Affiliation:
1. Kutahya Dumlupinar University
2. ESKİŞEHİR OSMANGAZİ ÜNİVERSİTESİ, İKTİSADİ VE İDARİ BİLİMLER FAKÜLTESİ, İKTİSAT BÖLÜMÜ
Abstract
In this paper we estimate the income effects of horizontal mismatch and its interaction with fields of study for Turkish higher education graduates using Turkish Labor Force Survey dataset. After controlling the vertical mismatch to reduce potential bias, our baseline findings show that one point (decrease) increase in (mis)matching index leads to 21.9% wage (penalty) growth. However, the return to the matching varies significantly between fields of study. We also explore extent to which impact of horizontal mismatch is sensitive to the ability levels represented by conditional quantile of the income distribution of graduates. Our quantile regression estimations point us heterogenous matching returns for different quantiles of fields of study. While positive wage effect of matching is significantly valid at the above and below the median income in six and three majors respectively, three majors’ negative matching is at above the median income.
Publisher
Ege Akademik Bakis (Ege Academic Review)
Reference45 articles.
1. Acar, E. Ö. (2016). The effects of education-job mismatch on wages: a panel analysis of the Turkish labor market. Uluslararası İktisadi ve İdari İncelemeler Dergisi, (18), 339-354.
2. Alba-Ramirez, A. (1993). Mismatch in the Spanish labor market: overeducation? The Journal of Human Resources, 28(2), 259-278.
3. Allen, J., & Van der Velden, R. (2001). Educational mismatches versus skill mismatches: effects on wages, job satisfaction, and on-the-job search. Oxford Economic Papers, 53(3), 434-452.
4. Altonji, J. G., Blom, E., & Meghir, C. (2012). Heterogeneity in human capital investments: high school curriculum, college major, and careers. Annu. Rev. Econ., 4(1), 185-223.
5. Aydede, Y., & Dar, A. (2016). The cost of immigrants’ occupational mismatch and the effectiveness of postarrival policies in Canada. IZA Journal of Migration, 5(1), 1-23.