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

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

Abstract

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

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    1. 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.
    2. Richard Burkhauser & Jeff Larrimore, 2008. "Using Internal Current Population Survey Data to Reevaluate Trends in Labor Earnings Gaps by Gender, Race, and Education Level," Working Papers 08-18, Center for Economic Studies, U.S. Census Bureau.
    3. 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.
    4. 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.
    5. 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.
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    Cited by:

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    2. Vladimir Hlasny, 2021. "Parametric representation of the top of income distributions: Options, historical evidence, and model selection," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1217-1256, September.
    3. Bargain, Olivier B. & 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, IZA Network @ LISER.
    4. 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.
    5. Vladimir Hlasny & Paolo Verme, 2018. "Top Incomes and Inequality Measurement: A Comparative Analysis of Correction Methods Using the EU SILC Data," Econometrics, MDPI, vol. 6(2), pages 1-21, June.
    6. Frank A. Cowell & Emmanuel Flachaire, 2014. "Statistical Methods for Distributional Analysis," Working Papers halshs-01115996, HAL.
    7. Daniel L. Millimet & Christopher F. Parmeter, 2025. "The impact of measurement error on trends in earnings inequality in the USA," Empirical Economics, Springer, vol. 69(5), pages 2727-2753, November.
    8. Vladimir Hlasny & Paolo Verme, 2022. "The Impact of Top Incomes Biases on the Measurement of Inequality in the United States," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(4), pages 749-788, August.
    9. Nora Lustig, 2019. "The “Missing Rich” in Household Surveys: Causes and Correction Approaches," Commitment to Equity (CEQ) Working Paper Series 75, Tulane University, Department of Economics.
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    11. Nora Lustig & Andrea Vigorito, 2025. "The "Missing Rich" in Household Surveys: Causes and Correction Approaches. Extended Version with Technical Appendixes," Documentos de Trabajo (working papers) 25-03, Instituto de Economía - IECON.
    12. Lustig, Nora & Vigorito, Andrea, 2025. "The “Missing Rich” in Household Surveys: Causes and Correction Approaches," SocArXiv 97ng6_v1, Center for Open Science.
    13. Ferreira, Francisco H. G. & Brunori, Paolo, 2024. "Inherited inequality, meritocracy, and the purpose of economic growth," LSE Research Online Documents on Economics 126263, London School of Economics and Political Science, LSE Library.
    14. Lidia Ceriani & Paolo Verme, 2022. "Population Changes and the Measurement of Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(2), pages 549-575, July.
    15. João Nicolau & Pedro Raposo & Paulo M. M. Rodrigues, 2023. "Measuring wage inequality under right censoring," Economic Inquiry, Western Economic Association International, vol. 61(2), pages 377-401, April.

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