Measuring Labor Earnings Inequality using Public-Use March Current Population Survey Data: The Value of Including Variances and Cell Means When Imputing Topcoded Values

Richard Burkhauser, Shuaizhang Feng and Jeff Larrimore

No 14458, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: Using the Census Bureau's internal March Current Population Surveys (CPS) file, we construct and make available variances and cell means for all topcoded income values in the public-use version of these data. We then provide a procedure that allows researchers with access only to the public-use March CPS data to take advantage of this added information when imputing its topcoded income values. As an example of its value we show how our new procedure improves on existing imputation methods in the labor earnings inequality literature.

JEL-codes: C8 D31 J3 (search for similar items in EconPapers)
Date: 2008-10
Note: LS PE TWP
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Citations: View citations in EconPapers (5)

Published as Burkhauser, Richard V., Shuaizhang Feng, and Jeff Larrimore. 2010. “Improving Imputations of Top Incomes in the Public-Use Current Population Survey by Using Both Cell-Means and Variances.” Economic Letters, 108: 69-72.

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Working Paper: Measuring Labor Earnings Inequality Using Public-Use March Current Population Survey Data: The Value of Including Variances and Cell Means When Imputing Topcoded Values (2008)
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