The Impacts of Aging, Income and Urbanization on Health Expenditures: A Panel Regression Analysis for OECD Countries

Boz, C., Tas, N., Onder, E. (2020). The impacts of aging, income and urbanization on health expenditures: A panel regression analysis for OECD countries. Turk J Public Health;18(1):1-9 doi: 10.20518/tjph.426494

Posted: 18 Feb 2021

See all articles by Canser Boz

Canser Boz

Istanbul University - Faculty of Health Sciences

Nihat Taş

Istanbul University - School of Business, Department of Quantitative Methods

Emrah Önder

Istanbul University - School of Business - Department of Quantitative Techniques

Date Written: April 28, 2020

Abstract

Objectives: The main purpose of this study is to investigate the factors affecting health expenditure levels through a panel data analysis.

Methods: The study includes data from 35 OECD member countries between 2005 and 2015. We carried out panel regression analysis using STATA 13.0 econometric program. In the study, we used per capita health expenditure figures according to purchasing power parity as the dependent variable and we searched the impact of aging, urbanization and income on health expenditures with fixed effects panel regression model.

Findings: The regression model indicates that aging, urbanization and income have positive effects on health expenditures per capita. For instance, a 1% increase in population ages 65+ causes an increase in health expenditures by $165 per capita. Conclusion: Although health expenditures are influenced by many factors, demographic structures and demographic changes, such as aging, urbanization and income, have a significant impact on health expenditures.

Keywords: Health expenditures, OECD, aging, panel data analysis

Suggested Citation

Boz, Canser and Taş, Nihat and Önder, Emrah, The Impacts of Aging, Income and Urbanization on Health Expenditures: A Panel Regression Analysis for OECD Countries (April 28, 2020). Boz, C., Tas, N., Onder, E. (2020). The impacts of aging, income and urbanization on health expenditures: A panel regression analysis for OECD countries. Turk J Public Health;18(1):1-9 doi: 10.20518/tjph.426494, Available at SSRN: https://ssrn.com/abstract=3591603

Canser Boz

Istanbul University - Faculty of Health Sciences ( email )

Istanbul
Turkey

Nihat Taş

Istanbul University - School of Business, Department of Quantitative Methods ( email )

Istanbul Universitesi Avcilar Kampusu
Isletme Fakultesi Avcilar
Istanbul, 34322
Turkey

HOME PAGE: http://aves.istanbul.edu.tr/nihattas/yayinlar

Emrah Önder (Contact Author)

Istanbul University - School of Business - Department of Quantitative Techniques ( email )

Istanbul
Turkey

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