Does It Matter Who Responded to the Survey? Trends in the U.S. Gender Earnings Gap Revisited
Studies have shown a decreasing trend in the U.S. gender earnings gap since the 1980s. The authors work with a framework established by Blau and Kahn (1997 JOLE; 2006 ILRR), who used the Michigan Panel of Income Dynamics (PSID) to decompose that gap into observable and unobservable components in order to determine which contributing factors are gender-specific and which can be attributed to the wage structure. They extend the Blau and Kahn framework to consider measurement error due to the use of proxy/representative respondents of the survey?s earnings variable. First, they find a trend toward more females in the gender composition of the household respondents, and second, they estimate the impact of that change on Blau and Kahn?s decomposition. They determine that some of the changes in the gender earnings gap could actually be attributed to whether the surveys were self- or proxy-responded. That is, the actual reduction in the gender pay gap may be smaller than what the estimates?without taking into account the measurement error?might indicate. The authors suggest the need for a careful validation study to ascertain the extent of the spurious measurement error effects.
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Volume (Year): 65 (2012)
Issue (Month): 1 (January)
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- Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-42, June.
- Mroz, Thomas A, 1987.
"The Sensitivity of an Empirical Model of Married Women's Hours of Work to Economic and Statistical Assumptions,"
Econometric Society, vol. 55(4), pages 765-99, July.
- Thomas Mroz, . "The Sensitivity of an Empirical Model of Married Women's Hours of Work to Economic and Statistical Assumptions," University of Chicago - Population Research Center 84-8, Chicago - Population Research Center.
- Kristensen, Nicolai & Westergård-Nielsen, Niels C., 2006. "A Large-Scale Validation Study of Measurement Errors in Longitudinal Survey Data," IZA Discussion Papers 2329, Institute for the Study of Labor (IZA).
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