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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

Bibliographic Data

ID7990873
AuthorsGoran Miladinov (0000-0003-2930-2638, corresponding author)
Year2022
Volume7
Issue2
Pages14-31
Publication date2022-12-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Population Studies (JOURNAL)
Journal identifiersISSN: 2424-8606 • E-ISSN: 2424-8150
PublisherAccScience Publishing (PUBLISHER • SG)
DOI10.36922/ijps.v7i2.389
OpenAlexW4313413724
LanguageEN

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

Demographic economics · Demographic transition · Econometrics · Economics · Fertility · Gender gap · Geography · Index (typography · Life expectancy · Panel data · Per capita · Population · Socioeconomic status · Sociology · Demography · Global Health Care Issues · Health disparities and outcomes · Insurance, Mortality, Demography, Risk Management

Citation velocityhistorical
Highly citedNo

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Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae