scholarly journals Absolute Purchasing Power Parity in African Low-income Countries: A Panel Data Analysis

Author(s):  
Zhi-Bai ZHANG ◽  
Xiang HUI
2019 ◽  
Author(s):  
Keneni Gutema Negeri

Abstract Background The effect of health targeted aid in developing countries is debatable. This paper examines the short run effect of health aid on health status in low income countries of the world. Method The study estimates the short run effect of health aid on health status in low income countries. Infant mortality rate was used as a proxy for health status and a panel data was constructed from 34 countries for the period between 2000 and 2017. For the estimation, first difference GMM and System GMM were employed. Results The estimation results confirm the argument that health aid has a beneficial and statistically significant short run effect on the health status of low income countries: doubling health aid saves the lives of 20 infants per 10,000 live births. Conclusion From the findings of this paper it can be concluded that health aid could be one of the best tools with which the broader health status gap currently observed between high income and low income groups, could be eliminated and hence the target of Universal Health Coverage is met. However, recipient countries need to find ways of promoting domestic factors that have favorable impact on health sector as they cannot persistently relay up on external resources.


Author(s):  
Gülçin Güreşçi Pehlivan ◽  
Esra Ballı ◽  
Muammer Tekeoğlu

The Purchasing Power Parity suggests that differences in relative prices in two countries move together with nominal exchange rates in the long run. This study examines the validity of PPP as transition economies for Commonwealth of Independent States (CIS). Purchasing Power Parity holds only when the real exchange rate is stationary in the equation. To test the stationary, we used both time series and panel data analysis. Testing unit root both with time series and panel data in this study, provides us double check of the results. We also test the cross sectional dependence to choose the appropriate panel unit root test. Our test statistics indicate that there is cross section dependence between countries. Hence, one needs to take into consideration the cross section dependence while undertaking unit root tests. Otherwise, the results would be biased. ADF and KPPS indicate that PPP cannot be accepted for the countries except for Russia. According to the panel unit root test results indicate that PPP does not hold for Armenia, Belarus, Georgia, Kazakhstan and Kyrgyzstan except for Russia.


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