Examination of The Effect of Schooling and Experience on The Level of Earnings by Semiparametric Regression Method
Öz
The aim of this study is to reveal the effect of schooling and experience on earnings in Turkey by using the Mincer earnings model. This model states that education and experience are important determinants on earnings. In this context, the effect of the schooling year and experience of the employees on the wage level was examined through the semiparametric regression estimation. Years of schooling, years of experience, marital status and gender variables were taken from the years of 2011 and 2019 household budget statistics micro data set created by the Turkish Statistical Institute and used in the model. Parametric regression does not give accurate results if the model does not have a certain functional form about the relationship between the variables. To overcome this problem, semiparametric regression method was used, which allows both parametric and nonparametric variables to be used in the same model. The results indicate that the schooling year has a positive effect on the wage level. While the effect of experience on earnings is positive up to a certain period, this effect follows a negative course after a while.
Anahtar Kelimeler
Human capital, labor market, Mincer earnings model, semiparametric regression model.
Destekleyen Kurum
Anadolu Üniversitesi Bilimsel Araştırma Projeleri Komisyonu
Proje Numarası
1901E010
Kaynakça
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