Educational Attainment, 'Brain Drain,' and Self-Employment: Examining the Interstate Mobility of Baccalaureate Graduates, 1993-2003

2009 ◽  
Author(s):  
Chad M. Moutray
2011 ◽  
Vol 27 (3) ◽  
Author(s):  
Ronald Dekker ◽  
Lian Kösters

The demythologization of the self-employment trend The demythologization of the self-employment trend In this article we investigate which factors contribute to the growth of the number of self-employed workers and which factors cause a decrease in that number. On the basis of this analysis we make inferences about the probability of continued growth. The factors that contribute to growth and decrease are derived from the available literature and are put into practice in a multivariate analysis, in which a comprehensive set of individual characteristics is used to explain the relative probability of becoming a self-employed worker. From the analysis we can conclude that the relative probability to become a self-employed worker is influenced primarily by age, gender and educational attainment. On the basis of the analysis and the literature we conclude that the growth in the number of self-employed workers is likely to continue, though not to the extent where self-employment is the standard labour relation on the Dutch labour market. However, the growth in self-employment does mean that an increasing number of workers are facing lower levels of income and employment security. A number of policy options to deal with these problems is discussed.


2021 ◽  
pp. 146499342110034
Author(s):  
Christian S. Otchia

It is well established that additional educational attainment above lower secondary yields higher returns. We find that these returns are mediated by the job transitions, especially for individuals with vocational education. We then study whether the job-to-job transition explains the differences in the returns to educational attainment and find evidence of positive returns of the movement from employee to self-employed. We show that successful employee voluntary move to self-employment to maximize their earnings, while early spell of self-employment tends to have a lasting negative effect on earnings. Our analysis partially explains why self-employment is the top final destination for many workers in developing countries.


1993 ◽  
Vol 18 (1) ◽  
pp. 43-53 ◽  
Author(s):  
Arthur L. Dolinsky ◽  
Richard K. Caputo ◽  
Kishore Pasumarty ◽  
Hesan Quazi

This study uses a national longitudinal sample of women to examine variations in the likelihood of entering, staying, and reentering self-employment by level of educational attainment. The study found that each likelihood increased with increasing levels of education. This finding supports the notion that less-educated women may face financial or human capital constraints which limit their business pursuits. The study also identified to what extent differences in each likelihood contributed to the overall difference in the likelihood of being self-employed between more- and less-educated women. Of the three, differences in the likelihood of entry accounted for most of the overall difference in the likelihood of being self-employed between the more and less educated.


2021 ◽  
Vol 6 (2) ◽  
pp. 75-86
Author(s):  
Dr. Uzma Munawar ◽  
Dr. Fariha Gul ◽  
Dr. Shaista Noreen

Brain drain has gained attention since past few decades, this phenomenon is very apparent in Pakistan as number of people applying for immigration is increasing day by day. Although there are many measures that can be taken to reduce the process, however the best one in current local scenario is developing a safe and sound entrepreneurial niche. This study aims to provide causes of brain drain and preventive measures for this. Secondary aim of the study is to identify opinion of respondents about significance for using self-employment opportunities as solution for slowing the process of brain drain. Third this study will try to examine the relationship between factors causing brain drain and barriers preventing self-employment as career choice. Sample of the study was divided into two strata. First group consisted of 25 respondents from five high-notch professions including medicine and engineering. Second part of the sample was 20 students from doctoral (PhD), masters, medicine and engineering classes. A self developed instrumentwas be used to collect data. It is a semi-structured interview schedule for taking responses of first two segments of sample. Data was analyzed by using thematic analysis to achieve objectives of the study. It is evident that factors that are causing brain drain are almost same as those serving as barrier for adopting entrepreneurship as career choice. The officials can control brain drain by establishing entrepreneurial niche.


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