Using Internal Current Population Survey Data to Reevaluate Trends in Labor Earnings Gaps by Gender, Race, and Education Level
Most empirical studies of trends in labor earnings gaps by gender, race or education level are based on data from the public use March Current Population Survey (CPS). Using the internal March CPS, we show that inconsistent topcoding in the public use data will understate these gaps and inaccurately capture their trends. We create a cell mean series beginning in 1975 that provides the mean of all values above the topcode for each income source in the public use March CPS and better approximate earnings gaps found in the internal March CPS than was previously possible using publically available data.
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- Jeff Larrimore & Richard Burkhauser & Shuaizhang Feng & Laura Zayatz, 2008.
"Consistent Cell Means for Topcoded Incomes in the Public Use March CPS (1976-2007),"
08-06, Center for Economic Studies, U.S. Census Bureau.
- Jeff Larrimore & Richard V. Burkhauser & Shuaizhang Feng & Laura Zayatz, 2008. "Consistent Cell Means for Topcoded Incomes in the Public Use March CPS (1976-2007)," NBER Working Papers 13941, National Bureau of Economic Research, Inc.
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NBER Working Papers
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- Chinhui Juhn, 2003. "Labor Market Dropouts and Trends in the Wages of Black and White Men," ILR Review, Cornell University, ILR School, vol. 56(4), pages 643-662, July.
- Feng, Shuaizhang & Burkhauser, Richard V. & Butler, J.S., 2006. "Levels and Long-Term Trends in Earnings Inequality: Overcoming Current Population Survey Censoring Problems Using the GB2 Distribution," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 57-62, January.
- Chinhui Juhn, 2003. "Labor market dropouts and trends in the wages of black and white men," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 56(4), pages 643-662, July.
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