IDEAS home Printed from https://ideas.repec.org/p/rtv/ceisrp/246.html
   My bibliography  Save this paper

Low-Wage Jobs – Springboard to High-Paid Ones?

Author

Listed:
  • Andreas Knabe

    (Otto-von-Guericke University Magdeburg and CESifo)

  • Alexander Plum

    () (Otto-von-Guericke University Magdeburg)

Abstract

We examine whether low-paid jobs have an effect on the probability that unemployed persons obtain better-paid jobs in the future (springboard effect). We make use of data from the German Socio-Economic Panel (SOEP) and apply a dynamic random-effects probit model. Our results suggest that low-wage jobs can act as springboards to better-paid work. The improvement of the chance to obtain a high-wage job by accepting low-paid work is particularly large for less-skilled persons and for individuals with longer periods of unemployment. Low-paid work is less beneficial if the job is associated with a low social status.

Suggested Citation

  • Andreas Knabe & Alexander Plum, 2012. "Low-Wage Jobs – Springboard to High-Paid Ones?," CEIS Research Paper 246, Tor Vergata University, CEIS, revised 26 Jul 2012.
  • Handle: RePEc:rtv:ceisrp:246
    as

    Download full text from publisher

    File URL: ftp://www.ceistorvergata.it/repec/rpaper/RP246.pdf
    File Function: Main text
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    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.
    2. Flinn, Christopher J & Heckman, James J, 1983. "Are Unemployment and Out of the Labor Force Behaviorally Distinct Labor Force States?," Journal of Labor Economics, University of Chicago Press, vol. 1(1), pages 28-42, January.
    3. Layard, Richard & Nickell, Stephen & Jackman, Richard, 2005. "Unemployment: Macroeconomic Performance and the Labour Market," OUP Catalogue, Oxford University Press, number 9780199279173.
    4. Lorenzo Cappellari & Stephen P. Jenkins, 2008. "Estimating low pay transition probabilities accounting for endogenous selection mechanisms," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(2), pages 165-186.
    5. Vishwanath, Tara, 1989. "Job Search, Stigma Effect, and Escape Rate from Unemployment," Journal of Labor Economics, University of Chicago Press, vol. 7(4), pages 487-502, October.
    6. Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics,in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318 Elsevier.
    7. Uhlendorff, Arne, 2006. "From No Pay to Low Pay and Back Again? A Multi-State Model of Low Pay Dynamics," IZA Discussion Papers 2482, Institute for the Study of Labor (IZA).
    8. Schank, Thorsten & Schnabel, Claus & Stephani, Jens, 2008. "Geringverdiener: wem und wie gelingt der Aufstieg?," Discussion Papers 57, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    9. Heckman, James J & Borjas, George J, 1980. "Does Unemployment Cause Future Unemployment? Definitions, Questions and Answers from a Continuous Time Model of Heterogeneity and State Dependence," Economica, London School of Economics and Political Science, vol. 47(187), pages 247-283, August.
    10. James J. Heckman, 2001. "Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 673-748, August.
    11. Hans-Werner Sinn & Christian Holzner & Wolfgang Meister & Wolfgang Ochel & Martin Werding, 2006. "Redesigning the Welfare State," Books, Edward Elgar Publishing, number 12596, April.
    12. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    13. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
    14. Mark B. Stewart, 2007. "The interrelated dynamics of unemployment and low-wage employment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 511-531.
    15. Stewart, Mark B & Swaffield, Joanna K, 1999. "Low Pay Dynamics and Transition Probabilities," Economica, London School of Economics and Political Science, vol. 66(261), pages 23-42, February.
    16. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    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. 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," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112845, Verein für Socialpolitik / German Economic Association.
    2. Claus Schnabel, 2016. "Low-wage employment," IZA World of Labor, Institute for the Study of Labor (IZA), pages 276-276, July.
    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. Boll, Christina & Boysen-Hogrefe, Jens & Wolf, André, 2017. "Wie viel Soziale Marktwirtschaft steckt in den Wahlprogrammen zur Bundestagswahl 2017?," HWWI Policy Papers 105, Hamburg Institute of International Economics (HWWI).
    5. Wolf, Tobias & Hetschko, Clemens & Schöb, Ronnie, 2016. "Income Support, (Un-)Employment and Well-Being," Annual Conference 2016 (Augsburg): Demographic Change 145860, Verein für Socialpolitik / German Economic Association.
    6. Gavrel, Frédéric & Lebon, Isabelle & Rebière, Thérèse, 2016. "Formal education versus learning-by-doing: On the labor market efficiency of educational choices," Economic Modelling, Elsevier, vol. 54(C), pages 545-562.
    7. Daniel D. Schnitzlein & Jens Stephani, 2013. "Locus of Control and Low-Wage Mobility," SOEPpapers on Multidisciplinary Panel Data Research 589, DIW Berlin, The German Socio-Economic Panel (SOEP).
    8. Alam, Moudud & Carling, Kenneth & Nääs, Ola, 2013. "The effect of summer jobs on post-schooling incomes," Working Paper Series 2013:24, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    9. Dutz, Mark A., 2013. "Resource reallocation and innovation : converting enterprise risks into opportunities," Policy Research Working Paper Series 6534, The World Bank.
    10. 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.
    11. Thérèse REBIÈRE & Frédéric GAVREL & Isabelle LEBON, "undated". "Formal Education Versus Learning-by-doing," EcoMod2009 21500078, EcoMod.
    12. Alexander Plum, 2014. "The British Low-Wage Sector and the Employment Prospects of the Unemployed," FEMM Working Papers 140004, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    13. Cai, Lixin & Mavromaras, Kostas G. & Sloane, Peter J., 2016. "Low Paid Employment in Britain: Estimating State-Dependence and Stepping Stone Effects," IZA Discussion Papers 9633, Institute for the Study of Labor (IZA).

    More about this item

    Keywords

    dynamic random effects models; low pay dynamics; state dependence; unemployment dynamics;

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:rtv:ceisrp:246. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Barbara Piazzi). General contact details of provider: http://edirc.repec.org/data/csrotit.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.