Item Nonresponse in Wages: Testing for Biased Estimates in Wage Equations
AbstractThis paper investigates how to test and correct for nonresponse selection bias induced by missing income information when estimating wage functions. The novelty is to use the variation in interviewer-specific response rates as exclusion restriction within the framework of a sample selection model.
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Bibliographic InfoPaper provided by Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen in its series Ruhr Economic Papers with number 0333.
Length: 8 pages
Date of creation: Apr 2012
Date of revision:
Find related papers by JEL classification:
- J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-05-22 (All new papers)
- NEP-ECM-2012-05-22 (Econometrics)
- NEP-LAB-2012-05-22 (Labour Economics)
- NEP-LMA-2012-05-22 (Labor Markets - Supply, Demand, & Wages)
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.:
- Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4 National Bureau of Economic Research, Inc.
- Heckman, James J, 1979.
"Sample Selection Bias as a Specification Error,"
Econometric Society, vol. 47(1), pages 153-61, January.
- Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
- Riphahn, Regina T. & Serfling, Oliver, 2002.
"Item Non-Response on Income and Wealth Questions,"
IZA Discussion Papers
573, Institute for the Study of Labor (IZA).
- Alfonso Sousa-Poza & Fred Henneberger, 2000. "Wage data collected by telephone interviews: an empirical analysis of the item nonresponse problem and its implications for the estimation of wage functions," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 136(I), pages 79-98, March.
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