An Econometric Analysis of the US Health Care Expenditure

Abstract

This paper estimates the determinants of aggregate health care expenditure function for the U.S. by applying a co integration test on a time series data. The evidence presented in the paper supports co integration. The paper lends support to the view that per capita income is the major determinant of aggregate health care expenditure in the U. S. Age of the population, the number of practicing doctors and the share of public finance do not contribute significantly to the explanation of the health care spending. The main policy recommendation that can be drawn from the results is that the health expenditure policy should be coupled not necessarily with the increase in the supply of physicians or policies that promote competition but, with long-run policies that promote human capital. We also find that the mixture of public-private funding does not contribute significantly to the explanation of the health care expenditure in the U.S.

Determinant of Healthcare Investments in Sub-Saharan Africa

“…Moreover, external cooperation of the WHO was also required to make an exchange of expertise and healthcare information. Das and Martin (2010) quantitatively examine the determinants of aggregate healthcare expenditure using a co-integration procedure in the USA. The results indicate that per capita income contributes significantly to the explanation of healthcare expenditure.…”

Relationship between Neighborhood Characteristics and Demand for Emergency Health Service Vehicles: A Poisson Hurdle Regression Modeling Approach

“…There have been a considerable number of studies looking at EHS vehicle demand in North America, Australia, and other parts of the world (see summary in Table 1). These studies can be grouped into three categories: (a) spatial and temporal descriptive analysis ( 14 ), (b) diagnostic and predictive modeling ( 15–17 ), and (c) location coverage and service optimization ( 18–20 ). For example, Munjal et al ( 14 ) conducted a spatial and temporal analysis on requests for EHS vehicles in relation to population size and medical complaints.…”

The Relationship Between Young Populations, Life Expectancy At Birth, Number Of Doctors And Health Expenditure In Turkey: An Econometric Application

“…They finds that income and ageing are important drivers of health expenditures. Das and Martin (2010) examined determinants of health expenditure in USA and found that practising doctors does not contribute significantly to the explanation of the healthcare expenditure.…”

“…As a result of the studies carried out, there are studies that have reached the conclusion that the young population is not a significant influence on health expenditure, as well as studies that find that the young population is a significant influence on health expenditures (Gbesemete andGerdtham,1992, Ehikioya(2013) and Fasoranti(2015) ) Grafik. 1: Health Expenditure in Turkey (1975Turkey ( -2013 Das and Martin Das and Martin(2010) examined determinants of health expenditure in USA and found that practising doctors does not contribute significantly to the explanation of the healthcare expenditure.When looked at the study made on life expectancy from birth, the results that the health expenditures increase as the expected life expectancy from birth increases. For example, Jaba et al (2014) and Karagöz and Tetik (2009) concluded that life expectancy at birth has a significant effect on health expenditures.…”