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Estimation of an Occupational Choice Model when Occupations are Misclassified

Listed author(s):
  • Sullivan, Paul

This paper examines occupational choices using a discrete choice model that accounts for the fact that self-reported occupation data is measured with error. Despite evidence from validation studies which suggests that there is a substantial amount of measurement error in self-reported occupations, existing research has not corrected for classification error when estimating models of occupational choice. This paper develops a panel data model of occupational choices that corrects for misclassification in occupational choices and measurement error in occupation-specific work experience variables. The model is used to estimate the extent of measurement error in self-reported occupation data and quantify the bias that results from ignoring measurement error in occupation codes when studying the determinants of occupational choices and estimating the effects of occupation-specific human capital on wages. The parameter estimates reveal that 9% of occupational choices in the 1979 cohort of the National Longitudinal Survey of Youth are misclassified. Ignoring misclassification biases the median parameter in the occupational choice model by 25%.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 862.

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Date of creation: Nov 2006
Handle: RePEc:pra:mprapa:862
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  1. McCall, Brian P, 1990. "Occupational Matching: A Test of Sorts," Journal of Political Economy, University of Chicago Press, vol. 98(1), pages 45-69, February.
  2. Michael P. Keane & Robert M. Sauer, 2009. "Classification Error in Dynamic Discrete Choice Models: Implications for Female Labor Supply Behavior," Econometrica, Econometric Society, vol. 77(3), pages 975-991, 05.
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  13. Kreider, Brent & Pepper, John V., 2003. "Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors," Staff General Research Papers Archive 10229, Iowa State University, Department of Economics.
  14. Ramalho, Esmeralda A., 2002. "Regression models for choice-based samples with misclassification in the response variable," Journal of Econometrics, Elsevier, vol. 106(1), pages 171-201, January.
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  26. repec:adr:anecst:y:1999:i:55-56:p:09 is not listed on IDEAS
  27. Eric D. Gould, 2002. "Rising Wage Inequality, Comparative Advantage, and the Growing Importance of General Skills in the United States," Journal of Labor Economics, University of Chicago Press, vol. 20(1), pages 105-147, January.
  28. Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
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  31. Heckman, James J & Sedlacek, Guilherme L, 1990. "Self-selection and the Distribution of Hourly Wages," Journal of Labor Economics, University of Chicago Press, vol. 8(1), pages 329-363, January.
  32. Tong Li & Pravin K. Trivedi & Jiequn Guo, 2003. "Modeling Response Bias in Count: A Structural Approach With an Application to the National Crime Victimization Survey Data," Sociological Methods & Research, SAGE Publishing, vol. 31(4), pages 514-544, May.
  33. Bollinger, Christopher R., 1996. "Bounding mean regressions when a binary regressor is mismeasured," Journal of Econometrics, Elsevier, vol. 73(2), pages 387-399, August.
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