resigned its full membership status in 2005 and changed its CIS standing to observer member. Drawing on the methods of Least Squares and Maximum Likelihood Estimation of Stochastic Frontier Analysis, we made estimations to find efficiency scores in the health sector by using the data for the period from 2010 to 2015 of the countries that are members of the Commonwealth of Independent States. In the study, we used various factors as dependent and independent variables, including the number of doctors, medical personnel and hospital beds per ten thousand people, the life expectancy at birth, under-five mortality rate and the incidence of tuberculosis per one hundred thousand people. We have found that such factor as the number of doctors effectively influences reduction of the under-five mortality rates and the incidence of tuberculosis, while the factor "the number of hospital beds" is not very effective. Finally, for the CIS countries we made recommendations to popularize the health insurance, to change the old Soviet form of health management in public hospitals, and to implement liberal socio-economic policies.

This study aims to determine the factors affecting the change of health expenditures in OECD countries and revealing their effect levels. Methodology: Within the scope of the study, the effects of health status indicators on health expenditure per capita were investigated by using Stochastic Frontier Analysis (SFA) method with 2016 data obtained from OECD health statistics. Findings: The extent to which health status indicators affect the change in health expenditures was tried to be calculated with the Least-Squares and Maximum Likelihood methods of the SFA. According to the estimation results, we observed that inefficiency reason in all analyses was due to a 99,99 % of random error. It was found in the analysis that there was a positive relationship between health expenditure per capita, life expectancy at birth, and the number of nurses per thousand people, and a negative relationship between infant mortality. Originality: This study demonstrates the factors that have an impact on the health-care costs included in the health indicators, as well as the inter-relationship between such health indicators within the OECD countries. It is considered that familiarity with the inter-relationships among health indicators will be of great assistance to health-policymakers and will contribute to the body literature in the context of much more efficient plan preparation.