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Improving imputations of top incomes in the public-use current population survey by using both cell-means and variances


  • Burkhauser, Richard V.
  • Feng, Shuaizhang
  • Larrimore, Jeff


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.

Suggested Citation

  • Burkhauser, Richard V. & Feng, Shuaizhang & Larrimore, Jeff, 2010. "Improving imputations of top incomes in the public-use current population survey by using both cell-means and variances," Economics Letters, Elsevier, vol. 108(1), pages 69-72, July.
  • Handle: RePEc:eee:ecolet:v:108:y:2010:i:1:p:69-72

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    References listed on IDEAS

    1. 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.
    2. 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.
    3. 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.
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    Cited by:

    1. Bargain, Olivier & Dolls, Mathias & Immervoll, Herwig & Neumann, Dirk & Peichl, Andreas & Pestel, Nico & Siegloch, Sebastian, 2011. "Tax Policy and Income Inequality in the U.S., 1978-2009: A Decomposition Approach," IZA Discussion Papers 5910, Institute for the Study of Labor (IZA).
    2. Nora Lustig, 2018. "Measuring the Distribution of Household Income, Consumption and Wealth: State of Play and Measurement Challenges," Working Papers 1801, Tulane University, Department of Economics.
    3. Frank A. Cowell & Emmanuel Flachaire, 2014. "Statistical Methods for Distributional Analysis," Working Papers halshs-01115996, HAL.
    4. Vladimir Hlasny & Paolo Verme, 2017. "The impact of top incomes biases on the measurement of inequality in the United States," Working Papers 452, ECINEQ, Society for the Study of Economic Inequality.

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    CPS Topcoding Cell-means Variances;


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