FACTORS AFFECTING HEALTH OUTCOMES : A CASE STUDY OF MIDDLE AND LOW INCOME LEVEL COUNTRIES

Authors

  • Kosin Techaniyom Public Administration, National Institute of Development Administration
  • Prapon Sahapattana Public Administration, National Institute of Development Administration
  • Athkrit Thepmongkol Development Economics, National Institute of Development Administration

Keywords:

Under-5-years Mortality Rate, Panel Data Analysis, Random Effect, Prevention Healthcare

Abstract

This paper aimed to analyze the factor affecting health outcomes (under 5 years mortality rate per 1,000 people) using secondary data of country with middle and low income in 1996 – 2015 from 139 countries. Panel data analysis was employed to analyze data. The finding suggested that prevention healthcare(The rate of improved rural sanitation facilities and the percentage of children aged 12-23 months with DPT immunization), control of corruption, effective transition rate from primary to lower secondary general education and gross national income per capita significantly decreased under 5 years mortality rate. Additionally, this study also found panel cointegration effect that refer to the long-term relationship of variables in use.

References

Ainsworth, M., Beegle, K., & Koda,G. (2002). The impact of adult mortality and parental deaths on primary school enrollment in Northwestern Tanzania. Journal of Development Studies, 41(3), 412-439.

Alderman, H., Behrman, J. R., Levy, V. & Menon, R. (2001). Child health and school enrollment: A longitudinal analysis. The Journal of Human Resources, 36(1), 185-205.

Breitung, J. (2001). The local power of some unit root tests for panel data. In T. B. F. Badi, H. Baltagi, R. Carter Hill (Eds.), Nonstationary panels, panel cointegration, and dynamic panels (Advances in Econometrics) (pp. 161-117). Bingley, UK: Emerald Group Publishing.

Gupta, S., Davoodi, H. & Tiongson, E. (2000). Corruption and the provision of health care and education services. Washington, DC: International Monetary Fund.

Gupta, S., Verhoeven, M.& Tiongson, T. (1999). Does higher government spending buy better results in education and health care?. Washington, DC: International Monetary Fund.

Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251-1271.

Houeninvo G. Hilaire (2014) Does good governance improve public health expenditure-health outcomes nexus? New empirical evidence from Africa. Revue d’Economie Thorique et Applique, 4(1), 1-24.

Kao, C., & Chiang, M.-H. (1999). On the estimation and inference of a cointegrated regression in panel data. In Badi H. Baltagi,Thomas B. Fomby, R. Carter Hill (Eds.). Nonstationary panels, panel cointegration, and dynamic panels (Advances in Econometrics, Volume 15) (pp.179-222). Bingley, UK: Emerald Group Publishing.

Kaufman, D., Kraay, A., & Mastruzzi, M. (2004). Governance matters III: Governance indicators for 1996, 1998, 2000, and 2002. World Bank Economic Review, 18(2), 253-287.

Kaufman, D., Kraay, A., & Zoido-Lobaton, P. (1999). Governance matters. Washington, DC: Development Economics Research Group, World Bank.

McIntyre, D. & Mooney, G. (2007). The economics of health equity. Cambridge: Cambridge University Press.

Downloads

Published

2020-06-24

How to Cite

Techaniyom, K. ., Sahapattana, P. ., & Thepmongkol, A. . (2020). FACTORS AFFECTING HEALTH OUTCOMES : A CASE STUDY OF MIDDLE AND LOW INCOME LEVEL COUNTRIES. SUTHIPARITHAT JOURNAL, 32(101), 149–159. retrieved from https://so05.tci-thaijo.org/index.php/DPUSuthiparithatJournal/article/view/243769

Issue

Section

Research Articles