Journals / Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi / 2022 / Cilt: 17 - Sayı: 1

Gender Wage Gaps by Knowledge Intensity in Turkish Service Sector

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

Pages
272–294
Publication Date
2022-04-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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.

📌 3 Key Takeaways

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Objective & Hypothesis: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.
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Key Findings & Data: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.
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Conclusion & Impact: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.
🔬Design:Survey & Empirical Study
📍Scope:2019 Verileri
⚙️Variables:Blinder-Oaxaca · Melly · Kantil

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.

Özet

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.

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Cite This Article

TANSEVER, S. S. (2022). Gender Wage Gaps by Knowledge Intensity in Turkish Service Sector. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, Cilt: 17 - Sayı: 1, 272–294. https://ajindex.com/articles/383653

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References (8)

  1. Abd Elkhalek, A.M.A. (2017), “Impact of Knowledge Economy on the Participation of Women in Labor Market”, International Journal of Business and Economic Development, 5(2). Retrieved from: https://ijbed.org/details&cid=140
  2. Aktaş, A.; Uysal, G. (2016), “The gender wage gap in Turkey”, Marmara University Journal of Economic and Administrative Sciences, 38(2), 1-19. DOI: 10.14780/muiibd.280227 Atik, P.; Altıparmak, Y. (2011). “Avrupa Birliği Ve Türkiye’de Bilgi Sektörünün İstihdama Katkısı”, Bilgi Ekonomisi ve Yönetimi Dergisi, 6 (1). Barza, R.; Jara-Figueroa, C.; Hidalgo, C. Ã.; Viarengo, M. (2020), “Knowledge Intensity and Gender Wage Gaps: Evidence from Linked Employer-Employee Data”, (CESifo Working Paper No. 8543). Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3689464
  3. Batool, S. (2014), “Decomposition of Gender Wage Differential by Employer Size”, Sorbonne Center of the Economics, Retrieved From http://perso.uclouvain.be/vincent.vandenberghe/Workshop2014/Paper_presented/Poster_Batool_Seyda_gender%20decomposition%20paper_updatedBatool.pdf
  4. Belgorodskiy, A.; Crump, B.; Griffiths, M.; Logan, K.; Peter, R.; Richardson, H. (2012), “The Gender Pay Gap in the ICT Labour Market: Comparative Experiences from the UK and New Zealand”, New Technology, Work and Employment, 27(2), 106-119. https://doi.org/10.1111/j.1468-005X.2012.00281.x
  5. Blinder, A. (1973), “Wage Discrimination: Reduced Form and Structural Estimates”, The Journal of Human Resources, 8(4), 436-455. doi:10.2307/144855 Brussevich, M.; Dabla-Norris, M. E.; Khalid, S. (2019), “Is technology widening the gender gap? Automation and the future of female employment” IMF Working Paper:WP/19/91. Retrieved From: https://ideas.repec.org/p/imf/imfwpa/2019-091.html
  6. Buchinsky, M. (1998), “Recent advances in quantile regression models: a practical guideline for empirical research”, Journal of human resources, 33(1), 88-126. https://doi.org/10.2307/146316
  7. Bustelo, M.; Flabbi, L.; Viollaz, M. (2019), “The gender labor market gap in the digital economy”, IDB Working Paper Series: IDB-WP-1056. Byrne, G.; Staehr, L. (2011), “Women And The Australian ICT Industry: An Analysis Of ABS Census And Survey Data”, PACIS 2011 Proceedings:32. Retrieved From https://aisel.aisnet.org/pacis2011/32
  8. Cudeville, E.; Gurbuzer, L. Y. (2007), “Gender Wage Discrimination in the Turkish labor market”, Ces Working Papers: halshs-00188745. Retrieved From ht