IDEAS home Printed from https://ideas.repec.org/p/irs/cepswp/2017-14.html
   My bibliography  Save this paper

The Effects of the Timing of Childbirth on Female Labour Supply: An Analysis using the Sequential Matching Approach

Author

Listed:
  • OKAMURA Kazuaki
  • ISLAM Nizamul

Abstract

In this study, we estimate the effects of childbirth on female labour supply by using Japanese data. The novel contributions of our study are twofold. Firstly, we include the effects of unobserved preferences on female labour supply. Secondly, we apply a dynamic version of the sequential matching approach to analyse the causal effects of childbirth on female labour market outcomes. The estimated results show that childbirth decreases current employment outcomes (participation in regular and non-regular work) and that this decrease is larger for regular employees than for non-regular employees. On the timing of childbirth, while the negative effects of childbirth on regular work increase by delaying the age at childbirth, these negative effects on non-regular employment slightly decrease by delaying the age at childbirth. On future employment outcomes, childbirth does not affect the probability of choosing non-regular work in the next period regardless of childbearing age. By contrast, delayed childbirth decreases the probability of choosing regular work in the next period significantly.

Suggested Citation

  • OKAMURA Kazuaki & ISLAM Nizamul, 2017. "The Effects of the Timing of Childbirth on Female Labour Supply: An Analysis using the Sequential Matching Approach," LISER Working Paper Series 2017-14, Luxembourg Institute of Socio-Economic Research (LISER).
    • Handle: RePEc:irs:cepswp:2017-14
    as

    Download full text from publisher

    File URL: https://www.liser.lu/publi_viewer.cfm?tmp=4123
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
    2. Asai, Yukiko, 2015. "Parental leave reforms and the employment of new mothers: Quasi-experimental evidence from Japan," Labour Economics, Elsevier, vol. 36(C), pages 72-83.
    3. Fitzenberger, Bernd & Sommerfeld, Katrin & Steffes, Susanne, 2013. "Causal effects on employment after first birth — A dynamic treatment approach," Labour Economics, Elsevier, vol. 25(C), pages 49-62.
    4. Heckman, James J. & Navarro, Salvador, 2007. "Dynamic discrete choice and dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 136(2), pages 341-396, February.
    5. Nakamura, Jiro & Ueda, Atsuko, 1999. "On the Determinants of Career Interruption by Childbirth among Married Women in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 13(1), pages 73-89, March.
    6. Fredriksson, Peter & Johansson, Per, 2008. "Dynamic Treatment Assignment," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 435-445.
    7. Michael Lechner & Ruth Miquel, 2010. "Identification of the effects of dynamic treatments by sequential conditional independence assumptions," Empirical Economics, Springer, vol. 39(1), pages 111-137, August.
    8. Shintaro Yamaguchi, 2016. "Effects of Parental Leave Policies on Female Career and Fertility Choices," Department of Economics Working Papers 2016-10, McMaster University.
    9. Abbring, Jaap H. & Heckman, James J., 2007. "Econometric Evaluation of Social Programs, Part III: Distributional Treatment Effects, Dynamic Treatment Effects, Dynamic Discrete Choice, and General Equilibrium Policy Evaluation," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 72, Elsevier.
    10. Angrist, Joshua D & Evans, William N, 1998. "Children and Their Parents' Labor Supply: Evidence from Exogenous Variation in Family Size," American Economic Review, American Economic Association, vol. 88(3), pages 450-477, June.
    11. Lechner, Michael, 2009. "Sequential Causal Models for the Evaluation of Labor Market Programs," Journal of Business & Economic Statistics, American Statistical Association, vol. 27, pages 71-83.
    12. Shintaro Yamaguchi, 2017. "Family Policies and Female Employment in Japan," The Japanese Economic Review, Springer, vol. 68(3), pages 305-322, September.
    13. Jaap H. Abbring & Gerard J. van den Berg, 2003. "The Nonparametric Identification of Treatment Effects in Duration Models," Econometrica, Econometric Society, vol. 71(5), pages 1491-1517, September.
    14. 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.
    15. Heckman, James J. & Humphries, John Eric & Veramendi, Gregory, 2016. "Dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 191(2), pages 276-292.
    16. Shintaro Yamaguchi, 2017. "Family Policies and Female Employment in Japan," The Japanese Economic Review, Japanese Economic Association, vol. 68(3), pages 305-322, September.
    17. Amalia Miller, 2011. "The effects of motherhood timing on career path," Journal of Population Economics, Springer;European Society for Population Economics, vol. 24(3), pages 1071-1100, July.
    18. Sianesi, Barbara, 2008. "Differential effects of active labour market programs for the unemployed," Labour Economics, Elsevier, vol. 15(3), pages 370-399, June.
    19. Yamaguchi, Shintaro, 2016. "Effects of Parental Leave Policies on Female Career and Fertility Choices," CEI Working Paper Series 2016-8, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    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. N. Islam, 1987. "Introduction to Part II," International Economic Association Series, in: Silvio Borner & Alwyn Taylor (ed.), Structural Change, Economic Interdependence and World Development, chapter 5, pages 51-63, Palgrave Macmillan.

    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. Matteo Picchio & Claudia Pigini & Stefano Staffolani & Alina Verashchagina, 2021. "If not now, when? The timing of childbirth and labor market outcomes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 663-685, September.
    2. Fitzenberger, Bernd & Sommerfeld, Katrin & Steffes, Susanne, 2013. "Causal effects on employment after first birth — A dynamic treatment approach," Labour Economics, Elsevier, vol. 25(C), pages 49-62.
    3. Jorge Rodríguez & Fernando Saltiel & Sergio Urzúa, 2022. "Dynamic treatment effects of job training," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 242-269, March.
    4. Stephen Kastoryano & Bas van der Klaauw, 2022. "Dynamic evaluation of job search assistance," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 227-241, March.
    5. Stefan Boes, 2009. "Partial Identification of Discrete Counterfactual Distributions with Sequential Update of Information," SOI - Working Papers 0918, Socioeconomic Institute - University of Zurich.
    6. Biewen, Martin & (neé Tapalaga), Madalina Thiele, 2020. "Early tracking, academic vs. vocational training, and the value of ‘second-chance’ options," Labour Economics, Elsevier, vol. 66(C).
    7. Han, Sukjin, 2021. "Identification in nonparametric models for dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 132-147.
    8. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    9. Rahul Singh & Liyuan Xu & Arthur Gretton, 2020. "Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves," Papers 2010.04855, arXiv.org, revised Oct 2022.
    10. Jaap Abbring & James Heckman, 2008. "Dynamic policy analysis," CeMMAP working papers CWP05/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Bernd Fitzenberger & Olga Orlanski & Aderonke Osikominu & Marie Paul, 2013. "Déjà Vu? Short-term training in Germany 1980–1992 and 2000–2003," Empirical Economics, Springer, vol. 44(1), pages 289-328, February.
    12. Vikman, Johan, 2014. "IPW estimation and related estimators for evaluation of active labor market policies in a dynamic setting," Working Paper Series, Center for Labor Studies 2014:8, Uppsala University, Department of Economics.
    13. Fitzenberger, Bernd & Osikominu, Aderonke & Paul, Marie, 2023. "The effects of training incidence and planned training duration on labor market transitions," Journal of Econometrics, Elsevier, vol. 235(1), pages 256-279.
    14. 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.
    15. Dalla-Zuanna, Antonio & Liu, Kai, 2019. "Understanding Program Complementarities: Estimating the Dynamic Effects of a Training Program with Multiple Alternatives," IZA Discussion Papers 12839, Institute of Labor Economics (IZA).
    16. Lechner, Michael, 2013. "Treatment effects and panel data," Economics Working Paper Series 1314, University of St. Gallen, School of Economics and Political Science.
    17. Christiane Hinerasky, 2014. "Advances in Training Evaluation - Psychological, Educational, Economic, and Econometric Perspectives on the Kirkpatrick Model," Working Papers Dissertations 14, Paderborn University, Faculty of Business Administration and Economics.
    18. Angelov, Nikolay & Johansson, Per & Lindahl, Erica, 2013. "Is the Persistent Gender Gap in Income and Wages Due to Unequal Family Responsibilities?," IZA Discussion Papers 7181, Institute of Labor Economics (IZA).
    19. Shosei Sakaguchi, 2021. "Estimation of Optimal Dynamic Treatment Assignment Rules under Policy Constraints," Papers 2106.05031, arXiv.org, revised Aug 2024.
    20. Nieto, Adrián, 2021. "Native-immigrant differences in the effect of children on the gender pay gap," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 654-680.

    More about this item

    Keywords

    Dynamic Treatment Approach; Sequential Matching Method;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

    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:irs:cepswp:2017-14. 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: Library and Documentation (email available below). General contact details of provider: https://edirc.repec.org/data/cepsslu.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.