This article utilizes an exact match file between the 1978 March Current Population Survey and administrative records from the Social Security Administration to analyze errors in the reporting of annual income using nonparametric methodology. The article extends work of John Bound and Alan B. Krueger (1991) and the results confirm many of the findings in Bound and Krueger. Three new findings are of interest: there is higher measurement error in cross-sectional samples than in panels; the negative relationship between measurement error and earnings is driven largely by overreporting among low earners; and median response errors are not related to earnings. Copyright 1998 by University of Chicago Press.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Contact details of provider: Postal: The University of Chicago Press, Journals Division, P.O. Box 37005 Chicago, IL 60637 Fax: (773) 753-0811 Email: Web page: http://www.journals.uchicago.edu/JOLE/home.html
For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).
Related research
Keywords:
Other versions of this item:
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.)