Part-time subsidies and maternal reemployment: Evidence from a difference-in-differences analysis

IF 2.3 3区 经济学 Q2 ECONOMICS
Franziska Zimmert, Michael Zimmert
{"title":"Part-time subsidies and maternal reemployment: Evidence from a difference-in-differences analysis","authors":"Franziska Zimmert,&nbsp;Michael Zimmert","doi":"10.1002/jae.3072","DOIUrl":null,"url":null,"abstract":"<p>Employment interruptions of mothers are still one of the main causes for different labour market outcomes between women and men. Employment subsidies can incentivise mothers to shorten employment interruptions after childbirth. We examine a German parental leave reform incentivising an early return to part-time work. Exploiting the exogenous variation defined by the child's birthday, we apply unconditional difference-in-differences (DiD) estimation using administrative data. Machine learning augmented DiD estimation shows that our findings are robust to the inclusion of a large dictionary of potential covariates. Additionally, we estimate conditional effects in the DiD setting. Our results show that being eligible to the new regime yields positive average employment effects that are mainly driven by part-time employment. In particular, the increased attractiveness of part-time work does not cannibalise full-time employment. The policy creates heterogeneous incentives depending on the opportunity costs of working part time: especially mothers with middle income and prior part-time workers respond to the reform. Besides, diverging results for East and West Germany hint at the potential of a change in social norms.</p>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":"39 6","pages":"1149-1171"},"PeriodicalIF":2.3000,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jae.3072","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Econometrics","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jae.3072","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

Employment interruptions of mothers are still one of the main causes for different labour market outcomes between women and men. Employment subsidies can incentivise mothers to shorten employment interruptions after childbirth. We examine a German parental leave reform incentivising an early return to part-time work. Exploiting the exogenous variation defined by the child's birthday, we apply unconditional difference-in-differences (DiD) estimation using administrative data. Machine learning augmented DiD estimation shows that our findings are robust to the inclusion of a large dictionary of potential covariates. Additionally, we estimate conditional effects in the DiD setting. Our results show that being eligible to the new regime yields positive average employment effects that are mainly driven by part-time employment. In particular, the increased attractiveness of part-time work does not cannibalise full-time employment. The policy creates heterogeneous incentives depending on the opportunity costs of working part time: especially mothers with middle income and prior part-time workers respond to the reform. Besides, diverging results for East and West Germany hint at the potential of a change in social norms.

Abstract Image

兼职补贴与产妇再就业:来自差异分析的证据
摘要母亲中断就业仍然是造成男女劳动力市场结果不同的主要原因之一。就业补贴可以激励母亲缩短产后中断就业的时间。我们研究了德国鼓励尽早重返兼职工作的育儿假改革。利用孩子生日所定义的外生变量,我们使用行政数据进行了无条件差分估计(DiD)。机器学习增强型差分估算表明,我们的研究结果在纳入大量潜在协变量后也是稳健的。此外,我们还估算了 DiD 环境中的条件效应。我们的结果表明,有资格加入新制度会产生积极的平均就业效应,而这主要是由兼职就业驱动的。特别是,兼职工作吸引力的增加并没有蚕食全职就业。根据兼职工作的机会成本,该政策产生了不同的激励:尤其是中等收入的母亲和以前的兼职工作者对改革做出了反应。此外,东德和西德的不同结果也暗示了社会规范发生变化的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.70
自引率
4.80%
发文量
63
期刊介绍: The Journal of Applied Econometrics is an international journal published bi-monthly, plus 1 additional issue (total 7 issues). It aims to publish articles of high quality dealing with the application of existing as well as new econometric techniques to a wide variety of problems in economics and related subjects, covering topics in measurement, estimation, testing, forecasting, and policy analysis. The emphasis is on the careful and rigorous application of econometric techniques and the appropriate interpretation of the results. The economic content of the articles is stressed. A special feature of the Journal is its emphasis on the replicability of results by other researchers. To achieve this aim, authors are expected to make available a complete set of the data used as well as any specialised computer programs employed through a readily accessible medium, preferably in a machine-readable form. The use of microcomputers in applied research and transferability of data is emphasised. The Journal also features occasional sections of short papers re-evaluating previously published papers. The intention of the Journal of Applied Econometrics is to provide an outlet for innovative, quantitative research in economics which cuts across areas of specialisation, involves transferable techniques, and is easily replicable by other researchers. Contributions that introduce statistical methods that are applicable to a variety of economic problems are actively encouraged. The Journal also aims to publish review and survey articles that make recent developments in the field of theoretical and applied econometrics more readily accessible to applied economists in general.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信