1991 - 2020年南欧和东欧出生时预期寿命的性别差距和社会经济指标的作用:来自动态面板模型的证据

Goran Miladinov
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引用次数: 0

摘要

本文的目的是解释24个南欧和东欧国家的社会经济发展、经济、就业和人口因素对出生时预期寿命(LEAB)性别差距的作用。主要使用1991 - 2020年期间联合国和世界银行数据库汇总的年度时间序列。采用广义矩法/动态面板数据(GMM/DPD)模型,探讨社会经济发展、经济、就业和人口等因素对LEAB性别差异的影响。该研究表明,在这些国家,低成本工作的性别差距缩小与城市人口在总人口中所占比例较高有关。研究发现,人均GDP滞后2年,基尼指数滞后2年,LEAB对LEAB的性别差异有显著影响。就业和教育变量对LEAB性别差异的影响不显著。然而,研究结果对人口健康、劳工政策等方面的政策讨论具有重要意义。这一结果得到了一些研究的支持,这些研究表明,低薪地区的社会经济发展、经济和人口指标以及就业问题与性别差距之间存在关系。
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Gender gap in life expectancy at birth and the role of socioeconomic indicators in South and East Europe, 1991 – 2020: Evidence from a dynamic panel model
The purpose of this paper is to explain the role of socioeconomic development, economic, employment, and demographic factors on gender gap in life expectancy at birth (LEAB) in 24 South and East European countries. Aggregated yearly time series mainly from the UN and World Bank database for the period 1991 – 2020 were used. The generalized method of moments/dynamic panel data (GMM/DPD) model, a dynamic panel model, was used to explore the role of socioeconomic development, economic, employment, and demographic factors on sex differences in LEAB. The study shows that in these countries, a narrowed gender gap in LEAB is associated with a higher percentage of urban population in total population. There was found a significant impact of GDP per capita with a 2-year lag and Gini index with a 2-year lag as well as to LEAB on the gender gap in LEAB. There was not found a significant relationship between employment and education variables on gender gap in LEAB. However, the findings are important for policy discussions in terms of population health, labor policy, etc. The results are supported by the number of studies which show the relationship between socioeconomic development, economic, and demographic indicators and employment issues with gender gap in LEAB.
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