2000-2020年经合组织国家生育率与女性劳动力参与之间的关系:它(再次)为负

IF 0.5 Q4 ECONOMICS
Miloš Milovanović
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引用次数: 0

摘要

摘要20世纪80年代,发达国家女性劳动力参与率与生育率之间的横断面关联由负向正转变。从那以后,研究人员应用了不同的统计方法;因此,本研究通过对属于经济合作与发展组织(经合组织)的32个国家2000年至2020年的数据采用一种独特的战略,重新评估了结果。具体来说,这里讨论的数据分析实施了所谓的“统一”模型,从而使分析超越了固定效应(FE)方法的局限性;也就是说,通过分解(时间序列)内的系数和(横截面)国家之间的影响,该研究增加了我们的统计模型对生育水平和女性劳动力参与率之间关系的解释力。最终,与以前的研究相比,所选择的统计方法显示出提供更好的结果解释的潜力。最后,这项研究证实了劳动力参与率与生育率之间的时间序列关系中持续存在负向趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Relationship between Fertility and Female Participation in the Labour Force in OECD Countries 2000–2020: It Is (Again) Negative
Abstract The cross-sectional association between female labour force participation rates and fertility in developed countries shifted from negative to positive during the 1980s. Ever since then, researchers have applied different statistical approaches; therefore, the present study re-evaluates the results by applying a distinct strategy to the data from 2000 to 2020 for 32 countries belonging to the Organization for Economic Co-operation and Development (OECD). Specifically, the data analysis discussed here implemented the so-called „unified“ model, thereby extending the analysis beyond the limitations of the fixed effects (FE) method; namely, by decomposing coefficients within (time-series) and between (cross-sectional) countries‘ effects, the study increased the explanatory power of our statistical model on the relation between fertility level and female labour force participation rate. Eventually, the selected statistical approach has shown the potential to offer a better interpretation of results in comparison to previous studies. Finally, this study confirmed the persistence of a negative trend in a time-series association between labour force participation and fertility.
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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