IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Using the Pareto Distribution to Improve Estimates of Topcoded Earnings

  • Philip Armour
  • Richard V. Burkhauser
  • Jeff Larrimore

Inconsistent censoring of top earnings in the public-use March Current Population Survey (CPS) is an important limitation in using it to measure labor earnings trends. Using less-censored internal CPS data, combined with Pareto estimates from it for internally censored observations, we create an enhanced cell-mean series to capture top earnings in the public-use CPS. We find previous common approaches for imputing topcoded earnings systematically understate top earnings. Annual earnings inequality trends since 1963 using our series closely approximate the substantial increase in earnings inequality observed in Social Security Administration data for working-age commerce and industry workers by Kopczuk, Saez, and Song (2010). However, when considering all workers the level of earnings inequality is higher but the increase over this time has been more modest.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.nber.org/papers/w19846.pdf
Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 19846.

as
in new window

Length:
Date of creation: Jan 2014
Date of revision:
Handle: RePEc:nbr:nberwo:19846
Note: LS PE TWP
Contact details of provider: Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Phone: 617-868-3900
Web page: http://www.nber.org
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. 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.
  2. Stephen P. Jenkins & Richard V. Burkhauser & Shuaizhang Feng & Jeff Larrimore, 2011. "Measuring inequality using censored data: a multiple-imputation approach to estimation and inference," LSE Research Online Documents on Economics 32013, London School of Economics and Political Science, LSE Library.
  3. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-42, June.
  4. Daron Acemoglu, 2000. "Technical Change, Inequality, and the Labor Market," NBER Working Papers 7800, National Bureau of Economic Research, Inc.
  5. David Card & John E. DiNardo, 2002. "Skill-Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles," Journal of Labor Economics, University of Chicago Press, vol. 20(4), pages 733-783, October.
  6. Fichtenbaum, Rudy & Shahidi, Hushang, 1988. "Truncation Bias and the Measurement of Income Inequality," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 335-37, July.
  7. 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.
  8. Katz, Lawrence F & Murphy, Kevin M, 1992. "Changes in Relative Wages, 1963-1987: Supply and Demand Factors," The Quarterly Journal of Economics, MIT Press, vol. 107(1), pages 35-78, February.
  9. Heathcote, Jonathan & Perri, Fabrizio & Violante, Giovanni L, 2009. "Unequal We Stand: An Empirical Analysis of Economic Inequality in the United States, 1967-2006," CEPR Discussion Papers 7538, C.E.P.R. Discussion Papers.
  10. 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.
  11. Emmanuel Saez, 2000. "Using Elasticities to Derive Optimal Income Tax Rates," NBER Working Papers 7628, National Bureau of Economic Research, Inc.
  12. Thomas Piketty & Emmanuel Saez, 2003. "Income Inequality In The United States, 1913-1998," The Quarterly Journal of Economics, MIT Press, vol. 118(1), pages 1-39, February.
  13. Bishop, John A & Chiou, Jong-Rong & Formby, John P, 1994. "Truncation Bias and the Ordinal Evaluation of Income Inequality," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(1), pages 123-27, January.
  14. Wojciech Kopczuk & Emmanuel Saez & Jae Song, 2010. "Earnings Inequality and Mobility in the United States: Evidence from Social Security Data since 1937," The Quarterly Journal of Economics, MIT Press, vol. 125(1), pages 91-128, February.
  15. R. Quandt, 1966. "Old and new methods of estimation and the pareto distribution," Metrika, Springer, vol. 10(1), pages 55-82, December.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:19846. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.