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Purpose - This study investigates the factors affecting the learning outcomes of Asian students. Methods - The effects of both educational inputs and economic and socioeconomic variables on the PISA scores of 10 Asian countries (Hong Kong, Indonesia, Japan, Singapore, Macau, Korea, Turkey, Israel, Qatar, and Thailand) for the years 2006, 2009, 2012 and 2015 were examined using unbalanced panel data. Findings - The results show that country -level economic factors strongly affect academic achievement. Furthermore, country -level economic factors dominate the other explanatory factors in the num ...More
This study analysed the effectiveness of university promotion methods and factors affecting applicants' choices. The study used a quantitative approach with a sample of 7839 university applicants. Results show that the most influential factor affecting university choice is the economic factors such as tuition fees, scholarships, etc.; nevertheless, family income is not among them. Education quality and academic staff also affect the choice. Besides, there were differences in the factors such as gender, region, family structure and secondary school background of the applicants.
This study uses a Mincerian earnings function to estimate the effect of education and experience on the wages of women working in developed business and trade center of Bishkek, Kyrgyztan. It employs a robust median regression and M Regression to estimate the functions for both public and private sectors. The paper also estimates the function using a least squared regression for comparison. Findings/Originality: The results show that returns to education for women employees in the private sector are higher than that of in the public sector. In contrast, the returns to experience for women empl ...More
This study aims to explore how changes in explanatory variables may affect the probability of sovereign credit ratings assigned by Fitch, which is assumed to be a binary choice variable. For this purpose annual data of selected developed and developing countries for the period 2002-2016 have been used. In the empirical analysis the binary logit model has been applied. The estimation results indicate that all the explanatory variables are statistically significant in explaining credit ratings. Consistent with prior research, credit ratings are positively related to per capita gross domestic pro ...More