DEMOGRAFİK GEÇİŞ İLE GELİR VE TÜKETİM EŞİTSİZLİĞİ İLİŞKİSİ: OECD ÜLKELERİ ÜZERİNE AMPİRİK BİR ANALİZ

Yıl 2018, Cilt: 36 Sayı: 4, 95 - 116, 30.12.2018

İpek Tekin , Hüseyin Mahir Fisunoğlu Mina Mahjoub Laleh

https://doi.org/10.17065/huniibf.324255

Cited By: 2

Öz

Demografik geçiş sürecinin
etkisiyle dünya genelinde nüfus hızlı bir şekilde yaşlanmaktadır. Nüfusun
yaşlanması son yıllarda hızla gelişen ve üzerinde durulması gereken bir konu
olarak karşımıza çıkmaktadır. Bu sürecin etkisi birçok açıdan tartışılabileceği
gibi, bazı ampirik çalışmalar yaşam boyu gelir modeli kapsamında nüfusun
yaşlanması ile eşitsizlik arasındaki anlamlı ilişkiyi ortaya koymaktadır. Bu
çalışmanın amacı da demografik geçiş sürecinin etkisiyle söz konusu olan nüfus
yaşlanmasının, OECD ülkelerinde ekonomik refah düzeyindeki eşitsizlik üzerinde
ne ölçüde bir etkisinin olduğunu, 2003-2014 dönemi için hem gelir hem de
tüketim eşitsizliği çerçevesinde analiz etmektir. Bu kapsamda dinamik panel
veri analiz yöntemi uygulanmıştır. Elde edilen sonuçlar 15-64 yaş arası nüfustaki
artışın hem gelir hem de tüketim eşitsizliğini artırdığını ortaya koyarken, 65
yaş üzeri nüfustaki artışın yalnızca gelir eşitsizliğini artırdığı görülmüştür.

Anahtar Kelimeler

Demografik geçiş, gelir eşitsizliği, tüketim eşitsizliği, panel veri, OECD ülkeleri

DEMOGRAPHIC TRANSITION, INCOME AND CONSUMPTION INEQUALITY: AN EMPIRICAL ANALYSIS FOR OECD COUNTRIES

Öz

In
consequence of demographic transition process populations in many countries all
around the world are rapidly aging. Population-aging has been an emerging and a
striking subject in recent years in terms of economical and sociological
effects it creates. Besides, as this process can be discussed in terms of
different aspects, some empirical studies state that there exists a significant
relationship between population aging and inequality in the context of life
cycle permanent income model. Present study analyzes whether population-aging
affects inequality in 14 OECD countries not only within the frame of income
inequality but also that of consumption inequality in the context of time
dimension rather than life cycle dimension for the period of 2003-2014. Dynamic
panel data analysis method and difference GMM estimator are used for this
purpose. According to results both consumption and income inequality increase
with population aging.

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