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Part-time Work and Occupational Attainment Amongst a Cohort of British Women

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  • Prowse, Victoria L.

    (Purdue University)

Abstract

Using data on a cohort of British women who were born in 1958, this paper investigates the effects of qualifications, household structure and family background on the occupational penalty suffered by women in part-time employment. The analysis is conducted using a dynamic multinomial modelling framework in which hours of work and occupational attainment are jointly determined. The results reveal that at the bottom of the occupational hierarchy degree level qualifications improve the occupational attainment of women in part-time employment relative to that of women working full-time. In contrast, at top of the occupational hierarchy, degree level qualifications benefit full-timers more than part-timers. Contrary to the conventional wisdom, women with children have higher occupational attainment than childless women thus suggesting that women with children are relatively selective in terms of the jobs they are willing to accept. Furthermore, women with children experience a smaller part-time occupational penalty than childless women. Family background effects are present but small.

Suggested Citation

  • Prowse, Victoria L., 2006. "Part-time Work and Occupational Attainment Amongst a Cohort of British Women," IZA Discussion Papers 2342, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp2342
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    1. George A. Akerlof & Janet L. Yellen, 1990. "The Fair Wage-Effort Hypothesis and Unemployment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(2), pages 255-283.
    2. Kubin, Ingrid & Prinz, Aloys, 2002. "Labour supply with habit formation," Economics Letters, Elsevier, vol. 75(1), pages 75-79, March.
    3. Blau, David M & Robins, Philip K, 1988. "Child-Care Costs and Family Labor Supply," The Review of Economics and Statistics, MIT Press, vol. 70(3), pages 374-381, August.
    4. Marco Francesconi, 2002. "A Joint Dynamic Model of Fertility and Work of Married Women," Journal of Labor Economics, University of Chicago Press, vol. 20(2), pages 336-380, Part.
    5. Machin, Stephen, 1997. "The decline of labour market institutions and the rise in wage inequality in Britain," European Economic Review, Elsevier, vol. 41(3-5), pages 647-657, April.
    6. 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.
    7. H. M. Amman & D. A. Kendrick & J. Rust (ed.), 1996. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 1, number 1.
    8. Manning, Alan & Petrongolo, Barbara, 2005. "The part-time pay penalty," LSE Research Online Documents on Economics 4614, London School of Economics and Political Science, LSE Library.
    9. Schmidt, Peter & Strauss, Robert P, 1975. "The Prediction of Occupation Using Multiple Logit Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 16(2), pages 471-486, June.
    10. Card, David, 1996. "The Effect of Unions on the Structure of Wages: A Longitudinal Analysis," Econometrica, Econometric Society, vol. 64(4), pages 957-979, July.
    11. Ribar, David C, 1995. "A Structural Model of Child Care and the Labor Supply of Married Women," Journal of Labor Economics, University of Chicago Press, vol. 13(3), pages 558-597, July.
    12. Krueger, Alan & Rouse, Cecilia, 1998. "The Effect of Workplace Education on Earnings, Turnover, and Job Performance," Journal of Labor Economics, University of Chicago Press, vol. 16(1), pages 61-94, January.
    13. Mroz, Thomas A, 1987. "The Sensitivity of an Empirical Model of Married Women's Hours of Work to Economic and Statistical Assumptions," Econometrica, Econometric Society, vol. 55(4), pages 765-799, July.
    14. Stephen Nickell, 1982. "The Determinants of Occupational Success in Britain," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 49(1), pages 43-53.
    15. Karen E. Dynan, 2000. "Habit Formation in Consumer Preferences: Evidence from Panel Data," American Economic Review, American Economic Association, vol. 90(3), pages 391-406, June.
    16. Charles Brown, 1980. "Equalizing Differences in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 94(1), pages 113-134.
    17. Shapiro, Carl & Stiglitz, Joseph E, 1984. "Equilibrium Unemployment as a Worker Discipline Device," American Economic Review, American Economic Association, vol. 74(3), pages 433-444, June.
    18. Connolly, Sara & Micklewright, John & Nickell, Stephen, 1992. "The Occupational Success of Young Men Who Left School at Sixteen," Oxford Economic Papers, Oxford University Press, vol. 44(3), pages 460-479, July.
    19. Hans M. Amman & David A. Kendrick, . "Computational Economics," Online economics textbooks, SUNY-Oswego, Department of Economics, number comp1.
    20. 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.
    21. Peters, H Elizabeth, 1992. "Patterns of Intergenerational Mobility in Income and Earnings," The Review of Economics and Statistics, MIT Press, vol. 74(3), pages 456-466, August.
    22. Dean R. Hyslop, 1999. "State Dependence, Serial Correlation and Heterogeneity in Intertemporal Labor Force Participation of Married Women," Econometrica, Econometric Society, vol. 67(6), pages 1255-1294, November.
    23. Heckman, James J, 1978. "A Partial Survey of Recent Research on the Labor Supply of Women," American Economic Review, American Economic Association, vol. 68(2), pages 200-207, May.
    24. Rust, John, 1996. "Numerical dynamic programming in economics," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 14, pages 619-729, Elsevier.
    25. Gritz, R. Mark, 1993. "The impact of training on the frequency and duration of employment," Journal of Econometrics, Elsevier, vol. 57(1-3), pages 21-51.
    26. Bover, Olympia, 1991. "Relaxing Intertemporal Separability: A Rational Habits Model of Labor Supply Estimated from Panel Data," Journal of Labor Economics, University of Chicago Press, vol. 9(1), pages 85-100, January.
    27. Atrostic, B K, 1982. "The Demand for Leisure and Nonpecuniary Job Characteristics," American Economic Review, American Economic Association, vol. 72(3), pages 428-440, June.
    28. Sherwin Rosen, 1972. "Learning and Experience in the Labor Market," Journal of Human Resources, University of Wisconsin Press, vol. 7(3), pages 326-342.
    29. Mark P. Moore & Priya Ranjan, 2005. "Globalisation vs Skill-Biased Technological Change: Implications for Unemployment and Wage Inequality," Economic Journal, Royal Economic Society, vol. 115(503), pages 391-422, April.
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    Cited by:

    1. Alexander Mosthaf & Thorsten Schank & Claus Schnabel, 2014. "Low-wage employment versus unemployment: Which one provides better prospects for women?," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-17, December.

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    More about this item

    Keywords

    occupational mobility; part-time employment;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

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