IDEAS home Printed from https://ideas.repec.org/p/hai/wpaper/202104.html
   My bibliography  Save this paper

Paid Childcare Leave, Fertility, and Female Labor Supply in South Korea

Author

Listed:
  • Kyeongkuk Kim

    (Ministry of Finance, South Korea)

  • Sang-Hyop Lee

    (University of Hawaii at Manoa)

  • Timothy J. Halliday

    (University of Hawai‘i)

Abstract

We consider the effects of a paid childcare leave subsidy on maternal behavior in South Korea. We employ both difference-in-difference and regression kink techniques. The subsidies had very large behavioral effects. Regression kink estimates indicate that an extra dollar of the monthly subsidy (on annual basis) increased conceptions by 0.06-0.08 percentage points. Difference-in-difference estimates indicate that paid leave subsidies also increased permanent working arrangements by ten percentage points for lower earning women and four percentage points for higher earning women. In a country with the lowest total fertility rate in the world and that often performs middling in rankings of gender inequality, we conclude that paid childcare leave for working women confers positive benefits.

Suggested Citation

  • Kyeongkuk Kim & Sang-Hyop Lee & Timothy J. Halliday, 2021. "Paid Childcare Leave, Fertility, and Female Labor Supply in South Korea," Working Papers 202104, University of Hawaii at Manoa, Department of Economics.
  • Handle: RePEc:hai:wpaper:202104
    as

    Download full text from publisher

    File URL: http://www.economics.hawaii.edu/research/workingpapers/WP_21-04.pdf
    File Function: First version, 2021
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Michael P. Keane & Kenneth I. Wolpin, 2010. "The Role Of Labor And Marriage Markets, Preference Heterogeneity, And The Welfare System In The Life Cycle Decisions Of Black, Hispanic, And White Women," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(3), pages 851-892, August.
    3. Marianne Simonsen & Lars Skipper & Niels Skipper, 2016. "Price Sensitivity of Demand for Prescription Drugs: Exploiting a Regression Kink Design," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(2), pages 320-337, March.
    4. Alma Cohen & Rajeev Dehejia & Dmitri Romanov, 2013. "Financial Incentives and Fertility," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 1-20, March.
    5. 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.
    6. Guy Laroque & Bernard Salanié, 2014. "Identifying The Response Of Fertility To Financial Incentives," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 314-332, March.
    7. Kevin Milligan, 2005. "Subsidizing the Stork: New Evidence on Tax Incentives and Fertility," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 539-555, August.
    8. J. P. Florens & J. J. Heckman & C. Meghir & E. Vytlacil, 2008. "Identification of Treatment Effects Using Control Functions in Models With Continuous, Endogenous Treatment and Heterogeneous Effects," Econometrica, Econometric Society, vol. 76(5), pages 1191-1206, September.
    9. Raute, Anna, 2019. "Can financial incentives reduce the baby gap? Evidence from a reform in maternity leave benefits," Journal of Public Economics, Elsevier, vol. 169(C), pages 203-222.
    10. GiSeung Kim & Joonmo Cho, 2009. "Entry dynamics of self-employment in South Korea," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 21(3), pages 303-323, May.
    11. Joseph G. Altonji & Rosa L. Matzkin, 2005. "Cross Section and Panel Data Estimators for Nonseparable Models with Endogenous Regressors," Econometrica, Econometric Society, vol. 73(4), pages 1053-1102, July.
    12. Wolpin, Kenneth I, 1984. "An Estimable Dynamic Stochastic Model of Fertility and Child Mortality," Journal of Political Economy, University of Chicago Press, vol. 92(5), pages 852-874, October.
    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. Wookun Kim, 2023. "Baby Bonus, Fertility, and Missing Women," Departmental Working Papers 2308, Southern Methodist University, Department of Economics.
    2. Rannveig Kaldager Hart & Janna Bergsvik & Agnes Fauske & Wookun Kim, 2023. "Causal Analysis of Policy Effects on Fertility," CESifo Working Paper Series 10690, CESifo.

    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. Michihito Ando, 2017. "How much should we trust regression-kink-design estimates?," Empirical Economics, Springer, vol. 53(3), pages 1287-1322, November.
    2. Malte Sandner & Frederik Wiynck, 2023. "The Fertility Response to Cutting Child-Related Welfare Benefits," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(2), pages 1-29, April.
    3. Deiana, Claudio & Geraci, Andrea & Mazzarella, Gianluca & Sabatini, Fabio, 2022. "Can relief measures nudge compliance in a public health crisis? Evidence from a kinked fiscal policy rule," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 407-428.
    4. Jérôme Adda & Christian Dustmann & Katrien Stevens, 2017. "The Career Costs of Children," Journal of Political Economy, University of Chicago Press, vol. 125(2), pages 293-337.
    5. Anna Raute, 2018. "Can financial incentives reduce the baby gap? Evidence from a reform in maternity leave benefits," Working Papers 871, Queen Mary University of London, School of Economics and Finance.
    6. Slonimczyk, Fabián & Yurko, Anna, 2014. "Assessing the impact of the maternity capital policy in Russia," Labour Economics, Elsevier, vol. 30(C), pages 265-281.
    7. Raute, Anna, 2019. "Can financial incentives reduce the baby gap? Evidence from a reform in maternity leave benefits," Journal of Public Economics, Elsevier, vol. 169(C), pages 203-222.
    8. Erich Battistin & Michele De Nadai & Mario Padula, 2015. "Roadblocks on the Road to Grandma�s House: Fertility Consequences of Delayed Retirement," Working Papers 748, Queen Mary University of London, School of Economics and Finance.
    9. 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.
    10. Edoardo Frattola, 2023. "Parental retirement and fertility decisions across family policy regimes," Temi di discussione (Economic working papers) 1417, Bank of Italy, Economic Research and International Relations Area.
    11. Asakawa, Shinsuke & Sasaki, Masaru, 2022. "Can child benefit reductions increase maternal employment? Evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 66(C).
    12. Libertad González & Sofia Karina Trommlerová, 2023. "Cash Transfers and Fertility: How the Introduction and Cancellation of a Child Benefit Affected Births and Abortions," Journal of Human Resources, University of Wisconsin Press, vol. 58(3), pages 783-818.
    13. Pinto,Maria Florencia & Posadas,Josefina & Shapira,Gil, 2021. "Financial Incentives, Fertility, and Son Preference in Armenia," Policy Research Working Paper Series 9705, The World Bank.
    14. Elmallakh, Nelly, 2021. "Fertility, Family Policy, and Labor Supply: Quasi-Experimental Evidence from France," GLO Discussion Paper Series 984, Global Labor Organization (GLO).
    15. Padula, Mario & Battistin, Erich & De Nadai, Michele, 2014. "Roadblocks on the Road to Grandma's House: Fertility Consequences of Delayed Retirement," CEPR Discussion Papers 9945, C.E.P.R. Discussion Papers.
    16. Gordon B. Dahl & Runjing Lu & William Mullins, 2022. "Partisan Fertility and Presidential Elections," American Economic Review: Insights, American Economic Association, vol. 4(4), pages 473-490, December.
    17. Zhuan Pei & David Card & David S. Lee & Andrea Weber, 2012. "Nonlinear Policy Rules and the Identification and Estimation of Causal Effects in a Generalized Regression Kink Design," Working Papers 60, Brandeis University, Department of Economics and International Business School.
    18. Tomi Kyyrä & Hanna Pesola, 2020. "The Effects of UI Benefits on Unemployment and Subsequent Outcomes: Evidence from a Kinked Benefit Rule," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(5), pages 1135-1160, October.
    19. Sarah H. Bana & Kelly Bedard & Maya Rossin‐Slater, 2020. "The Impacts of Paid Family Leave Benefits: Regression Kink Evidence from California Administrative Data," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(4), pages 888-929, September.
    20. Regina T. Riphahn & Frederik Wiynck, 2017. "Fertility effects of child benefits," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(4), pages 1135-1184, October.

    More about this item

    Keywords

    intergenerational health mobility; mental health; physical health; United Kingdom;
    All these keywords.

    JEL classification:

    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

    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:hai:wpaper:202104. 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: Web Technician (email available below). General contact details of provider: https://edirc.repec.org/data/deuhius.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.