Richard V. Burkhauser (Cornell University) Shuaizhang Feng (Princeton University and Shanghai University of Finance and Economics) Stephen P. Jenkins () (University of Essex) Jeff Larrimore (Cornell University)
Abstract
Although the majority of research on US income inequality trends is based on public-use March CPS data, a new wave of research using IRS tax return data reports substantially higher levels of inequality and faster growing trends. We show that these apparently inconsistent estimates are largely reconciled if the inequality measure and the income distribution are defined in the same way. Using internal CPS data for 1967–2006, we closely match IRS data-based estimates of top income shares reported by Piketty and Saez (2003). Our results imply that any inequality increases since 1993 are concentrated among the top 1 percent of the distribution.
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Publisher Info
Paper provided by ECINEQ, Society for the Study of Economic Inequality in its series Working Papers with number
139.
Find related papers by JEL classification: D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Microeconomic Data
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