Quantile Estimates for Social Returns to Education in Turkey: 2006–2009

Bakış, Ozan; Davutyan, Nurhan; Levent, Haluk; Polat, Sezgin

doi:10.1142/s179381201350017x

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…Studies comparing the returns to education of males and females provide consistent results that returns to education are higher among females (e.g., Bakis, Nurhan, Haluk, & Sezgin, 2013;Dougherty, 2005;Trostel, Walker, & Woolley, 2002). This finding Differences in Returns to Education in Jordan: Gender and Public-private Sector Analysis relies on the common consideration of considering female educational attainment (in many countries lower than among males) and female participation rate.…”

Section: Returns To Educationmentioning

confidence: 91%

Differences in Returns to Education in Jordan: Gender and Public-private Sector Analysis

Alshyab

Sandri

Abu-Lila³

2018

MJES

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Education is an investment and its returns in terms of increased wage can be used as an indicator for productivity in an economy. This paper analyses the relationship between education and earnings in Jordan in relation with gender and sector of employment (private versus public). Returns to education are estimated relying on a modification of the Mincer equation that takes into consideration gender and private versus public sector employment. The econometric analysis is based on the estimation of fixed effects models on a set of pseudo panel data covering the period between 2000 and 2015. The findings reveal that returns to education for male employees are higher than for female (the wage premium from one additional year of schooling is 6.8 percent for males and 5.5 percent for females) and that females get on average 74 percent of what males earn. We explain this result based on some peculiarities of female participation to the labour market in Jordan. It further emerges from the study that for male employees, wages in the private sector are 90 percent of the public sector, whereas for females, the private sector's wages are 74 percent of those in the public sector.

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Section: Returns To Educationmentioning

confidence: 91%

Differences in Returns to Education in Jordan: Gender and Public-private Sector Analysis

Alshyab

Sandri

Abu-Lila³

2018

MJES

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“…Instead, it focuses on tertiary education. Bakis et al (2013) analyze wage inequality by considering knowledge spillovers based on the increase in human capital by focusing on the private sector. Regional college share is included in the instrumental variable regressions to eliminate the endogeneity between wages and college shares.…”

Section: Literature Reviewmentioning

confidence: 99%

College majors and wages in Turkey: OLS and quantile regression with sample selection correction

Çiftçi

Ulucan

2021

IJDI

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Purpose This study aims to analyze the wage differentials of the majors in college education in Turkey, which is a country implementing an ongoing expansion in college education in recent years. Design/methodology/approach The study implements Mincreian wage regression using ordinary least squares, Heckman two-step estimation and quantile regression with sample selection correction by using household labor force surveys of TurkStat from the years 2014–2017. Findings The findings indicate one of the highest heterogeneity, close to 0.50 log points, between majors in the literature. The within-heterogeneity created by majors is highest among the graduates of social-behavioral sciences, law, biology, physics, mathematics, statistics, computer, engineering and manufacturing, as shown by a 90–10 difference, which is almost 700% for some of these majors. This study shows that the natural science and technical majors that are expected to be more productive and to be paid more fall behind in the wage distribution. Research limitations/implications Estimation results show that natural science majors, except for subjects allied to medicine and engineering, are paid lower than law and service-sector-related majors. This indicates that the predictions of the skill-biased technical change hypothesis are not valid in the wage profiles in Turkey and that some majors supply more than the sectoral needs. This casts doubts on the effectiveness of the ongoing higher education expansion process of the country. Originality/value This study contributes to the literature on wage differentials of college majors, an area with limited studies. This is the first study analyzing wage differentials of the field of studies by correcting sample selection bias for the Turkish case.

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“…Using the HLFS data, Bakis et al . () argue that post‐secondary wage inequality increased from 2004 to 2010, and that the wage gap widened between the lower and upper quantiles.…”

Section: Literature Reviewmentioning

confidence: 99%

Wage inequality in Turkey, 2002–10

Bakış

Polat

2014

Econ Transit

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This paper studies the evolution of wage inequality in Turkey using household labour force survey data from 2002 to 2010. Between 2002 and 2004, the relative supply of more‐educated workers to less‐educated workers remained constant while their relative wages decreased in favour of less‐educated workers. However, between 2004 and 2010, the relative supply of more‐educated workers to less‐educated workers rose, while their relative wages remained constant or kept increasing in favour of more‐educated workers. This suggests factors other than those implied by a simple supply‐demand model are involved, such as skill‐biased technical change or minimum wage variations. The decomposition of wage inequality reveals that the price (wage) effect dominates the composition effect particularly in the first period. Our results show that the real minimum wage hike in 2004 corresponds to a major institutional change, which proved to be welfare‐increasing in terms of wage inequality. The upper‐tail (90/50) wage inequality decreased between 2002 and 2004 and stayed constant thereafter, whereas the lower‐tail (50/10) wage inequality decreased throughout the period. Our findings thus provide evidence supporting the institutional argument for explaining wage inequality.

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Quantile Estimates for Social Returns to Education in Turkey: 2006–2009

Cited by 5 publications

References 4 publications

Differences in Returns to Education in Jordan: Gender and Public-private Sector Analysis

Differences in Returns to Education in Jordan: Gender and Public-private Sector Analysis

College majors and wages in Turkey: OLS and quantile regression with sample selection correction

Wage inequality in Turkey, 2002–10

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