The Extent of Measurement Error In Longitudinal Earnings Data: Do Two Wrongs Make A Right?
AbstractThis paper examines the properties and prevalence of measurement error in longitudinal earnings data. The analysis compares Current Population Survey data to administrative Social Security payroll tax records for a sample of heads of households over two years. In contrast. to the typically assumed properties of measurement error, the results indicate that errors are serially correlated over two years and negatively correlated with true earnings (i.e., mean reverting). Moreover, reported earnings are more reliable for females than males. Overall, the ratio of the variance of the signal to the total variance is .82 for men and .92 for women. These ratios fall to .65 and .81 when the data are specified in first-differences. The estimates suggest that longitudinal earnings data may be more reliable than previously believed.
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Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 2885.
Date of creation: Mar 1989
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- Bound, John & Krueger, Alan B, 1991. "The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?," Journal of Labor Economics, University of Chicago Press, vol. 9(1), pages 1-24, January.
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Blog mentionsAs found by EconAcademics.org, the blog aggregator for Economics research:
- Income Volatility: Jacob Hacker Responds to the CBO
by Mark Thoma in Economist's View on 2008-01-19 23:33:00
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