Türkiye'de Kadınların İşgücüne Katılımı ve Belirleyicileri Arasındaki Bağlantı: Wavelet Yaklaşımından Kanıtlar

Abstract

Bu çalışma, dalgacık metodolojisinin uygulanması yoluyla Türkiye'de kadınların işgücüne katılımı, kişi başına düşen GSYİH, eğitime erişim, doğurganlık ve ekonomik risk arasındaki dinamik bağlantıya dair yeni bir vizyon sunmak amacıyla yürütülmektedir. Kadınların işgücüne katılımı ile diğer değişkenler arasındaki bağlantının ampirik araştırması, 1990'dan 2019'a kadar olan yılları kapsayan üç aylık veriler kullanılarak çoklu ve kısmi wavelet analiz tekniklerinin hassas bir şekilde uygulanması yoluyla gerçekleştirilir. Çoklu ve kısmi wavelet analiz tekniklerinin kullanılması, kontrol değişkeninin rolünü sunar. Yazarın bildiği kadarıyla, daha önce yapılan hiçbir çalışma ekonomik büyümenin ve eğitime erişimin kadınların işgücüne katılım oranı üzerindeki etkisini wavelet analiz teknikleri aracılığıyla incelememektedir. Sonuç olarak, bu çalışmanın benzersizliği, ilgili literatürdeki bu boşluğu dolduracaktır; bu da, bu çalışmanın akademik literatüre ve politika alanına ana katkısını vurgulamaktadır. Ampirik sonuçlar, farklı kapsam ve frekanslardaki göstergeler arasındaki önemli bağlantıyı doğrulamaktadır. Genel sonuçlar, Türkiye örneğinde kişi başına GSYİH ile kadınların işgücüne katılım oranı arasındaki güçlü bağlantıyı ve bunu farklı zaman aralıklarında eğitim başarısının takip ettiğini ortaya koymaktadır. Bu nedenle politika tasarımı, Türkiye'nin işgücü piyasasında kadınların katılımını teşvik etmek için kişi başına düşen GSYİH'yı ve eğitim kazanımını teşvik etmelidir.

Keywords

• kişi başına gelir
• eğitim kazanımı
• Kadınların işgücüne katılım oranı
• Türkiye
• Çoklu wavelet analizi
• Kısmi wavelet analizi

FEMALE LABOUR FORCE PARTICIPATION IN TÜRKİYE: NEW EVIDENCE FROM WAVELET APPROACH

Abstract

This study is conducted to deliver a fresh vision of the dynamic connectedness between female labour force participation, per capita GDP, education attainment, fertility, and economic risk in Turkey through the application of wavelet methodology. The empirical investigation of the connectedness between FLFP and other variables is carried through precisely applying multiple and partial wavelet coherence techniques employing quarterly data covering the years from 1990 to 2019. The use of multiple and partial wavelet coherence presents the role of the control variable in the relationship between two variables. To the best of the author’s knowledge, no previous study explores the impact of economic growth and education attainment on FLFP through wavelet tools. Consequently, the uniqueness of this study will fill this gap in the related literature, which highlights the main contribution of this study to the academic literature and policy arena. Empirical outcomes confirm significant connectedness between indicators over different spans and frequencies. Overall results put forth the strong link between GDP per and FLFP in the case of Turkey, followed by education attainment over different time spans. Thus, the policy design should promote GDP per capita and education attainment to encourage female attainment in the labour market of Turkey.

Keywords

• FLFP
• Turkey
• per capita income
• education attainment
• multiple wavelet coherence
• partial wavelet coherence

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