Improving imputations of top incomes in the public-use current population survey by using both cell-means and variances
Using internal March CPS data, we construct and make available variances and cell-means for all topcoded income values in the public-use CPS. We then demonstrate how their inclusion can improve existing imputation methods in the labor earnings inequality literature.
References listed on IDEAS
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- David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2008. "Trends in U.S. Wage Inequality: Revising the Revisionists," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 300-323, May.
- 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.
- Richard 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," Working Papers 08-38, Center for Economic Studies, U.S. Census Bureau.
- Thomas Lemieux, 2006. "Increasing Residual Wage Inequality: Composition Effects, Noisy Data, or Rising Demand for Skill?," American Economic Review, American Economic Association, vol. 96(3), pages 461-498, June. Full references (including those not matched with items on IDEAS)