IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/862.html
   My bibliography  Save this paper

Estimation of an Occupational Choice Model when Occupations are Misclassified

Author

Listed:
  • Sullivan, Paul

Abstract

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%.

Suggested Citation

  • Sullivan, Paul, 2006. "Estimation of an Occupational Choice Model when Occupations are Misclassified," MPRA Paper 862, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:862
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/862/1/MPRA_paper_862.pdf
    File Function: original version
    Download Restriction: no
    File URL: https://mpra.ub.uni-muenchen.de/9313/1/MPRA_paper_9313.pdf
    File Function: revised version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Gueorgui Kambourov & Iourii Manovskii, 2009. "Occupational Specificity Of Human Capital," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(1), pages 63-115, February.
    2. Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
    3. Kreider, Brent & Pepper, John V., 2007. "Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 432-441, June.
    4. Douglas, Stratford M & Conway, Karen Smith & Ferrier, Gary D, 1995. "A Switching Frontier Model for Imperfect Sample Separation Information: With an Application to Constrained Labor Supply," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 36(2), pages 503-529, May.
    5. Keane, Michael P & Wolpin, Kenneth I, 1997. "The Career Decisions of Young Men," Journal of Political Economy, University of Chicago Press, vol. 105(3), pages 473-522, June.
    6. Hausman, J. A. & Abrevaya, Jason & Scott-Morton, F. M., 1998. "Misclassification of the dependent variable in a discrete-response setting," Journal of Econometrics, Elsevier, vol. 87(2), pages 239-269, September.
    7. Christian Dustmann & Arthur van Soest, 2001. "Language Fluency And Earnings: Estimation With Misclassified Language Indicators," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 663-674, November.
    8. Thierry Magnac & Michael Visser, 1999. "Transition Models With Measurement Errors," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 466-474, August.
    9. Brent Kreider & John Pepper, 2008. "Inferring disability status from corrupt data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 329-349.
    10. repec:adr:anecst:y:1999:i:55-56:p:09 is not listed on IDEAS
    11. A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
    12. Poterba, James M & Summers, Lawrence H, 1995. "Unemployment Benefits and Labor Market Transitions: A Multinomial Logit Model with Errors in Classification," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 207-216, May.
    13. 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.
    14. Mroz, Thomas A., 1999. "Discrete factor approximations in simultaneous equation models: Estimating the impact of a dummy endogenous variable on a continuous outcome," Journal of Econometrics, Elsevier, vol. 92(2), pages 233-274, October.
    15. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    16. 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.
    17. Sullivan, Paul, 2010. "Empirical evidence on occupation and industry specific human capital," Labour Economics, Elsevier, vol. 17(3), pages 567-580, June.
    18. Parent, Daniel, 2000. "Industry-Specific Capital and the Wage Profile: Evidence from the National Longitudinal Survey of Youth and the Panel Study of Income Dynamics," Journal of Labor Economics, University of Chicago Press, vol. 18(2), pages 306-323, April.
    19. 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, May.
    20. Heckman, James J & Sedlacek, Guilherme, 1985. "Heterogeneity, Aggregation, and Market Wage Functions: An Empirical Model of Self-selection in the Labor Market," Journal of Political Economy, University of Chicago Press, vol. 93(6), pages 1077-1125, December.
    21. Bollinger, Christopher R., 1996. "Bounding mean regressions when a binary regressor is mismeasured," Journal of Econometrics, Elsevier, vol. 73(2), pages 387-399, August.
    22. 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.
    23. Todd R. Stinebrickner, 1999. "Estimation Of A Duration Model In The Presence Of Missing Data," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 529-542, August.
    24. Neal, Derek, 1999. "The Complexity of Job Mobility among Young Men," Journal of Labor Economics, University of Chicago Press, vol. 17(2), pages 237-261, April.
    25. Xiaohong Chen & Han Hong & Elie Tamer, 2005. "Measurement Error Models with Auxiliary Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(2), pages 343-366.
    26. Krueger, Alan B & Summers, Lawrence H, 1988. "Efficiency Wages and the Inter-industry Wage Structure," Econometrica, Econometric Society, vol. 56(2), pages 259-293, March.
    27. Victor Lavy & Michael Palumbo & Steven Stern, 1999. "Simulation Of Multinomial Probit Probabilities And Imputation Of Missing Data," Advances in Econometrics, in: Messy Data, pages 145-179, Emerald Group Publishing Limited.
    28. 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.
    29. Neal, Derek, 1995. "Industry-Specific Human Capital: Evidence from Displaced Workers," Journal of Labor Economics, University of Chicago Press, vol. 13(4), pages 653-677, October.
    30. Mellow, Wesley & Sider, Hal, 1983. "Accuracy of Response in Labor Market Surveys: Evidence and Implications," Journal of Labor Economics, University of Chicago Press, vol. 1(4), pages 331-344, October.
    31. Abowd, John M & Zellner, Arnold, 1985. "Estimating Gross Labor-Force Flows," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(3), pages 254-283, June.
    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, , vol. 31(4), pages 514-544, May.
    33. Stinebrickner, Ralph & Stinebrickner, T.R.Todd R., 2004. "Time-use and college outcomes," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 243-269.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yamaguchi, Shintaro, 2010. "The effect of match quality and specific experience on career decisions and wage growth," Labour Economics, Elsevier, vol. 17(2), pages 407-423, April.
    2. Francis Green & Golo Henseke, 2016. "The changing graduate labour market: analysis using a new indicator of graduate jobs," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-25, December.
    3. Sullivan, Paul, 2010. "Empirical evidence on occupation and industry specific human capital," Labour Economics, Elsevier, vol. 17(3), pages 567-580, June.
    4. Carlos Carrillo‐Tudela & Ludo Visschers, 2023. "Unemployment and Endogenous Reallocation Over the Business Cycle," Econometrica, Econometric Society, vol. 91(3), pages 1119-1153, May.
    5. Sebastián Aparicio & Andrés Ramírez Hassan & Diego Fernando Gómez Sánchez, 2013. "Elección de ocupaciones que generen empleo usando modelos de elección discreta: Medellín Área Metropolitana 2009," Estudios Gerenciales, Universidad Icesi, December.
    6. Shintaro Yamaguchi, 2012. "Tasks and Heterogeneous Human Capital," Journal of Labor Economics, University of Chicago Press, vol. 30(1), pages 1-53.
    7. Maria Felice Arezzo & Giuseppina Guagnano, 2019. "Misclassification in Binary Choice Models with Sample Selection," Econometrics, MDPI, vol. 7(3), pages 1-19, July.
    8. By Barbara Mueller & Jürg Schweri, 2015. "How specific is apprenticeship training? Evidence from inter-firm and occupational mobility after graduation," Oxford Economic Papers, Oxford University Press, vol. 67(4), pages 1057-1077.
    9. Ben Yahmed, Sarra, 2016. "Formal but less equal: Gender wage gaps in formal and informal jobs in Brazil," ZEW Discussion Papers 16-085, ZEW - Leibniz Centre for European Economic Research.
    10. Shintaro Yamaguchi, 2009. "Formation of Heterogeneous Skills and Wage Growth," Global COE Hi-Stat Discussion Paper Series gd09-088, Institute of Economic Research, Hitotsubashi University.
    11. Matthew D. Baird, 2017. "Labor Supply Estimation Biases From Disregarding Nonwage Benefits," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 1064-1090, April.
    12. Rajesh Paleti & Lacramioara Balan, 2019. "Misclassification in travel surveys and implications to choice modeling: application to household auto ownership decisions," Transportation, Springer, vol. 46(4), pages 1467-1485, August.
    13. Arndt Werner & Johanna Gast & Sascha Kraus, 2014. "The effect of working time preferences and fair wage perceptions on entrepreneurial intentions among employees," Small Business Economics, Springer, vol. 43(1), pages 137-160, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ralph Stinebrickner & Todd Stinebrickner & Paul Sullivan, 2019. "Job Tasks, Time Allocation, and Wages," Journal of Labor Economics, University of Chicago Press, vol. 37(2), pages 399-433.
    2. Carl Sanders & Christopher Taber, 2012. "Life-Cycle Wage Growth and Heterogeneous Human Capital," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 399-425, July.
    3. Sullivan, Paul, 2010. "Empirical evidence on occupation and industry specific human capital," Labour Economics, Elsevier, vol. 17(3), pages 567-580, June.
    4. Paul Sullivan, 2010. "A Dynamic Analysis Of Educational Attainment, Occupational Choices, And Job Search," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(1), pages 289-317, February.
    5. Carl Sanders, 2012. "Skill Uncertainty, Skill Accumulation, and Occupational Choice," 2012 Meeting Papers 633, Society for Economic Dynamics.
    6. Molinari, Francesca, 2008. "Partial identification of probability distributions with misclassified data," Journal of Econometrics, Elsevier, vol. 144(1), pages 81-117, May.
    7. Demiralp, Berna, 2011. "Occupational self-selection in a labor market with moral hazard," European Economic Review, Elsevier, vol. 55(4), pages 497-519, May.
    8. Zsolt Csáfordi & László Lőrincz & Balázs Lengyel & Károly Miklós Kiss, 2020. "Productivity spillovers through labor flows: productivity gap, multinational experience and industry relatedness," The Journal of Technology Transfer, Springer, vol. 45(1), pages 86-121, February.
    9. Lalé, Etienne, 2012. "Trends in occupational mobility in France: 1982–2009," Labour Economics, Elsevier, vol. 19(3), pages 373-387.
    10. Yamaguchi, Shintaro, 2010. "The effect of match quality and specific experience on career decisions and wage growth," Labour Economics, Elsevier, vol. 17(2), pages 407-423, April.
    11. Pedros Silos & Eric Smith, 2015. "Human Capital Portfolios," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(3), pages 635-652, July.
    12. Josh Kinsler & Ronni Pavan, 2015. "The Specificity of General Human Capital: Evidence from College Major Choice," Journal of Labor Economics, University of Chicago Press, vol. 33(4), pages 933-972.
    13. Ludo Visschers & Carlos Carrillo-Tudela, 2011. "Unemployment and Endogenous Reallocation over the Business Cycle," 2011 Meeting Papers 1101, Society for Economic Dynamics.
    14. M. P. Keane & R. M. Sauer, 2008. "Implications of Classification Error for the Dynamics of Female Labor Supply," CHILD Working Papers wp13_08, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
    15. Kritkorn Nawakitphaitoon, 2014. "Occupational Human Capital and Wages: The Role of Skills Transferability Across Occupations," Journal of Labor Research, Springer, vol. 35(1), pages 63-87, March.
    16. James J. Heckman, 2005. "Micro Data, Heterogeneity and the Evaluation of Public Policy Part 2," The American Economist, Sage Publications, vol. 49(1), pages 16-44, March.
    17. Ding Liu & Daniel L. Millimet, 2021. "Bounding the joint distribution of disability and employment with misclassification," Health Economics, John Wiley & Sons, Ltd., vol. 30(7), pages 1628-1647, July.
    18. Gibbons Eric M. & Mukhopadhyay Sankar, 2020. "New Evidence on International Transferability of Human Capital," IZA Journal of Development and Migration, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 11(1), pages 1-39, January.
    19. Ronni Pavan, 2010. "The Role of Career Choice in Understanding Job Mobility," LABOUR, CEIS, vol. 24(2), pages 107-127, June.
    20. Gathmann, Christina & Schönberg, Uta, 2006. "How General Is Specific Human Capital?," IZA Discussion Papers 2485, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    occupational choice; misclassification; simulation methods;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:862. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.