Technical Meta-Analysis of Poverty Rate and Economic Growth on Health Expenditure Per Capita in Low and Middle Income Groups in Iran

Subject Areas :

Arash khomi ¹ , fatemeh zandi ² , mohamad khezri ³ , Bijan Safavi ⁴

1 - Ph.D. Student of Islamic Economic Sciences, South Tehran Branch, Islamic Azad University, Tehran, Iran
2 - Assistant Professor of Economics, Islamic Azad University, Tehran South, Tehran, Iran
3 - Islamic Azad University
4 - Department of Economics, South Tehran Branch, Islamic Azad University, Tehran, Iran:

Received: 2023-04-05 Accepted : 2023-05-21 Published : 2024-07-01

Keywords: Poverty Rate, Economic Growth, Health Index, Iran,

Abstract :

The purpose of this article is to analyze the technical meta-analysis of poverty rates Misery index and economic growth on per capita health expenditures in low- and middle-income groups in Iran. The research method is ARDL methodology, which simultaneously estimates the long-term and short-term relationships between explanatory variables of the model. The results of the estimation of the model using the autocorrelation method with distributed lag (ARDL) showed that there was a long-term cointegration relationship between the variables of the model and it was found that the coefficient of the logarithm of economic growth (EG) is statistically significant and indicates that economic growth It has a positive effect on the health index, but the coefficient of the logarithm of the misery index variable (MI (-1)) has the desired negative sign and is statistically significant. That is, the misery index in the previous years has a negative and significant effect on the per capita misery of the following years. Also, the coefficient of the logarithm of the misery index variable (misery index with two breaks) MI (-2))) is statistically significant but has the intended sign and indicates that the misery index of the previous two periods has a negative effect on the health leaders. . Therefore, it can be concluded that there is a long-term equilibrium relationship between the variables of the observed pattern. In the long term, the variables of economic growth and misery index are statistically significant and have an impact on the health function per capita.

References:

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