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Low-wage employment versus unemployment: which one provides better prospects for women?

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  • Mosthaf, Alexander
  • Schank, Thorsten
  • Schnabel, Claus

Abstract

This study analyzes state dependence in low-wage employment of western German women using GSOEP data, 2000-2006. We estimate dynamic multinomial logit models with random effects and find that having a low-wage job increases the probability of being low-paid and decreases the chances of being high-paid in the future, in particular for low-paid women working part-time. However, concerning future wage prospects low-paid women are clearly better off than unemployed or inactive women. We argue that for women low-wage jobs can serve as stepping stones out of unemployment and are to be preferred to staying unemployed and waiting for a better job.

Suggested Citation

  • Mosthaf, Alexander & Schank, Thorsten & Schnabel, Claus, 2009. "Low-wage employment versus unemployment: which one provides better prospects for women?," FAU Discussion Papers in Economics 14/2009, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    • Handle: RePEc:zbw:iwqwdp:142009
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    Cited by:

    1. Plum, Alexander & Knies, Gundi, 2015. "Earnings prospects for low-paid workers higher than for the unemployed but only in high-pay areas with high unemployment," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112845, Verein für Socialpolitik / German Economic Association.
    2. Claus Schnabel, 2021. "Low-wage employment," IZA World of Labor, Institute of Labor Economics (IZA), pages 276-276, March.
    3. Plum, Alexander & Knies, Gundi, 2015. "Does neighbourhood unemployment affect the springboard effect of low pay?," ISER Working Paper Series 2015-20, Institute for Social and Economic Research.
    4. Lixin Cai, 2015. "The dynamics of low pay employment in Australia," International Journal of Manpower, Emerald Group Publishing Limited, vol. 36(7), pages 1095-1123, October.
    5. Hirsch, Boris & Schnabel, Claus, 2011. "Let's take bargaining models seriously: The decline in union power in Germany, 1992 - 2009," FAU Discussion Papers in Economics 10/2011, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    6. Hirsch, Boris & Mueller, Steffen, 2010. "Temporary agency work and the user firm's productivity: First evidence from German Panel Data," Discussion Papers 68, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    7. Stephani, Jens, 2012. "Wage growth and career patterns of German low-wage workers," IAB-Discussion Paper 201201, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    8. Boris Hirsch & Steffen Mueller, 2014. "Firm leadership and the gender pay gap: do active owners discriminate more than hired managers?," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 47(1), pages 129-142, March.
    9. Plum Alexander, 2016. "Can Low-Wage Employment Help People Escape from the No-Pay – Low-Income Trap?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 16(4), pages 1-28, October.
    10. Mosthaf, Alexander, 2011. "Low-wage jobs - stepping stones or just bad signals?," IAB-Discussion Paper 201111, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    11. Daniel D. Schnitzlein & Jens Stephani, 2011. "Lohnmobilität von jüngeren Geringverdienern in Deutschland," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 80(4), pages 13-30.
    12. Andreas Knabe & Alexander Plum, 2013. "Low-wage Jobs — Springboard to High-paid Ones?," LABOUR, CEIS, vol. 27(3), pages 310-330, September.
    13. Mosthaf, Alexander & Schank, Thorsten & Schwarz, Stefan, 2021. "Do Supplementary Jobs for Welfare Recipients Increase the Chance of Welfare Exit? Evidence from Germany," IZA Discussion Papers 14268, Institute of Labor Economics (IZA).
    14. Alexander Mosthaf, 2014. "Do Scarring Effects of Low-Wage Employment and Non-Employment Differ BETWEEN Levels of Qualification?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(2), pages 154-177, May.
    15. Schnitzlein, Daniel D. & Stephani, Jens, 2016. "Locus of Control and low-wage mobility," Journal of Economic Psychology, Elsevier, vol. 53(C), pages 164-177.
    16. Wunder, Christoph & Riphahn, Regina, 2013. "Welfare transitions before and after reforms of the German welfare system," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79715, Verein für Socialpolitik / German Economic Association.
    17. Günther Schmid, 2015. "Sharing Risks of Labour Market Transitions: Towards a System of Employment Insurance," British Journal of Industrial Relations, London School of Economics, vol. 53(1), pages 70-93, March.
    18. Pritadrajati, Dyah S. & Kusuma, Anggita C.M. & Saxena, Sweta C., 2021. "Scarred for life: Lasting consequences of unemployment and informal self-employment," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 206-219.
    19. Dyah S. Pritadrajati & Anggita C. M. Kusuma & Sweta C. Saxena, 2020. "A Non-Healing Wound: Lasting Consequences Of Unemployment And Informal Self-Employment: An Empirical Evidence From Indonesia," Working Papers WP/09/2020, Bank Indonesia.
    20. Stephani, Jens, 2013. "Does it matter where you work? : employer characteristics and the wage growth of low-wage workers and higher-wage workers," IAB-Discussion Paper 201304, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    21. Alexander Plum & Gundi Knies, 2019. "Local unemployment changes the springboard effect of low pay: Evidence from England," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-22, November.

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    More about this item

    Keywords

    low-pay dynamics; state dependence; dynamic multinomial logit model;
    All these keywords.

    JEL classification:

    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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