AccScience Publishing / IJPS / Volume 7 / Issue 2 / DOI: 10.36922/Ijps.V7i2.389
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RESEARCH ARTICLE

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

Goran Miladinov*
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1 Independent Researcher, Macedonia
IJPS 2021, 7(2), 14–31; https://doi.org/10.36922/Ijps.V7i2.389
Submitted: 8 October 2022 | Accepted: 30 November 2022 | Published: 27 December 2022
© 2022 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

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.

Keywords
Gender gap
Life expectancy at birth
Generalized method of moments/dynamic panel data
South-East Europe
Panel data
Funding
None.
References
[1]

Aburto, J.M., & van Raalte, A. (2018). Lifespan dispersion in times of life expectancy fluctuation: The case of central and Eastern Europe. Demography, 55(6):2071-2096. https://doi.org/10.1007/s13524-018-0729-9

[2]

Alberts, S.C., Archie, E.A., Gesquiere, L.R., Altmann, J., Vaupel, J.W., & Christensen, K. (2014). The male-female health-survival paradox: A comparative perspective on sex differences in aging and mortality. In: M Weinstein and  MA Lane (eds.). Sociality Hierarchy Health Comparative Biodemography a Collection of Papers.Washington, D.C.: National Academies Press, p.339-364.

[3]

Adusei, M. (2013). Finance-growth nexus in Africa: A panel generalized method of moments (GMM) analysis. Asian Economic and Financial Review, 3(10):1314-1324.

[4]

Arellano, M., & Bond, S.R. (1991). Some tests of specification for panel data: monte carlo evidence and an application to employment equations. Review of Economic Studies, 58(2):277-297. https://doi.org/10.2307/2297968

[5]

Attaneé, I., & Barbiéri, M. (2009). The demography of east and Southeast Asia from the 1950 to the 2000s: A summary of changes and a Statistical assessment. Population, 64(1):7-146.

[6]

Avdeev, A., Eremenko, T., Festy, P., Gaymu, J., Le Bouteilec, N., & Springer, S. (2011). Populations and demographic trends of European countries, 1980-2010. Population, 66(1):9-133. https://doi.org/10.3917/popu.1101.0009

[7]

Bai, R., Wei, J., An, R., Li, Y, Collett, L., Dang, S. et al. (2018). Trends in life expectancy and its association with economic factors in the belt and road countries-evidence from 2000- 2014. International Journal of Environmental Research and Public Health, 15(12):2890. https://doi.org/10.3390/ijerph15122890

[8]

Baltagi, B.H. (2005). Econometric Analysis of Panel Data. 3rd ed. New York: John Wiley and Sons.

[9]

Barford, A., Dorling, D., & Smith, G.D. (2006). Life expectancy: Women now on top everywhere during 2006, even in the poorest countries, women can expect to outlive men. BMJ, 332(7545):808. https://doi.org/10.1136/bmj.332.7545.808

[10]

Baum, C.F., Schaffer, M.E., & Stillman, S. (2003). Instrumental variables and GMM: Estimation and Testing.Working Paper No. 545, United States: Boston College, Department of Economics.

[11]

Bloom, D.E., & Canning, D. (2006). Global Demography: Fact, Force and Future. The WDA-HSG Discussion Paper Series on Demographic Issues No. 2006/1. Switzerland: World Demographic Association, University of St Gallen.

[12]

Borah, G. (2021). Gender gap in life expectancy in India and role of age groups: A comparison between before and after male-female life expectancy at birth crossover. PLoS One, 16(12):e0260657. https://doi.org/10.1371/journal.pone.0260657

[13]

Borrell, C., Marí-Dell’olmo, M., Palència, L., Gotsens, M., Burström, B.O., Domínguez-Berjón, F., et al. (2014). Socioeconomic inequalities in mortality in 16 European cities. Scandinavian Journal of Public Health, 42(3):245-254. https://doi.org/10.1177/1403494814522556

[14]

Botev, N. (2012). Population ageing in Central and Eastern Europe and its demographic and social context. European Journal of Ageing, 9(1):69-79. https://doi.org/10.1007/s10433-012-0217-9

[15]

Cambois, E., Robine, J.M., & Hayward, M.D. (2001). Social inequalities in disability-free life expectancy in the French male population, 1980-1991. Demography, 38(4):513-524. https://doi.org/10.1353/dem.2001.0033

[16]

Caselli, G., Drefahl, S., Siegmundt, C.W., & Luy, M. (2014). Future mortality in low mortality countries. In: L Wolfgang, BP William and KC Samir (eds.). World Population and Human Capital in the Twenty-First Century. Oxford: Oxford University Press, p.226-272.

[17]

Crimmins, E.M., Shim, H., Zhang, Y.S., & Kim, J.K. (2019). Differences between men and women in mortality and the health dimensions of the morbidity process. Clinical Chemistry, 65(1):135-145. https:/doi.org/10.1373/clinchem.2018.288332

[18]

Crimmins, E.M., Zhang, Y., & Saito, Y. (2016). Trends over 4 decades in disability-free life expectancy in the United States. American Journal of Public Health, 106(7):1287-1293. https://doi.org/10.2105/ajph.2016.303120

[19]

Cullen, M.R., Baiocchi, M., Eggleston, K., Loftus, P., & Fuchs, V. (2015). The Weaker Sex? Vulnerable Men, Resilient Women, and Variations in Sex Differences in Mortality Since 1900. NBER Working Paper, No.w21114. Available from: https://www.nber.org/papers/w21114 [Last accessed on 2022 Sep 18].

[20]

Eurostat. (2021). Eurostat-Data Explorer: Life Expectancy by Age and Sex. Available from: https://appsso.eurostat.ec.europa. eu/nui/show.do?dataset/demo-mlexpec&lang-en [Last accessed on 2021 Mar 30]

[21]

Fedotenkov, I., & Derkachev, P. (2020). Gender longevity gap and socioeconomic indicators in developed countries. International Journal of Social Economics, 47(1):127-144. https://doi.org/10.1108/IJSE-02-2019-0082

[22]

GDB 2017 Causes of Death Collaborators. (2018). Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: A systematic analysis for the Global Burden of Disease Study 2017. The Lancet, 392(10159):1736-1788. https://doi.org/10.1016/S0140-6736(18)32203-7

[23]

Gjonça, A., Tomassini, C., & Vaupel, W.J. (1999). Male-Female Differences in Mortality in the Developed World. MPIDR Working paper, No. 9: 1-9.

[24]

Glei, D., & Horiuchi, S. (2007). The narrowing sex differential in life expectancy in high-income populations: Effects of differences in the age pattern of mortality. Population Studies, 61(2):141-159. https://doi.org/10.1080/00324720701331433

[25]

Graetz, N., & Elo, I.T. (2021). Decomposing county-level working-age mortality trends in the United States between 1999-2001 and 2015-2017. Spatial Demography, https://doi.org/10.1007/s40980-021-00095-6

[26]

Gu, D., Dupre, E.M., Warner, F.D., & Zeng, Y. (2009). Changing health status and health expectancies among older adults in China: Gender differences from 1992 to 2002. Social Science and Medicine, 68(12):2170-2179. https://doi.org/10.1016/j.socscimed.2009.03.031

[27]

Gu, D., Gerland, P., Andreev, K., Li, N., Spoorenberg, T., & Heilig, G. (2013). Old age mortality in Eastern and South- Eastern Asia. Demographic Research, 29(38):999-1038. https://doi.org/10.4054/DemRes.2013.29.38

[28]

Horiuchi, S., Ouellette, N., Karen-Cheung, S.L, Robine, J.M. (2013). Modal age at death: Lifespan indicator in the era of longevity extension. Vienna Yearbook of Population Research, 11(1):37-69. https://doi.org/10.1553/populationyearbook2013s37

[29]

Höhn, A., Larsen, L.A., & Schneider, D.C. (2018). Sex differences in the 1-year risk of dying following allcause and cause-specific hospital admission after age 50 in comparison with a general and non-hospitalised population: A register-based cohort study of the Danish population. BMJ Open, 8:e021813. https://doi.org/10.1136/bmjopen-2018-021813

[30]

Kavanagh, A.S., Shelley, M.J., & Stevenson, C. (2017). Does gender inequity increase men’s mortality risk in the United States? A multilevel analysis of data from the National Longitudinal Mortality Study. SSM Population Health, 3:358-365. https://doi.org/10.1016/j.ssmph.2017.03.003

[31]

Kouaouci, A., Robitaille, N., & Guimond, E. (2005). Indirect estimation of life expectancy at birth in subpopulations: An assessment of the US Bureau of the census worksheet ADJMX. Genus, 61(2):35-53.

[32]

Lucas, A., van Dijk, R., & Kloek, T. (1997). Outlier Robust GMM estimation of leverage determinants in linear dynamic panel data models. SSRN Electronic Journal, https://doi.org/10.2139/ssrn.20611

[33]

Luy, M. (2003).Causes of male excess mortality: Insights from cloistered populations. Population and Development Review, 29(4):647-676. https://doi.org/10.1111/j.1728-4457.2003.00647.x

[34]

Luy, M., Di Giulio, P., Di Lego, V., Lazarevič, P., & Sauerberg, M. (2020). Life expectancy: Frequently used, but hardly understood. Gerontology, 66(1):95-104. https://doi.org/10.1159/000500955

[35]

Masika, R., de Haan, A., & Baden, S. (1997). Urbanisation and Urban Poverty: A Gender Analysis. Report No.54. Prepared for the Gender Equality Unit, Swedish International Development Cooperation Agency (Sida). University of Sussex, UK: Institute of Development Studies, Project Gender and Poverty: Trends and Linkages.

[36]

Margaras, V. (2019). Demographic Trends in EU Regions. Brussels: EPRS European Parliamentary Research Service.

[37]

Medalia, C., & Chang, W.V. (2011).Gender equality, development, and cross-national sex gaps in life expectancy. International Journal of Comparative Sociology, 52(5):371-389. https://doi.org/10.1177/0020715211426177

[38]

Mercer, A.J. (2018). Updating the epidemiological transition model. Epidemiology and Infection, 146(6):680-687. https://doi.org/10.1017/S0950268818000572

[39]

Nierenberg, D. (2005). The challenge of uncertainty: The unexpected occurrence. Genus, 61(3-4):91-109.

[40]

Oksuzyan, A., Juel, K., Vaupel, J.W., & Christensen, K. (2008). Men: Good health and high mortality-sex differences in health and aging. Aging Clinical and Experimental Research, 20(2):91-102. https://doi.org/10.1007/BF03324754

[41]

Omran, A.R. (2005). The epidemiologic transition: A theory of the epidemiology of population change. 1971. The Milbank Quarterly Journal, 83(4):731-57. https://doi.org/10.1111/j.1468-0009.2005.00398.x

[42]

Our World in Data Platform. (2022). Income inequality: Gini Coefficient, 1997 to 2019. Available from: https:// ourworldindata.org/grapher/economic-inequality-gini-index?tab=chart&country=MDA [Last accessed on 2022 Nov 15].

[43]

Preston, H.S., Heuveline, P., & Guillot, M. (2001). Demography, Measuring and Modeling Population Processes. Oxford: Blackwell Publishers.

[44]

Pinho-Gomes, A.C., Vassallo, A., Carcel, C., Peters, S., & Woodward, M. (2022). Gender equality and the gender gap in life expectancy in the European Union. BMJ Global Health, 7:e008278. https://doi.org/10.1136/bmjgh-2021-008278

[45]

Santana, P., Costa, C., Mari-Dell’Olmo, M., Gotsens, M., & Borrell, C. (2015). Mortality, material deprivation and urbanization: Exploring the social patterns of a metropolitan area. International Journal for Equity in Health, 14(55):1-13. https://doi.org/10.1186/s12939-015-0182-y

[46]

Schumacher, R., & Vilpert, S. (2011). Gender differences in social mortality differentials in Switzerland (1990-2005). Demographic Research, 25(8):285-310. https://doi.org/10.4054/DemRes/2011.25.8

[47]

Schünemann, J., Strulik, H., & Trimborn, T. (2016). The Gender Gap in Mortality: How Much is Explained by Behavior? ECON WPS in Economic Theory and Policy, No.05/2016.1-32. Vienna, Austria: Vienna University of Technology. Available fron: https://hdl.handle.net/10419/144869

[48]

Sickles, C.R., & Taubman, P. (1997). Mortality and morbidity among adults and the elderly. In: RM Rosenzweig and S Oded (eds.). Handbook of Population and Family Economics. Amsterdam: Elsevier Science, p. 561-643.

[49]

Spijker, J., van Poppel, F., & van Wissen, L. (2007). Explaining new trends in the gender gap of mortality: Insights from a regional trend analysis of the Netherlands. Vienna Yearbook of Population Research, 5(1):61-92. https://doi.org/10.1553/populationyearbook2007s61

[50]

Spijker, J., & van Wissen, L. (2010). Socioeconomic determinants of male mortality in Europe: The absolute and relative income hypotheses revisited. Genus, 66(1):37-61.

[51]

Statistical Office of the Republic of Slovenia. (1997). Life Tables for the Population of Slovenia 1980-1982-1994-1995. Ljubljana: SORS.

[52]

Trovato, F., & Heyen, N.B. (2006). A varied pattern of change of the sex differential in survival in the G7 countries. Journal of Biosocial Science, 38(3):391-401. https://doi.org/10.1017/S0021932005007212

[53]

United Nations Statistics Division. (2021). Methodology: Standard Country or Area Codes for Statistical Use (M49). Available from: https://unstats.un.org/unsd/methods/m49/m49.htm. [Last accessed on 2021 Mar 11].

[54]

United Nations. (2022a). World Population Prospects 2022. Department of Economic and Social Affairs, Population Division. Available from: https://population.un.org/wpp [Last accessed on 2022 Oct 12].

[55]

United Nations. (2022b). GDP per Capita at Constant 2015 Prices-US Dollars and GDP Annual Growth Rate. United Nations Statistics Division, System of National Accounts. Available from: https://unstats.un.org/unsd/snaama/Basic [Last accessed on 2022 Sep 22].

[56]

Veneri, P., & Ruiz, V. (2013). Urban-to-Rural Population Growth Linkages: Evidence from OECD TL3 Regions. OECD Regional Development Working Papers 2013/03. Paris: OECD. https://doi.org/10.1787/5k49lcrq88g7-en

[57]

Wilmoth, R.J. (2005). Some methodological issues in mortality projection, based on analysis of the U.S. social security system. Genus, 61(1):179-212.

[58]

Wooldridge, J.M. (2001a). Applications of generalized method of moments estimation. The Journal of Economic Perspectives, 15(4):87-100. https://doi.org/10.1257/jep.15.4.87

[59]

Wooldridge, J.M. (2001b). Econometric Analysis of Cross Section and Panel Data. Cambridge, Massachusetts: The MIT Press.

[60]

Wooldridge, J.M. (2002). Econometric Analysis of Cross Section and Panel Data. Cambridge, MA: The MIT Press.

[61]

World Bank. (2022). World Bank Open Data, Free and Open Access to Global Development Data. Available from: https://data.worldbank.org/indicator [Last accessed on 2022 Sep 24].

[62]

World Health Organization. (2014). World Health Statistics 2014. Geneva: World Health Organization.

[63]

World Health Organization. (2022a). Global Health Expenditure Database. Available from: https://apps.who.int/nha/database/ ViewData/Indicators/en [Last accessed on 2022 Nov 15].

[64]

World Health Organization. (2022b). WHO: European Health for All Databse (HFA-DB). Available from: https://gateway. euro.who.int/en/datasets/european-health-for-all-database [Last accessed on 2022 Nov 15].

[65]

Zarulli, V., Kashnitsky, I., & Vaupel J.W. (2021). Death rates at specific life stages mold the sex gap in life expectancy. Proceedings of the National Academy of Sciences, 118(20):e2010588118. https://doi.org/10.1073/pnas.2010588118

Conflict of interest
The author has no conflicts of interest to declare.
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International Journal of Population Studies, Electronic ISSN: 2424-8606 Print ISSN: 2424-8150, Published by AccScience Publishing