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on Central and Western Asia |
By: | Aras, Osman Nuri; Öztürk, Mustafa |
Abstract: | Human capital is one of the most important source for economic development and economic progress in a country. Of course, the quality of human capital will be determinative of the economic development and economic progress. Education, on the other hand, is the most important and the initial step in improving the quality of human capital and in achieving a sufficient level of qualification regarding human capital. Today, undergraduate education programs, especially Master of Business Administration (MBA) programs, make a greater contribution in upgrading the quality of the human capital. MBA programs have become widespread in Turkey as well as in many countries around the world. There is a necessity of measuring the quality level of human capital which is provided by the education especially, MBA programs. Within the framework of this necessity, in this article, it is aimed to measure the level of contribution of MBA programs to human capital in Turkey. According to the results of the study, there is a statistically significant relationship between economic performance and the quality of human capital obtained through MBA education. However, according to another result of the study, the effect of MBA education on the level of disposable personal income takes time. Moreover, more effort to increase the awareness of the public and private institutions about the contribution of MBA education to human capital is needed. |
Keywords: | Economic Development, Human Capital, Social Capital, Education, MBA Programs. |
JEL: | E0 I23 I25 O1 |
Date: | 2017–09–01 |
URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:81843&r=cwa |
By: | Antonio Di Paolo (AQR-IREA, University of Barcelona. Diagonal Av. 690, 08034, Barcelona, Spain.); Aysit Tansel (Department of Economics, Middle East Technical University, 06800 Ankara, Turkey.) |
Abstract: | This paper analyzes the drivers of wage differences among college graduates who hold a degree in a different field of study. We focus on Turkey, an emerging country that is characterized by a sustained expansion of higher education. We estimate conditional wage gaps by field of study using OLS regressions. Average differentials are subsequently decomposed into the contribution of observable characteristics (endowment) and unobservable characteristics (returns). To shed light on distributional wage disparities by field of study, we provide estimates along the unconditional wage distribution by means of RIF-Regressions. Finally, we also decompose the contribution of explained and unexplained factors in accounting for wage gaps along the whole distribution. As such, this is the first work providing evidence on distributional wage differences by college major for a developing country. The results indicate the existence of important wage differences by field of study, which are partly accounted by differences in observable characteristics (especially occupation and, to a lesser extent, employment sector). These pay gaps are also heterogeneous over the unconditional distribution of wages, as is the share of wage differentials that can be attributed to differences in observable characteristics across workers with degrees in different fields of study. |
Keywords: | Fields of Study, Wage Differentials, Decomposition, Unconditional Wage Distribution, Turkey |
JEL: | J31 J24 I23 |
Date: | 2017–10 |
URL: | http://d.repec.org/n?u=RePEc:xrp:wpaper:xreap2017-02&r=cwa |
By: | Becker, Torbjörn (Stockholm Institute of Transition Economics); Olofsgård, Anders (Stockholm Institute of Transition Economics) |
Abstract: | In this paper we look at the growth experience of 25 transition countries during the 25 years since the dissolution of the USSR. We find that compared to expectations from a parsimonious growth model the region in the 2000’s seems normal in terms of growth performance, i.e. transition in the region is over in this respect. Institutions, speed of reform and macro variables fail to show a stable correlation with (conditional) growth when comparing the early and later periods of transition. We also find that the countries in the former Soviet Union (FSU12), doing substantially worse during the 1990’s, in the 2000’s are performing better than the 10 countries that joined the EU in 2004 and 2007 (EU10). This is partly explained by rising fuel prices but also point to strong macro forces of mean reversion. Despite this, the gap between the regions is wider in 2015 than in 1991, emphasizing the challenge of making up for deep crises. Finally, the model analysis suggests that looking forward the main challenge for the FSU12 countries (in particular the non-fuel exporters) is to promote more capital investment whereas the main challenge for EU10 is to increase the productivity of existing factors of production. |
Keywords: | Growth; transition countries; comparative performance; economic crisis; mean reversion |
JEL: | O00 P20 |
Date: | 2017–10–01 |
URL: | http://d.repec.org/n?u=RePEc:hhs:hasite:0043&r=cwa |