DOI:

Abstract

To study gap in income between groups of worker has thus far attracted many economic researchers. In this paper, the dataset to be collated from 401 migrant and local workers will be analyzed to define primary factors affecting such gap and changes in income. Additionally, Mincer's equations, Oaxaca-Blinder decomposition technique, and the quantile regression model by Koenker and Bassett are utilized to facilitate the analysis. The findings show that years of schooling and working experience play an important role in improving income in general; income gap can be explained by gap in years of schooling, working experience, and gender; and such gap show an upward tendency under the impacts of glass ceiling.

Keywords

Labor; Income Estimates; Income Gap; Human Capital.