Gender Wage Gaps by Knowledge Intensity in Turkish Service Sector


Creative Commons License

TANSEVER S.

ESKISEHIR OSMANGAZI UNIVERSITESI IIBF DERGISI-ESKISEHIR OSMANGAZI UNIVERSITY JOURNAL OF ECONOMICS AND ADMINISTRATIVE SCIENCES, cilt.1, sa.17, ss.272-294, 2022 (Hakemli Dergi) identifier identifier

Özet

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.