Türkiye’de Hizmet Sektöründe Bilgi Yoğunluğuna Göre Cinsiyete Dayalı Ücret Farklılıkları

Year 2022, , 272 - 294, 01.04.2022

Sinem Sefil Tansever

https://doi.org/10.17153/oguiibf.985091

Abstract

Bu çalışma, Türkiye’de bilgi yoğun hizmetlerin, hizmet sektöründe cinsiyete dayalı ücret farklılıklarını ve kadın işgücü niteliklerini iyileştirip iyileştirmediğini 2019 Türkiye Hanehalkı İşgücü Araştırması verilerini kullanarak belirlemeyi amaçlamaktadır. Ortalama ücret farklılıkları ve ücret dağılımı boyunca ücret farklılıkları sırasıyla Heckman örneklem seçilim modeliyle birlikte Oaxaca-Blinder dekompozisyonu ve Melly dekompozisyonu yöntemleriyle incelenmiştir. Sonuçlar, bilgi yoğun hizmetlerin istihdamında kadınların nispeten daha yüksek ortalama ücret elde etmelerine rağmen, bilgi yoğun hizmetlerde sektör içi cinsiyete dayalı ücret eşitsizliğinin daha yüksek olduğunu ve hizmet sektörüne göre nispeten daha kötü çalışma koşulları sunduğunu göstermektedir.

Keywords

Blinder-Oaxaca, Melly, Kantil, Cinsiyet, Bilgi Yoğun Hizmet, Ücret Eşitsizliği

Gender Wage Gaps by Knowledge Intensity in Turkish Service Sector

Abstract

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.

Keywords

Blinder-Oaxaca, Melly, Quantile, Gender, KIS, Wage Gaps

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