IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp729.html
   My bibliography  Save this paper

Children and Women's Participation Dynamics: Transitory and Long-Term Effects

Author

Listed:
  • Voicu, Alexandru

    (CUNY - College of Staten Island)

  • Buddelmeyer, Hielke

    (Melbourne Institute of Applied Economic and Social Research)

Abstract

Children affect the after-birth labor force participation of women in two ways. Directly, the time spent in child-care reduces the labor market effort. The time spent out of the labor market while on maternity leave alters women's participation experience and, thus, indirectly affects subsequent participation behavior. This paper proposes a model that disentangles the direct and indirect effect of children on women's labor force participation, and evaluates their relative importance. Participation decisions on a three-state space - employed full-time, employed part-time, not employed - are represented by a multivariate probit model with a general correlation structure. The model allows for a high degree of flexibility in modeling the dependence of sequential decisions. The estimation is performed using Markov chain Monte Carlo methods. It is shown that the indirect effect, through time out of the labor market, is more important. The discrepancy is sharper for full-time employment and grows with the length of the interruption.

Suggested Citation

  • Voicu, Alexandru & Buddelmeyer, Hielke, 2003. "Children and Women's Participation Dynamics: Transitory and Long-Term Effects," IZA Discussion Papers 729, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp729
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp729.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Geweke, John, 1989. "Bayesian Inference in Econometric Models Using Monte Carlo Integration," Econometrica, Econometric Society, vol. 57(6), pages 1317-1339, November.
    2. Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
    3. Becker, Gary S, 1985. "Human Capital, Effort, and the Sexual Division of Labor," Journal of Labor Economics, University of Chicago Press, vol. 3(1), pages 33-58, January.
    4. Boeri, Tito & Flinn, Christopher J., 1999. "Returns to Mobility in the Transition to a Market Economy," Journal of Comparative Economics, Elsevier, vol. 27(1), pages 4-32, March.
    5. Shorrocks, A F, 1978. "The Measurement of Mobility," Econometrica, Econometric Society, vol. 46(5), pages 1013-1024, September.
    6. Francine D. Blau & Marianne A. Ferber, 1991. "Career Plans and Expectations of Young Women and Men: The Earnings Gap and Labor Force Participation," Journal of Human Resources, University of Wisconsin Press, vol. 26(4), pages 581-607.
    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. World Bank, 2007. "Chile - County Gender Assessment : Expanding Women's Work Choices to Enhance Chile's Economic Potential," World Bank Publications - Reports 7639, The World Bank Group.
    2. Colm Harmon & Claire Finn & Arnaud Chevalier & Tarja Viitanen, 2006. "The economics of early childhood care and education : technical research paper for the National Economic and Social Forum," Open Access publications 10197/671, School of Economics, University College Dublin.
    3. Troske, Kenneth R. & Voicu, Alexandru, 2010. "Joint estimation of sequential labor force participation and fertility decisions using Markov chain Monte Carlo techniques," Labour Economics, Elsevier, vol. 17(1), pages 150-169, January.
    4. Pierre-Carl Michaud & Konstantinos Tatsiramos, 2005. "Employment Dynamics of Married Women in Europe," Working Papers WR-273, RAND Corporation.
    5. Michaud, Pierre-Carl & Tatsiramos, Konstantinos, 2005. "Employment Dynamics of Married Women in Europe," IZA Discussion Papers 1706, Institute for the Study of Labor (IZA).
    6. Johannes Geyer & Viktor Steiner, 2007. "Short-Run and Long-Term Effects of Childbirth on Mothers' Employment and Working Hours across Institutional Regimes: An Empirical Analysis Based on the European Community Household Panel," Discussion Papers of DIW Berlin 682, DIW Berlin, German Institute for Economic Research.
    7. Katrin Sommerfeld, 2009. "Older Babies - More Active Mothers? How Maternal Labor Supply Changes as the Child Grows," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 129(2), pages 227-240.
    8. Elena Bardasi & Chiara Monfardini, 2004. "Women's Employment, Children and Transition: An Empirical Analysis on Poland," Eastward Enlargement of the Euro-zone Working Papers wp25, Free University Berlin, Jean Monnet Centre of Excellence, revised 15 Oct 2004.
    9. Kristian Orsini & Antje Mertens & Felix B chel, 2003. "Is Mothers Employment an Effective Means to Fight Family Poverty? Empirical Evidence from Seven European Countries," LIS Working papers 363, LIS Cross-National Data Center in Luxembourg.

    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. Voicu, Alexandru, 2005. "Employment dynamics in the Romanian labor market. A Markov chain Monte Carlo approach," Journal of Comparative Economics, Elsevier, vol. 33(3), pages 604-639, September.
    2. Troske, Kenneth R. & Voicu, Alexandru, 2010. "Joint estimation of sequential labor force participation and fertility decisions using Markov chain Monte Carlo techniques," Labour Economics, Elsevier, vol. 17(1), pages 150-169, January.
    3. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    4. Jenkins, Amanda & Velandia, Margarita & Lambert, Dayton M. & Roberts, Roland K. & Larson, James A. & English, Burton C. & Martin, Steven W., 2011. "Factors Influencing the Selection of Precision Farming Information Sources by Cotton Producers," Agricultural and Resource Economics Review, Cambridge University Press, vol. 40(2), pages 307-320, September.
    5. Falk Bräuning & Siem Jan Koopman, 2016. "The dynamic factor network model with an application to global credit risk," Working Papers 16-13, Federal Reserve Bank of Boston.
    6. Mesters, G. & Koopman, S.J., 2014. "Generalized dynamic panel data models with random effects for cross-section and time," Journal of Econometrics, Elsevier, vol. 180(2), pages 127-140.
    7. Weiping Kostenko, 2009. "Does Labour Market Achievement Matter for the Wellbeing of Australian Immigrants? Culture and Gender Differences," Melbourne Institute Working Paper Series wp2009n21, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    8. Hanna Hottenrott & Bettina Peters, 2012. "Innovative Capability and Financing Constraints for Innovation: More Money, More Innovation?," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1126-1142, November.
    9. Daziano, Ricardo A., 2015. "Inference on mode preferences, vehicle purchases, and the energy paradox using a Bayesian structural choice model," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 1-26.
    10. Melanie Ward-Warmedinger & Corrado Macchiarelli, 2014. "Transitions in labour market status in EU labour markets," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-25, December.
    11. Laurent Davezies & Xavier D'Haultfoeuille & Denis Fougère, 2009. "Identification of peer effects using group size variation," Econometrics Journal, Royal Economic Society, vol. 12(3), pages 397-413, November.
    12. Hung‐pin Lai & Subal C. Kumbhakar, 2020. "Estimation of a dynamic stochastic frontier model using likelihood‐based approaches," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(2), pages 217-247, March.
    13. Richard Gates, 2006. "A Mata Geweke–Hajivassiliou–Keane multivariate normal simulator," Stata Journal, StataCorp LP, vol. 6(2), pages 190-213, June.
    14. Philipp Eisenhauer & James J. Heckman & Stefano Mosso, 2015. "Estimation Of Dynamic Discrete Choice Models By Maximum Likelihood And The Simulated Method Of Moments," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(2), pages 331-357, May.
    15. Christelis, Dimitris & Georgarakos, Dimitris & Haliassos, Michael, 2009. "Stockholding: From participation to location and to participation spillovers," CFS Working Paper Series 2009/02, Center for Financial Studies (CFS).
    16. Christelis, Dimitris & Georgarakos, Dimitris, 2013. "Investing at home and abroad: Different costs, different people?," Journal of Banking & Finance, Elsevier, vol. 37(6), pages 2069-2086.
    17. Anja Lambrecht & Katja Seim & Catherine Tucker, 2011. "Stuck in the Adoption Funnel: The Effect of Interruptions in the Adoption Process on Usage," Marketing Science, INFORMS, vol. 30(2), pages 355-367, 03-04.
    18. Lucchetti, Riccardo & Pigini, Claudia, 2017. "DPB: Dynamic Panel Binary Data Models in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i08).
    19. W. Kuiper & Anton Cozijnsen, 2011. "The Performance of German Firms in the Business-Related Service Sectors Revisited: Differential Evolution Markov Chain Estimation of the Multinomial Probit Model," Computational Economics, Springer;Society for Computational Economics, vol. 37(4), pages 331-362, April.
    20. Christian Aßmann & Jens Boysen-Hogrefe & Nils Jannsen, 2013. "Costs Of Housing Crises: International Evidence," Bulletin of Economic Research, Wiley Blackwell, vol. 65(4), pages 299-313, October.

    More about this item

    Keywords

    female labor supply; multivariate probit model; Gibbs sampler;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

    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:iza:izadps:dp729. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.