significant effect on ordinal rankings of income inequality.

Download Info
To our knowledge, this item is not available for download. To find whether it is available, there are three options:
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.

Publisher Info
Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.

Volume (Year): 12 (1994)
Issue (Month): 1 (January)
Pages: 123-27
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:bes:jnlbes:v:12:y:1994:i:1:p:123-27

Contact details of provider:
Web page: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main

Order Information:
Web: http://www.amstat.org/publications/index.html

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords:

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Richard V. Burkhauser & Shuaizhang Feng & Stephen P. Jenkins & Jeff Larrimore, 2009. "Recent Trends in Top Income Shares in the USA: Reconciling Estimates from March CPS and IRS Tax Return Data," NBER Working Papers 15320, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  2. Stephen P. Jenkins & Richard V. Burkhauser & Shuaizhang Feng & Jeff Larrimore, 2009. "Measuring inequality using Censored data: A multiple imputation approach," Working Papers 108, ECINEQ, Society for the Study of Economic Inequality. [Downloadable!]
    Other versions:
  3. John Bishop & K. Chow & John Formby & Chih-Chin Ho, 1997. "Did Tax Reform Reduce Actual US Progressivity? Evidence from the Taxpayer Compliance Measurement Program," International Tax and Public Finance, Springer, vol. 4(2), pages 177-197, May. [Downloadable!] (restricted)
  4. repec:ese:iserwp: is not listed on IDEAS
  5. Burkhauser, Richard V. & Feng, Shuaizhang & Jenkins, Stephen P. & Larrimore, Jeff, 2009. "Recent Trends in Top Income Shares in the USA: Reconciling Estimates from March CPS and IRS Tax Return Data," IZA Discussion Papers 4426, Institute for the Study of Labor (IZA). [Downloadable!]
  6. Valentino Dardanoni & Antonio Forcina, 1996. "Inference for the Lorenz Curve Ordering," University of California at San Diego, Economics Working Paper Series 96-26, Department of Economics, UC San Diego. [Downloadable!]
  7. Richard V. Burkhauser & Shuaizhang Feng & Jeff Larrimore, 2008. "Measuring Labor Earnings Inequality using Public-Use March Current Population Survey Data: The Value of Including Variances and Cell Means When Imputing Topcoded Values," NBER Working Papers 14458, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  8. Stephanie Aaronson, 2002. "The rise in lifetime earnings inequality among men," Finance and Economics Discussion Series 2002-21, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
Statistics
Access and download statistics

Did you know? Each page is provided with a technical contact, in case something is not right with the supplied information. See under "publisher info".

This page was last updated on 2009-11-22.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.