General versus Vocational High Schools and Labor Market Outcomes in Turkey

Author(s):  
Aysit Tansel
2021 ◽  
Vol 2 (3) ◽  
pp. 307-323
Author(s):  
Rizqi Qurniawan ◽  
Thia Jasmina

To improve the quality and competitiveness of human capital and correspond to the Sustainable Development Goals (SDGs) 4 especially target 4.3, to ensure equal access for all women and men to affordable and quality technical, vocational and tertiary education, Indonesia has been focusing on improving the quality of secondary education. However, empirical data and previous research showed that secondary school graduates in Indonesia face high unemployment and income differences, especially vocational school graduates. The quality of secondary high schools plays an important role in determining the years of schooling of the graduates and indirectly impacts labor market outcomes. Using longitudinal panel data at the individual level from the Indonesia Family Life Survey (IFLS) of 2000, 2007, and 2014; and applying education production function and Mincer earning equation, this study finds that the difference in wages between graduates of general and vocational high schools is not statistically significant despite the school quality. However, analyzing within the vocational high schools shows that better quality of vocational high schools increases years of schooling of its graduates as they can access tertiary education, and subsequently increases their performance in the labor market. This finding indicates that policies to improve school quality, especially vocational high schools, should be enhanced.


2018 ◽  
Vol 11 (6) ◽  
pp. 145
Author(s):  
Lan Joo

The study examined the prevailing assumption of education’s role in labor market outcomes using samples from Korea's young adult population. KEEP, collected annually by KRIVET since 2004, includes an initial sample in 2004 of 12th graders from both general and vocational high schools; the sample size reflected a total of 2 000 students for each school type. In 2006, a similar sampling was taken with 11th graders from special-purposed high schools for study; the sample size reflected a total of 600 students. In this study, the respondents’ income-, social origin-, and education-related data were collected, and the multiple regression method was used to analyze the aforementioned data. The study examined the association between social origin and/or education and labor market outcomes, but given the prevalence of private tutoring in Korea, the study separated the examination of private tutoring recipients and compared their results to those of all general respondents. The findings revealed, against assumption, that the actual overall effect of education on income is weak, and there is no effect, especially, on private tutoring recipients. And if and when an association does exist, education appears to affect income negatively. On the other hand, social origin shows its statistical significance in its association with income across the groups; and among social origin components, the father’s educational level and employment type appear to be predictors.


Author(s):  
Carla Calero ◽  
Veronica Gonzales ◽  
Yuri Soares ◽  
Jochen Kluve ◽  
Carlos Henrique Leite Corseuil

Author(s):  
Anda David ◽  
Mohamed Ali Marouani

This chapter focuses on the external effects of emigration on non-migrants, and particularly on the interactions with labor market outcomes in Tunisia before and after the revolution. Using the new Tunisia Labor Market Panel Survey (TLMPS), we conduct an in-depth analysis of the structure and dynamics of migration, including the profile of migrants and their origin households, mainly in terms of skills and spatial composition. We investigate transition matrices, employment status, income for current migrants and returnees, and the evolution of remittances. Our analysis confirms the role of emigration as a safety valve for the Tunisian labor market. Moreover, origin households of migrants have a significantly higher wealth index. Our analysis also tends to confirm the effects of remittances on labor supply of non-migrants, which can have a negative impact on Tunisia’s unemployment rate when a crisis in destination countries affects the remittance rate negatively.


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