Consistent Cell Means for Topcoded Incomes in the Public Use March CPS (1976-2007)
Using the internal March CPS, we create and in this paper distribute to the larger research community a cell mean series that provides the mean of all income values above the topcode for any income source of any individual in the public use March CPS that has been topcoded since 1976. We also describeour construction of this series. When we use this series together with the public use March CPS, we closely match the yearly mean income levels and income inequalities of the U.S. population found using the internal March CPS data.
|Date of creation:||Apr 2008|
|Publication status:||published as Larrimore, Jeff, Richard V. Burkhauser, Shuaizhang Feng and Laura Zayatz. “Consistent Cell Means for Topcoded Incomes in the Public Use March CPS (1976 - 2007).” Journal of Economic and Social Measurement , 33 (2 - 3) (2008): 89 - 128|
|Note:||LS PE TWP|
|Contact details of provider:|| Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.|
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- Richard Burkhauser & Jeff Larrimore, 2008. "Trends in the Relative Household Income of Working-Age Men with Work Limitations: Correcting the Record Using Internal Current Population Survey Data," Working Papers 08-05, Center for Economic Studies, U.S. Census Bureau.
- Richard V. Burkhauser & Shuaizhang Feng & Stephen P. Jenkins, 2009.
"Using The P90-P10 Index To Measure U.S. Inequality Trends With Current Population Survey Data: A View From Inside The Census Bureau Vaults,"
Review of Income and Wealth,
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- Richard Burkhauser & Shuaizhang Feng & Stephen Jenkins, 2007. "Using the P90/P10 Index to Measure U.S. Inequality Trends with Current Population Survey Data: A View From Inside the Census Bureau Vaults," Working Papers 07-17, Center for Economic Studies, U.S. Census Bureau.
- Richard V. Burkhauser & Shuaizhang Feng & Stephen P. Jenkins, 2007. "Using the P90/P10 Index to Measure US Inequality Trends with Current Population Survey Data: A View from Inside the Census Bureau Vaults," Discussion Papers of DIW Berlin 699, DIW Berlin, German Institute for Economic Research.
- Burkhauser, Richard V. & Feng, Shuaizhang & Jenkins, Stephen P., 2007. "Using the P90/P10 Index to Measure US Inequality Trends with Current Population Survey Data: A View from Inside the Census Bureau Vaults," IZA Discussion Papers 2839, Institute for the Study of Labor (IZA).
- Burkhauser, Richard V. & Feng, Shuaizhang & Jenkins, Stephen P., 2007. "Using the P90/P10 index to measure US inquality trends with current population survey data: a view from inside the Census Bureau vaults," ISER Working Paper Series 2007-14, Institute for Social and Economic Research.
- Stephen P. Jenkins & Shuaizhang Feng & Richard V. Burkhauser, 2007. "Using the P90/P10 Index to Measure US Inequality Trends with Current Population Survey Data: A View from Inside the Census Bureau Vaults," Working Papers 72, ECINEQ, Society for the Study of Economic Inequality.
- Levy, Frank & Murnane, Richard J, 1992. "U.S. Earnings Levels and Earnings Inequality: A Review of Recent Trends and Proposed Explanations," Journal of Economic Literature, American Economic Association, vol. 30(3), pages 1333-1381, September.
- Robert I. Lerman, 1999. "U.S. Wage-Inequality Trends and Recent Immigration," American Economic Review, American Economic Association, vol. 89(2), pages 23-28, May.
- Burkhauser, Richard V. & Butler, J. S. & Feng, Shuaizhang & Houtenville, Andrew J., 2004. "Long term trends in earnings inequality: what the CPS can tell us," Economics Letters, Elsevier, vol. 82(2), pages 295-299, February.
- Peter Gottschalk & Timothy M. Smeeding, 1997. "Cross-National Comparisons of Earnings and Income Inequality," Journal of Economic Literature, American Economic Association, vol. 35(2), pages 633-687, June.
- Feng, Shuaizhang & Burkhauser, Richard V. & Butler, J.S., 2006. "Levels and Long-Term Trends in Earnings Inequality: Overcoming Current Population Survey Censoring Problems Using the GB2 Distribution," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 57-62, January. Full references (including those not matched with items on IDEAS)
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