Assessment of the Impact of Some Socio - Economic Variables on Worldwide Average Life Expectancy: A Logit Approach
Asian Journal of Probability and Statistics,
Page 29-36
DOI:
10.9734/ajpas/2023/v21i1454
Abstract
Life Expectancy is considered as a key indicator for measuring the total wellbeing of a country. In this paper, the impact of some socio-economic variables on life expectancy is investigated. These variables namely: access to electricity, GDP per capita, unemployment total labour force, unemployment of youth total, health expenditure per capita, and adjusted national income were common for all countries. The Binary Logistic Regression model was considered and the analysis was done using the Forward Stepwise (Likelihood Ratio) procedure. Using the data of life expectancy of 70 countries in year 2020, results revealed that access to electricity and health expenditure per capita positively impacted on life expectancy. Countries that had Access to Electricity were 1.113 times (Prob. = 0.53) more likely to attend the worldwide life expectancy. Countries with increased Health Expenditure per Capita were 1.004 times (Prob. = 0.50) more likely to experience increase in life expectancy. Health expenditure per capita was significant at ; which implies that appropriate health financing has significant positive impact on life expectancy irrespective of country.
Keywords:
- Life expectancy
- logistic regression
- odd ratio
- wellbeing
- longevity
How to Cite
References
DOI: 10.33552/ABBA.2019.01.000523.
OECD Journal on Development: Development Co-operation Report;2011.
Ali A, Ahmad K. The Impact of Socio-Economic Factors on Life Expectancy for Sultanate of Oman: An Empirical Analysis. MPRA Paper No. 70871. 2014. Available: https://mpra.ub.uni-muenchen.de/70871/
Miladinov G. Socioeconomic Development and Life Expectancy Relationship: Evidence from the EU Accession Candidate Countries. Springer Open. 2020;76(2).
Available: https://doi.org/10.1186/s41118-019-0071-04
Mourad, M. Impact of Socio-economic variables on life expectancy: An empirical study for 138 countries. Journal of Public Administration and Governance, Macrothink Institute, 2021;11(1):330346-3303.
Starfield B. Is US health really the best in the world? The Journal of American Medical Association. 2012;284(4), 483-485.
Available: http://dx.doi.org/10.1001/jama.284.4.483.
Mackenbach JP, Bopp DP. Determinant of the Magnitude of Socioeconomic’. In Equalities in Mortality: A Study of 17 European Countries. Health place. 2017;201(47):44-53.
Kabir M. Determinants of Life Expectancy in Developing Countries. The Journal of Developing Areas, 2008;41(2):185-204.
Available: http://dx.doi.org/10.1353/jda.2008.0013
Peter ME. Targeting of mRNAs by multiple miRNAs: the next step. Oncogene. 2010;29(15):2161-4.
Herbst S, Fayzieva D, Kistemann T. Risk Factor Analysis of Diarrhoeal Diseases in the Aral Sea area (Khorezm, Uzbekistan), International Journal of Environmental Health Research. 2008;18(5):305-321.
DOI: 10.1080/09603120701834507
Mirowsky J, Ross CE. Socioeconomic Status and Subjective Life Expectancy. Social Psychology Quarterly. 2000;63(2):133–51. JSTOR.
Available: https://doi.org/10.2307/2695888. Accessed 8 Sep. 2022
Sede PI, Ohemeng W. Socio-economic Determinants of Life Expectancy in Nigeria (1980 – 2011). Health Econ Rev. 2015;5(2).
Available: https://doi.org/10.1186/s13561-014-0037-z
Rashid M. Inference on Logistic Regression Models. Doctoral dissertation, Bowling Green State University.Ohio; 2008. Available:http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1214165101
Stern DI, Burke PJ, Bruns SB. The Impact of Electricity on Economic Development: A Macroeconomic Perspective. Energy and Economic Growth: Applied Research Programme. 2019;1(1):1-44.
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