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Who cares : Deciphering China’s female employment paradox

Yu, Haiyue; Cao, Jin; Kang, Shulong (19.05.2021)

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dp0721.pdf (529.7Kt)
Lataukset: 

Yu, Haiyue
Cao, Jin
Kang, Shulong

Julkaisusarja

BOFIT Discussion Papers

Numero

7/2021

Julkaisija

Bank of Finland

2021

Tekijänoikeudet
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Julkaisun pysyvä osoite on

https://urn.fi/URN:NBN:fi:bof-202105191241
Tiivistelmä
Female post-childbirth labor market participation and labor intensity are extraordinarily high in China, given that public childcare subsidies are limited and supportive policies for childbearing female employees are largely absent. Establishing a panel dataset that tracks female employment and childbirth, we find that such a paradox is well-explained by the intra-family childcare support provided by grandparents. Correcting the selection bias that stems from women’s fertility choices using the propensity score matching difference-in-difference model, we find that women without grandparental support suffer a substantial drop in post-childbirth employment, while women with grandparental support even experience a rise in employment after childbirth. It takes women without grandparental support twice as long to recover their employment after childbirth. Finally, we find that childbirth does not decrease women's labor intensity due to a lack of labor market flexibility, and that women face a stay-or-quit dilemma when grandparental childcare support is absent.

Sisällysluettelo

Abstract ...... 4
1 Introduction ...... 5
2 Data ...... 8
2.1 Data description...... 8
2.2 Key variables...... 10
2.3 Stylized facts ...... 12
3 Empirical analysis and results...... 14
3.1 Panel regression with fixed effects...... 14
3.2 Propensity score matching difference-in-difference model ...... 18
4 Discussion ....... 22
Exiting labor market: Temporarily or permanently?...... 23
Labor intensity before and after childbirth....... 24
Types of jobs taken by working mothers ....... 25
5 Concluding remarks ......... 25
References ........ 27
Appendix ........ 30
A Estimated propensity score using Logit model ...... 30
B Covariates’ balance test before and after matching...... 31

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