Estimating Trends in US Income Inequality Using the Current Population Survey: The Importance of Controlling for Censoring
Richard Burkhauser,
Shuaizhang Feng,
Stephen Jenkins and
Jeff Larrimore
No 3690, IZA Discussion Papers from Institute of Labor Economics (IZA)
Abstract:
Using internal and public use March Current Population Survey data, we analyze trends in US income inequality (1975–2004). Using a multiple imputation approach where values for censored observations are imputed using draws from a Generalized Beta distribution of the Second Kind, we find that the upward trend in income inequality significantly slowed after 1993. Our results closely match the income share trends reported by Piketty and Saez (2003) except for within the top 1 percent of the distribution. Thus, we argue that if inequality has increased substantially since 1993, such increases are confined to this very high income group.
Keywords: CPS; topcoding; censoring; inequality; time trend; US income inequality (search for similar items in EconPapers)
JEL-codes: C81 D31 (search for similar items in EconPapers)
Pages: 41 pages
Date: 2008-09
New Economics Papers: this item is included in nep-ltv
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Citations: View citations in EconPapers (28)
Published - revised version published in: Journal of Economic Inequality, 2011, 9 (3), 393 - 415
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Related works:
Journal Article: Estimating trends in US income inequality using the Current Population Survey: the importance of controlling for censoring (2011) 
Working Paper: Estimating trends in US income inequality using the Current Population Survey: the importance of controlling for censoring (2011) 
Working Paper: Estimating Trends in U.S. Income Inequality Using the Current Population Survey: The Importance of Controlling for Censoring (2008) 
Working Paper: Estimating trends in US income inequality using the Current Population Survey: the importance of controlling for censoring (2008) 
Working Paper: Estimating Trends in US Income Inequality Using the Current Population Survey: The Importance of Controlling for Censoring (2008) 
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