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Implications of Mean-Reverting Measurement Error for Longitudinal Studies of Wages and Employment

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Author Info
Bonggeun Kim (University at Canterbury)
Gary Solon (University of Michigan)

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Abstract

This note examines the implications of mean-reverting mea-surement error for two influential literatures based on longitudinal survey data: (1) the literature on real wage variation over the business cycle and (2) the literature on intertemporal substitution in labor supply. Accounting for mean-reverting measurement error suggests that real wages may be even more procyclical than indicated by recent longitudinal studies. We also find that the instrumental variables estimator commonly used in intertemporal substitution studies is inconsistent if changes in earnings and hours of work are measured with different degrees of mean reversion, but the magnitude of the resulting inconsistency appears to be small. Copyright (c) 2005 President and Fellows of Harvard College and the Massachusetts Institute of Technology.

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File URL: http://www.mitpressjournals.org/doi/pdfplus/10.1162/0034653053327685
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Publisher Info
Article provided by MIT Press in its journal Review of Economics and Statistics.

Volume (Year): 87 (2005)
Issue (Month): 1 (December)
Pages: 193-196
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Handle: RePEc:tpr:restat:v:87:y:2005:i:1:p:193-196

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  1. Steven Haider & Gary Solon, 2006. "Life-Cycle Variation in the Association between Current and Lifetime Earnings," American Economic Review, American Economic Association, vol. 96(4), pages 1308-1320, September. [Downloadable!]
    Other versions:
  2. Donggyun Shin & Gary Solon, 2006. "New Evidence on Real Wage Cyclicality within Employer-Employee Matches," NBER Working Papers 12262, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  3. John Gibson & Bonggeun Kim, 2007. "Measurement Error in Long-term Retrospective Recall Surveys Of Earnings," Working Papers in Economics 07/03, University of Waikato, Department of Economics. [Downloadable!]
  4. Lisa M. Dragoset & Gary S. Fields, 2006. "U.S. Earnings Mobility: Comparing Survey-Based and Administrative-Based Estimates," Working Papers 55, ECINEQ, Society for the Study of Economic Inequality. [Downloadable!]
  5. Donal O’Neill & Olive Sweetman & Dirk Van de gaer, 2007. "The effects of measurement error and omitted variables when using transition matrices to measure intergenerational mobility," Journal of Economic Inequality, Springer, vol. 5(2), pages 159-178, August. [Downloadable!] (restricted)
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