ABSTRACT
Health price inflation rate is different from increasing in health expenditures. Health expenditures contain both quantity and prices but inflation rate contains prices. This study aimed to determine the factors that affect the Inflation Rate for Health Care Services [IRCPIHC] in Iran. We used Central Bank of Iran data. We estimated the relationship between the inflation rate and its determinants using dynamic factor variable approach. For this purpose, we used STATA software. The study results revealed a positive relationship between the overall inflation as well as the number of dentists and health inflation. However, number of beds and physicians per 1000 people had a negative relationship with health inflation. When the number of hospital beds and doctors increased, the competition between them increased, as well, thereby decreasing the inflation rate. Moreover, dentists and drug stores had the conditions of monopoly markets; therefore, they could change the prices easier compared to other health sectors. Health inflation is the subset of growth in health expenditures and the determinants of health expenditures are not similar to health inflation
Subject(s)
Health Care Sector/economics , Health ExpendituresABSTRACT
Background: Skilled labor force is very important in economic growth. Workers become skilled when they are healthy and able to be educated and work. In this study, we estimated the effects of health indicators on labor supply. We used labor force participation rate as the indicator of labor supply. We categorized this indicator into 2 indicators of female and male labor force participation rates and compared the results of each estimate with the other
Methods: This study was done in eastern Mediterranean countries between 1995 and 2011. We used a panel cointegration approach for estimating the models. We used Pesaran cross sectional dependency, Pesaran unit root test, and Westerlund panel cointegration for this issue. At the end, after confirmation of having random effect models, we estimated them with random effects
Results: Increasing the fertility rate decreased the female labor supply, but increased the male labor supply. However, public health expenditures increased the female labor supply, but decreased the male labor supply because of substitution effects. Similar results were found regarding urbanization. Gross domestic product had a positive relationship with female labor supply, but not with male labor supply. Besides, out of pocket health expenditures had a negative relationship with male labor supply, but no significant relationships with female labor supply
Conclusion: The effects of the health variables were more severe in the female labor supply model compared to the male model. Countries must pay attention to women's health more and more to change the labor supply