IDEAS home Printed from https://ideas.repec.org/p/jku/nrnwps/2011_04.html
   My bibliography  Save this paper

A Bayesian Analysis of Female Wage Dynamics Using Markov Chain Clustering

Author

Abstract

In this work, we analyze wage careers of women in Austria. We identify groups of female employees with similar patterns in their earnings development. Covariates such as e.g. the age of entry, the number of children or maternity leave help to detect these groups. We find three different types of female employees: (1) “high-wage mums”, women with high income and one or two children, (2) “low-wage mums”, women with low income and ‘many’ children and (3) “childless careers”, women who climb up the career ladder and do not have children. We use a Markov chain clustering approach to find groups in the discretevalued time series of income states. Additional covariates are included when modeling group membership via a multinomial logit model.

Suggested Citation

  • Christoph Pamminger & Regina Tüchler, 2011. "A Bayesian Analysis of Female Wage Dynamics Using Markov Chain Clustering," NRN working papers 2011-04, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
    • Handle: RePEc:jku:nrnwps:2011_04
    as

    Download full text from publisher

    File URL: http://www.labornrn.at/wp/2011/wp1104.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sylvia Frühwirth‐Schnatter & Christoph Pamminger & Andrea Weber & Rudolf Winter‐Ebmer, 2012. "Labor market entry and earnings dynamics: Bayesian inference using mixtures‐of‐experts Markov chain clustering," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(7), pages 1116-1137, November.
    2. Andrea Weber, 2002. "State dependence and wage dynamics: a heterogeneous Markov chain model for wage mobility in Austria," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 D2-2, International Conferences on Panel Data.
    3. Josef Zweim�ller & Rudolf Winter-Ebmer & Rafael Lalive & Andreas Kuhn & Jean-Philippe Wuellrich & Oliver Ruf & Simon B�chi, 2009. "Austrian social security database," IEW - Working Papers 410, Institute for Empirical Research in Economics - University of Zurich.
      • Josef Zweimüller & Rudolf Winter-Ebmer & Rafael Lalive & Andreas Kuhn & Jean-Philippe Wuellrich & Oliver Ruf & Simon Büchi, 2009. "Austrian Social Security Database," NRN working papers 2009-03, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
    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. Sylvia Frühwirth-Schnatter & Christoph Pamminger & Andrea Weber & Rudolf Winter-Ebmer, 2016. "Mothers' long-run career patterns after first birth," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(3), pages 707-725, June.
    2. Sylvia Frühwirth-Schnatter & Stefan Pittner & Andrea Weber & Rudolf Winter-Ebmer, 2016. "Analysing Plant Closure Effects Using Time-Varying Mixture-of-Experts Markov Chain Clustering," Economics working papers 2016-10, Department of Economics, Johannes Kepler University Linz, Austria.

    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. Frühwirth-Schnatter, Sylvia & Pamminger, Christoph & Weber, Andrea & Winter-Ebmer, Rudolf, 2014. "When Is The Best Time To Give Birth?," Economics Series 308, Institute for Advanced Studies.
    2. Sylvia Frühwirth‐Schnatter & Christoph Pamminger & Andrea Weber & Rudolf Winter‐Ebmer, 2012. "Labor market entry and earnings dynamics: Bayesian inference using mixtures‐of‐experts Markov chain clustering," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(7), pages 1116-1137, November.
    3. Winter-Ebmer, Rudolf & Weber, Andrea & Frühwirth-Schnatter, Sylvia & Pamminger, Christoph, 2014. "When Is The Best Time To Give Birth - Career Effects Of Early Birth Decisions," CEPR Discussion Papers 10132, C.E.P.R. Discussion Papers.
    4. Beatrice Brunner & Andreas Kuhn, 2010. "The Impact of Labor Market Entry Condition on Initial Job Assignment, Human Capital Accumulation, and Wages," NRN working papers 2010-15, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
    5. Martin Kerndler & Michael Reiter, 2020. "Wage Rigidities and Old-Age Unemployment," EconPol Policy Brief 22, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    6. Halla, Martin & Mayr, Harald & Pruckner, Gerald J. & García-Gómez, Pilar, 2020. "Cutting fertility? Effects of cesarean deliveries on subsequent fertility and maternal labor supply," Journal of Health Economics, Elsevier, vol. 72(C).
    7. Nora Prean & Karin Mayr, 2012. "Unemployment of immigrants and natives over the business cycle: evidence from the Austrian labor market," Norface Discussion Paper Series 2012019, Norface Research Programme on Migration, Department of Economics, University College London.
    8. Staubli, Stefan & Zweimüller, Josef, 2011. "Does Raising the Retirement Age Increase Employment of Older Workers?," IZA Discussion Papers 5863, Institute of Labor Economics (IZA).
    9. Natalia Danzer & Martin Halla & Nicole Schneeweis & Martina Zweimüller, 2022. "Parental Leave, (In)formal Childcare, and Long-Term Child Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 57(6), pages 1826-1884.
    10. Saygin, Perihan & Weber, Andrea & Weynandt, Michèle, 2014. "Coworkers, Networks, and Job Search Outcomes," IZA Discussion Papers 8174, Institute of Labor Economics (IZA).
    11. Ichino, Andrea & Schwerdt, Guido & Winter-Ebmer, Rudolf & Zweimüller, Josef, 2017. "Too old to work, too young to retire?," The Journal of the Economics of Ageing, Elsevier, vol. 9(C), pages 14-29.
    12. Boone, Jan & van Ours, Jan C. & Wuellrich, Jean-Philippe & Zweimüller, Josef, 2011. "Recessions are bad for workplace safety," Journal of Health Economics, Elsevier, vol. 30(4), pages 764-773, July.
    13. Sara Ayllón, 2015. "Youth Poverty, Employment, and Leaving the Parental Home in Europe," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(4), pages 651-676, December.
    14. Wolfgang Frimmel & Martin Halla & Rudolf Winter-Ebmer, 2014. "Can Pro-Marriage Policies Work? An Analysis of Marginal Marriages," Demography, Springer;Population Association of America (PAA), vol. 51(4), pages 1357-1379, August.
    15. Böheim, Renè & Horvath, Gerard Thomas & Winter-Ebmer, Rudolf, 2011. "Great expectations: Past wages and unemployment durations," Labour Economics, Elsevier, vol. 18(6), pages 778-785.
    16. David Card & David S. Lee & Zhuan Pei & Andrea Weber, 2015. "Inference on Causal Effects in a Generalized Regression Kink Design," Econometrica, Econometric Society, vol. 83, pages 2453-2483, November.
    17. Bernhard Schmidpeter, 2015. "The Fatal Consequences of Grief," CDL Aging, Health, Labor working papers 2015-07, The Christian Doppler (CD) Laboratory Aging, Health, and the Labor Market, Johannes Kepler University Linz, Austria.
    18. Gerald J. Pruckner & Thomas Schober & Katrin Zocher, 2020. "The company you keep: health behavior among work peers," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(2), pages 251-259, March.
    19. Simon Jäger & Benjamin Schoefer & Samuel Young & Josef Zweimüller, 2020. "Wages and the Value of Nonemployment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 1905-1963.
    20. Rafael Lalive & Camille Landais & Josef Zweimüller, 2015. "Market Externalities of Large Unemployment Insurance Extension Programs," American Economic Review, American Economic Association, vol. 105(12), pages 3564-3596, December.

    More about this item

    Keywords

    Income Career; Transition Data; Multinomial Logit; Auxiliary Mixture Sampler; Markov Chain Monte Carlo;
    All these keywords.

    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:jku:nrnwps:2011_04. 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: René Böheim (email available below). General contact details of provider: https://edirc.repec.org/data/aclawat.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.