No abstract

This study examines the regional earnings inequality between NUTS-1 regions in Turkey using Theil-T statistics by employing Survey of Income and Living Conditions (SILC) data provided by Turkish Statistical Institute (TURKSTAT). We attempt to investigate the evolution of regional earnings inequality for the years 2006 and 2014 by decomposing the Theil T index in order to distinguish its within and between groups components with the special focus on the several attributive subgroups of labor such as education, economic sector, position in occupation and gender. We interpret the decomposition of Theil-T index with regard to its marginal and gross contributions of these subgroups to total inequality in order to measure their explanatory power of earnings inequality.

Article History

This study aims to determine whether knowledge intensive services (KIS) reduce gender wage gaps and women’s labor attributes in the Turkish service sector by employing survey data from the Turkish Household Labor Force Survey of 2019. Both mean wage differences and wage differences across the wage distribution are examined by employing the Oaxaca–Blinder wage decomposition, along with the Heckman sample selection procedure, and the Melly decomposition approaches respectively. The results suggest that, in spite of the relatively higher mean wages of women in KIS employment, KIS offers worse employment outcomes for women in terms of intra-sector wage inequality, and relatively poorer working conditions than the Turkish service sector.