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İndeks: Emerging Sources Citation Index (ESCI) × Konu: Employment ×

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  • Küçük Resim
    Yayın
    The dynamic relationship between technological change and employment: a comparison of youth and total employment using panel VAR approach and causality analysis
    (Sosyoekonomi Derneği, 2022-10) Görkey, Selda
    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 jobcreation effect of technology and finds out that the technological change and employment nexus differs for youth employment compared to that for total employment.
  • Küçük Resim
    Yayın
    Technological change and unemployment nexus from a gender perspective: empirical evidence from a panel cointegration approach
    (Routledge, 2022-06-27) Görkey, Selda
    This study investigates the long-run relationship between technological change and unemployment, focusing on a gender perspective in developed economies. Considering the obstacles women face in accessing labor markets, this study aims to empirically combine the technological change and unemployment nexus with a gender perspective in 20 OECD economies from 1985 to 2019 by using multifactor productivity (MFP) as a proxy for technological change. The findings from Westerlund Panel Cointegration Test and Pedroni's Panel-Dynamic Ordinary Least-Squares (PDOLS) estimator indicate the presence of a long-run relationship between MFP and unemployment rate with diversified gender effects. Even though MFP affects total and male unemployment significantly and negatively in the long run, there is no significant effect on female unemployment for the whole panel. However, the findings by economies are diversified and they indicate the presence of technological unemployment for women in some economies. Thus, the empirical results clearly show that the long-run relationship between MFP and unemployment is affected by gender differences.