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Measurement Error In Cross-Sectional and Longitudinal Labor Market Surveys: Results From Two Validation Studies

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Author Info
John Bound
Charles Brown
Greg J. Duncan
Willard L Rodgers

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Abstract

This paper reports evidence on the error properties of survey reports of labor market variables such as earnings and work hours. Our primary data source is the PSID Validation Study, a two-wave panel survey of a sample of workers employed by a large firm which also allowed us access to its very detailed records of its workers earnings. etc. The second data source uses individuals' 1977 and 1978 (March Current Population Survey) reports of earnings, matched to Social Security earnings records. In both data sets, individuals: reports of earnings are fairly accurately reported, and the errors are negatively related to true earnings. The latter property reduces the bias due to measurement error when earnings are used as an independent variable, but (unlike the classical-error case) leads to some bias when earnings are the dependent variable. Measurement-error-induced biases when change in earnings is the variable of interest are larger, but not dramatically so. Various measures of hourly earnings were much less reliable than annual earnings. Retrospective reports of unemployment showed considerable under-reporting, even of long spells.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 2884.

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Date of creation: Mar 1989
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Handle: RePEc:nbr:nberwo:2884

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  1. Alena Bicáková & Jiri Slacalek & Michal Slavík, 2008. "Labor supply after transition. Evidence from the Czech Republic," Working Paper Series 887, European Central Bank. [Downloadable!]
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  2. Robert H. Haveman & Lawrence Buron, 1999. "The Anatomy of Changing Male Earnings Inequality: An Empirical Exploration of Determinants," Macroeconomics 9906018, EconWPA. [Downloadable!]
  3. David Card, 1990. "Intertemporal Labor Supply: An Assessment," Working Papers 649, Princeton University, Department of Economics, Industrial Relations Section.. [Downloadable!]
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  4. repec:cep:sticas:016 is not listed on IDEAS
  5. Richard D. Barwell & Mark E. Schweitzer, 2005. "The incidence of nominal and real wage rigidities in Great Britain: 1978–1998," Working Paper 0508, Federal Reserve Bank of Cleveland. [Downloadable!]
  6. repec:fth:prinin:269 is not listed on IDEAS
  7. Yingyao Hu & Geert Ridder, 2005. "Estimation of Nonlinear Models with Mismeasured Regressors Using Marginal Information," IEPR Working Papers 05.39, Institute of Economic Policy Research (IEPR). [Downloadable!]
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  8. Xiaohong Chen & Yingyao Hu, 2006. "Identification and Inference of Nonlinear Models Using Two Samples with Arbitrary Measurement Errors," Cowles Foundation Discussion Papers 1590, Cowles Foundation, Yale University. [Downloadable!]
  9. Geert Ridder & Yingyao Hu, 2004. "Estimation of Nonlinear Models with Measurement Error Using Marginal Information," Econometric Society 2004 North American Summer Meetings 21, Econometric Society. [Downloadable!]
  10. Steve J. Davis & John Haltiwanger, 1991. "Wage Dispersion Between and Within U.S. Manufacturing Plants, 1963-1986," NBER Working Papers 3722, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  11. repec:fth:prinin:289 is not listed on IDEAS
  12. Orietta Dessy, 2002. "Nominal wage rigidity in the European Countries: evidence from the Europanel," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 D2-1, International Conferences on Panel Data. [Downloadable!]
  13. Smith, Jennifer C., 2002. "Pay Cuts And Morale : A Test Of Downward Nominal Rigidity," The Warwick Economics Research Paper Series (TWERPS) 649, University of Warwick, Department of Economics. [Downloadable!]
  14. Frank A Cowell & Christian Schluter, 1998. "Income Mobility: A Robust Approach (published in Income Inequality Measurement: From Theory to Practice, J Silber (ed, Dewenter: Kluver , 1999)," STICERD - Distributional Analysis Research Programme Papers 37, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE. [Downloadable!]
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