Teknolojik Değişme ve İstihdam Arasındaki Dinamik İlişki: Genç İstihdamı ile Toplam İstihdamın Panel VAR ve Nedensellik Analizleri ile Karşılaştırılması

Year 2022, , 11 - 34, 25.10.2022

Selda Görkey

https://doi.org/10.17233/sosyoekonomi.2022.04.01

Abstract

Bu çalışma teknolojik değişme ile istihdam arasındaki ilişkiyi ve nedenselliği, genç istihdamı ile toplam istihdamı karşılaştırarak, ampirik olarak incelemektedir. Çalışma, 16 OECD ülkesi için 1985-2018 arası dönemdeki verileri kapsamakta olup teknolojik değişmenin göstergesi olarak çoklu faktör verimliliğini (ÇFV) kullanmaktadır. Genelleştirilmiş Momentler Panel Vektör Otoregresif (GMM Panel-VAR) analizi bulguları, ÇFV’nin genç ve toplam istihdamın üzerinde anlamlı ve pozitif etkisinin bulunduğunu; genç istihdamın ÇFV üzerindeki etkisinin ise anlamlı fakat negatif olduğunu göstermektedir. Panel VAR-Granger Nedensellik analizi bulgularına göre ise ÇFV ile genç istihdamı arasında çift-yönlü, ÇFV’den toplam istihdama doğru ise tek-yönlü nedensellik bulunmaktadır. Böylelikle bu çalışma ile teknolojik değişmenin iş yaratma etkisi ampirik olarak doğrulanmakta ve teknolojik değişme-istihdam ilişkisinin genç istihdamı için, toplam istihdama kıyasla, farklı olduğu sonucunu ulaşılmıştır.

Keywords

ÇFV, Çoklu Faktör Verimliliği, Genç İstihdamı, İstihdam, İş Yaratma, Panel VAR, Panel VAR-Granger Nedensellik

The Dynamic Relationship between Technological Change and Employment: A Comparison of Youth and Total Employment using Panel VAR Approach and Causality Analysis

Abstract

This study empirically examines the relationship and causality between technological change and employment by comparing youth and total employment. It covers data from 16 OECD economies from 1985 to 2018 and uses multifactor productivity (MFP) as a proxy for technological change. The findings from the general method of moments panel vector autoregression (GMM Panel-VAR) approach indicate significant and positive effects of MFP on youth and total employment, and a significant yet negative impact of youth employment on MFP. According to Panel-VAR-Granger-Causality analysis results, there is a two-way causality between MFP and youth employment and a one-way causality from MFP to total employment. Thus, this study empirically confirms the job-creation effect of technology and finds out that the technological change and employment nexus differs for youth employment compared to that for total employment.

Keywords

Technological Change, MFP, Multifactor Productivity, Youth Employment, Employment, Job-Creation, Panel VAR, Panel VAR Granger-Causality

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