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Job Turnover Heterogeneity and Person-Job-Specific Time-Series Wages

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  • Lee A. Lillard

Abstract

This paper introduces and tests for the endogeneity of job tenure and number of jobs in the wage equation using panel data uniquely suited for that purpose -- the National Longitudinal Survey of Youth (NLSY). The model is multi-level in that there is wage dynamics -- random intercept, random growth path and autocorrelated transitory variation -- at the person-career level and at the job-specific level. The NLSY wage data is unique in that wage values are associated with a specific job (employer) and thus can be used to form a (monthly) time series of job-specific wages. The resulting job-specific time series of wages includes a variable number of unequally spaced points in time and has more missing values than complete data points from beginning to end. The multiple job-specific time series for a person may overlap in time so that the person-specific time series may include multiple wages at any given survey date. The data is also unique in that the begin and end dates of all jobs are available over the person's career so that precise measures of number of jobs and of months of work experience and tenure on the job may be constructed as of the date of each reported wage value. This data also allows the modeling of job turnover and job duration in continuous time jointly with the wage time series for that job. The model is designed to test the exogeneity of number of jobs held and of job tenure in the wage equation.

Suggested Citation

  • Lee A. Lillard, 1999. "Job Turnover Heterogeneity and Person-Job-Specific Time-Series Wages," Annals of Economics and Statistics, GENES, issue 55-56, pages 183-210.
  • Handle: RePEc:adr:anecst:y:1999:i:55-56:p:183-210
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    Cited by:

    1. Simon D Woodcock, 2002. "Agent Heterogeneity and Learning: An Application to Labor Markets," Longitudinal Employer-Household Dynamics Technical Papers 2002-20, Center for Economic Studies, U.S. Census Bureau.
    2. Martha Harrison Stinson, 2002. "Estimating the Relationship between Employer-Provided Health Insurance, Worker Mobility, and Wages," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B1-2, International Conferences on Panel Data.
    3. Sullivan, Paul, 2010. "Empirical evidence on occupation and industry specific human capital," Labour Economics, Elsevier, vol. 17(3), pages 567-580, June.
    4. Merja Kauhanen & Sami Napari, 2010. "Wage Growth and Mobility Between and Within Firms by Gender and Education," Working Papers 260, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    5. Cecilia ALBERT & Carlos GARCÍA-SERRANO & Virginia HERNANZ, 2010. "On-the-job training in Europe: Determinants and wage returns," International Labour Review, International Labour Organization, vol. 149(3), pages 315-341, September.
    6. Mathieu Bunel & Jean-Pascal Guironnet, 2017. "Income inequalities for recently graduated French workers: a multilevel modeling approach," Empirical Economics, Springer, vol. 53(2), pages 755-778, September.
    7. Maria A. Davia, 2010. "Job Mobility And Wage Growth At The Beginning Of The Professional Career In Spain," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 18(1), pages 5-34, Spring.
    8. Laura Hospido, 2009. "Job changes and individual-job specific wage dynamics," Working Papers 0907, Banco de España.
    9. Jain, Apoorva & Peter, Klara Sabirianova, 2017. "A Joint Hazard-Longitudinal Model of the Timing of Migration, Immigrant Quality, and Labor Market Assimilation," IZA Discussion Papers 10887, Institute of Labor Economics (IZA).
    10. Benoit Dostie, 2003. "Controlling for Demand Side Factors and Job Matching: Maximum Likelihood Estimates of the Returns to Seniority Using Matched Employer-Employee Data," Cahiers de recherche 03-02, HEC Montréal, Institut d'économie appliquée.

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