IDEAS home Printed from https://ideas.repec.org/p/zbw/vfsc12/62049.html
   My bibliography  Save this paper

The Evolution of Wage Mobility in the German Low-Wage Sector - Is There Evidence for Increasing State Dependence?

Author

Listed:
  • Aretz, Bodo
  • Gürtzgen, Nicole

Abstract

In this paper, we study how wage mobility in the low-wage sector has changed in Western Germany between 1984 and 2004. Using German individual register data, we document a clear upward trend in the persistence of low-wage employment for both men and women. To explore whether the observed rise in persistence is accounted for by an increase in "genuine" state dependence or by compositional shifts of the low-wage sector, we model low-pay transitions by estimating a series of multivariate probit models. To address the initial conditions problem and the endogeneity of earnings attrition, our estimation approach accounts for the selection into low-wage employment and earnings retention. Using the estimates from the transition model, we determine the evolution of genuine state dependence which is defi ned as the average diff erence in low-pay transition probabilities conditional on being initially low and high paid, respectively. For men, our findings strongly argue against an upward trend of genuine state dependence, as the latter exhibits a fairly stationary development. This contrasts with women, whose evolution of genuine state dependence displays a slight upward trend.

Suggested Citation

  • Aretz, Bodo & Gürtzgen, Nicole, 2012. "The Evolution of Wage Mobility in the German Low-Wage Sector - Is There Evidence for Increasing State Dependence?," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62049, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc12:62049
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/62049/1/VfS_2012_pid_476.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eswar S. Prasad, 2004. "The Unbearable Stability of the German Wage Structure: Evidence and Interpretation," IMF Staff Papers, Palgrave Macmillan, vol. 51(2), pages 354-385.
    2. Daron Acemoglu, 2003. "Cross-Country Inequality Trends," Economic Journal, Royal Economic Society, vol. 113(485), pages 121-149, February.
    3. Lorenzo Cappellari & Stephen P. Jenkins, 2006. "Calculation of multivariate normal probabilities by simulation, with applications to maximum simulated likelihood estimation," Stata Journal, StataCorp LP, vol. 6(2), pages 156-189, June.
    4. Peter Gottschalk, 1997. "Inequality, Income Growth, and Mobility: The Basic Facts," Journal of Economic Perspectives, American Economic Association, vol. 11(2), pages 21-40, Spring.
    5. Dickens, Richard, 2000. "Caught in a Trap? Wage Mobility in Great Britain: 1975-1994," Economica, London School of Economics and Political Science, vol. 67(268), pages 477-497, November.
    6. Lorenzo Cappellari, 2007. "Earnings mobility among Italian low-paid workers," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(2), pages 465-482, April.
    7. Rhein, Thomas & Gartner, Hermann & Krug, Gerhard, 2005. "Niedriglohnsektor: Aufstiegschancen für Geringverdiener verschlechtert," IAB-Kurzbericht 200503, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    8. Lee, Sokbae & Wilke, Ralf A., 2009. "Reform of Unemployment Compensation in Germany: A Nonparametric Bounds Analysis Using Register Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(2), pages 193-205.
    9. Omori, Yoshiaki, 1997. "Stigma Effects of Nonemployment," Economic Inquiry, Western Economic Association International, vol. 35(2), pages 394-416, April.
    10. Biewen, Martin & Steffes, Susanne, 2010. "Unemployment persistence: Is there evidence for stigma effects?," Economics Letters, Elsevier, vol. 106(3), pages 188-190, March.
    11. Amanda Gosling & Stephen Machin & Costas Meghir, 2000. "The Changing Distribution of Male Wages in the U.K," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(4), pages 635-666.
    12. Moshe Buchinsky & Jennifer Hunt, 1999. "Wage Mobility In The United States," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 351-368, August.
    13. Christian Dustmann & Johannes Ludsteck & Uta Schönberg, 2009. "Revisiting the German Wage Structure," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 843-881.
    14. Lorenzo Cappellari & Stephen P. Jenkins, 2004. "Modelling low income transitions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(5), pages 593-610.
    15. Kohn, Karsten, 2006. "Rising Wage Dispersion, After All ! The German Wage Structure at the Turn of the Century," ZEW Discussion Papers 06-031, ZEW - Leibniz Centre for European Economic Research.
    16. Bauer, Thomas K. & Zimmermann, Klaus F., 1999. "Assessment of Possible Migration Pressure and its Labour Market Impact Following EU Enlargement to Central and Eastern Europe," IZA Research Reports 3, Institute of Labor Economics (IZA).
    17. Lorenzo Cappellari & Stephen P. Jenkins, 2003. "Multivariate probit regression using simulated maximum likelihood," Stata Journal, StataCorp LP, vol. 3(3), pages 278-294, September.
    18. Lorenzo Cappellari & Stephen P. Jenkins, 2004. "Modelling Low Pay Transition Probabilities, Accounting for Panel Attrition, Non-Response, and Initial Conditions," CESifo Working Paper Series 1232, CESifo.
    19. Bernd Fitzenberger & Aderonke Osikominu & Robert Völter, 2006. "Imputation Rules to Improve the Education Variable in the IAB Employment Subsample," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 126(3), pages 405-436.
    20. Lorenzo Cappellari, 2002. "Do the `working poor' stay poor? An analysis of low pay transitions in Italy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(2), pages 87-110, May.
    21. Mark B. Stewart & Joanna K. Swaffield, 1999. "Low Pay Dynamics and Transition Probabilities," Economica, London School of Economics and Political Science, vol. 66(261), pages 23-42, February.
    22. Levy, Frank & Murnane, Richard J, 1992. "U.S. Earnings Levels and Earnings Inequality: A Review of Recent Trends and Proposed Explanations," Journal of Economic Literature, American Economic Association, vol. 30(3), pages 1333-1381, September.
    23. Gernandt, Johannes, 2009. "Decreasing wage mobility in Germany," ZEW Discussion Papers 09-044, ZEW - Leibniz Centre for European Economic Research.
    24. Ben Lockwood, 1991. "Information Externalities in the Labour Market and the Duration of Unemployment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(4), pages 733-753.
    25. Wojciech Kopczuk & Emmanuel Saez & Jae Song, 2010. "Earnings Inequality and Mobility in the United States: Evidence from Social Security Data Since 1937," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 91-128.
    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. Aretz, Bodo & Gürtzgen, Nicole, 2012. "Was erklärt die zunehmende Persistenz von Niedriglohnbeschäftigung in Deutschland?," ZEW Wachstums- und Konjunkturanalysen, ZEW - Leibniz Centre for European Economic Research, vol. 15(2), pages 8-9.

    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. Aretz, Bodo & Gürtzgen, Nicole, 2012. "What explains the decline in wage mobility in the German low-wage sector?," ZEW Discussion Papers 12-041, ZEW - Leibniz Centre for European Economic Research.
    2. Aretz, Bodo, 2013. "Gender Differences in German Wage Mobility," IZA Discussion Papers 7158, Institute of Labor Economics (IZA).
    3. Riphahn, Regina T. & Schnitzlein, Daniel D., 2016. "Wage mobility in East and West Germany," Labour Economics, Elsevier, vol. 39(C), pages 11-34.
    4. 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].
    5. Sara Ayllón, 2013. "Understanding poverty persistence in Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 4(2), pages 201-233, June.
    6. 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].
    7. Dirk Antonczyk & Thomas DeLeire & Bernd Fitzenberger, 2018. "Polarization and Rising Wage Inequality: Comparing the U.S. and Germany," Econometrics, MDPI, vol. 6(2), pages 1-33, April.
    8. Mosthaf, Alexander & Schnabel, Claus & Stephani, Jens, 2011. "Low-wage careers: Are there dead-end firms and dead-end jobs?," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 43(3), pages 231-249.
    9. Arne Uhlendorff, 2006. "From No Pay to Low Pay and Back Again?: A Multi-State Model of Low Pay Dynamics," Discussion Papers of DIW Berlin 648, DIW Berlin, German Institute for Economic Research.
    10. Kanabar, Ricky, 2017. "In or out? Poverty dynamics among older individuals in the UK," Journal of Pension Economics and Finance, Cambridge University Press, vol. 16(4), pages 509-553, October.
    11. Lorenzo Cappellari, 2007. "Earnings mobility among Italian low-paid workers," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(2), pages 465-482, April.
    12. Alexander Plum, 2018. "Stochastic Expected Utility for Binary Choice: New Representations," Working Papers 2018-08, Auckland University of Technology, Department of Economics.
    13. 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.
    14. Schnitzlein, Daniel D. & Stephani, Jens, 2016. "Locus of Control and low-wage mobility," Journal of Economic Psychology, Elsevier, vol. 53(C), pages 164-177.
    15. Gernandt Johannes & Pfeiffer Friedhelm, 2007. "Rising Wage Inequality in Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(4), pages 358-380, August.
    16. Giulia Martina Tanzi, 2023. "Scars of Youth Non-employment and Labour Market Conditions," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(2), pages 475-499, July.
    17. 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].
    18. Aysit Tansel & Başak Dalgıç & Aytekin Güven, 2019. "Wage Inequality and Wage Mobility in Turkey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(1), pages 107-129, February.
    19. Coban, Mustafa, 2017. "Wage mobility, wage inequality, and tasks: Empirical evidence from Germany, 1984-2014," Discussion Paper Series 139, Julius Maximilian University of Würzburg, Chair of Economic Order and Social Policy.
    20. Maite Blázquez Cuesta & Wiemer Salverda, 2009. "Low‐wage Employment and the Role of Education and On‐the‐job Training," LABOUR, CEIS, vol. 23(s1), pages 5-35, March.

    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets

    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:zbw:vfsc12:62049. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/vfsocea.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.