Application of Structural Equation Modeling to Infant Mortality Rate in Egypt

Fatma Abdelkhalek () and Marianna Bolla ()
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Fatma Abdelkhalek: Budapest University of Technology and Economics, Institute of Mathematics
Marianna Bolla: Budapest University of Technology and Economics, Institute of Mathematics

Chapter Chapter 7 in Demography of Population Health, Aging and Health Expenditures, 2020, pp 89-99 from Springer

Abstract: Abstract In social sciences, Structural Equation Modeling (SEM) is an important statistical approach for examining the causal relationships between variables. Since 1995, Egypt’s infant mortality rate (IMR) has declined from about 50 deaths of infants under one year of age per 1000 live births to about 20 deaths in 2015 (World Bank 2015). In this paper, we illustrate how SEM can be used to examine the factors that affect the IMR over time. We use data for five indicators: gross domestic product (GDP) per capita, current health expenditure as a percentage of the GDP, out-of-pocket health expenditure as a percentage of current health expenditures, hepatitis B immunization, and the maternal mortality ratio; all this data was available from the World Bank website. SEM results show the direct, indirect and total effects of each indicator on the IMR. In this manner, SEM provides important sequential causal relationships that can help policy makers set program priorities.

Keywords: Structural equation modeling; Path analysis; Recursive regressions; Infant mortality rate (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssdmcp:978-3-030-44695-6_7

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DOI: 10.1007/978-3-030-44695-6_7

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