Estimating trends in US income inequality using the Current Population Survey: the importance of controlling for censoring
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DOI: 10.1007/s10888-010-9131-6
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- P. Jenkins, Stephen & V. Burkhauser, Richard & Feng, Shuaizhang & Larrimore, Jeff, 2008. "Estimating trends in US income inequality using the Current Population Survey: the importance of controlling for censoring," ISER Working Paper Series 2008-25, Institute for Social and Economic Research.
- Burkhauser, Richard V. & Feng, Shuaizhang & Jenkins, Stephen P. & Larrimore, Jeff, 2011. "Estimating trends in US income inequality using the Current Population Survey: the importance of controlling for censoring," LSE Research Online Documents on Economics 31998, London School of Economics and Political Science, LSE Library.
- Richard Burkhauser & Shuaizhang Feng & Stephen Jenkins & Jeff Larrimore, 2008. "Estimating Trends in U.S. Income Inequality Using the Current Population Survey: The Importance of Controlling for Censoring," Working Papers 08-25, Center for Economic Studies, U.S. Census Bureau.
- Richard V. Burkhauser & Shuaizhang Feng & Stephen P. Jenkins & Jeff Larrimore, 2008. "Estimating Trends in US Income Inequality Using the Current Population Survey: The Importance of Controlling for Censoring," NBER Working Papers 14247, National Bureau of Economic Research, Inc.
- Burkhauser, Richard V. & Feng, Shuaizhang & Jenkins, Stephen P. & Larrimore, Jeff, 2008. "Estimating Trends in US Income Inequality Using the Current Population Survey: The Importance of Controlling for Censoring," IZA Discussion Papers 3690, Institute of Labor Economics (IZA).
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More about this item
Keywords
Censoring; CPS; Time trend; Topcoding; US income inequality;All these keywords.
JEL classification:
- D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
Statistics
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