Yazar "Altinsoy, Abdulkadir" seçeneğine göre listele

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    Gender inequality in labor markets: a stochastic convergence study of unemployment gaps in the OECD
    (Emerald Group Publishing Ltd, 2025) Yilanci, Veli; Altinsoy, Abdulkadir; Unlu Bektas, Adviye Damla
    PurposeThis study aims to empirically investigate the stochastic convergence of the gender unemployment gap (male minus female unemployment rates) across 30 OECD countries for the period January 2000 to December 2024. It examines the persistence of this gap, framed within the theoretical tension between unemployment hysteresis and the Law of One Rate of Unemployment (LOOUR).Design/methodology/approachThe study employs the robust Bahmani-Oskooee, Chang, and Wu (BCW) panel unit root test, which innovatively accounts for both sharp structural breaks and smooth, nonlinear dynamics through Fourier functions, while being robust to cross-sectional dependence.FindingsThe findings reveal substantial evidence of stochastic convergence for a majority of the panel (25 out of 30 countries), meaning their individual gender unemployment gaps tend to revert towards the OECD average gender unemployment gap. This suggests that for these nations, shocks causing their gender unemployment gap to deviate from the OECD average are largely transitory.Originality/valueThis research offers a novel methodological perspective by directly examining the dynamic properties of the gender unemployment gap itself as a time series using advanced panel unit root tests. It contributes by empirically testing the LOOUR versus hysteresis debate specifically for gender-differentiated unemployment and provides evidence supporting tailored policy interventions to address both transitory and structural components of these disparities in developed labor markets.
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    Öğe
    THE DEPENDENCE OF CLEAN ENERGY STOCK PRICES ON THE OIL AND CARBON PRICES: A NONLINEAR PERSPECTIVE
    (Editura Ase, 2022) Yilanci, Veli; Ozgur, Onder; Altinsoy, Abdulkadir
    Climate change, rising environmental concerns increased scholar's awareness of the complex ties between clean energy stock prices and various environmental indicators. A clearer understanding of the potential ties between indicators and clean energy stock prices is critical for determining the financial performance of clean energy companies. This study adds to the literature by testing the existence of the long-run relationship between clean energy stock prices, and oil prices, carbon prices, technology stock prices, and interest rates by considering nonlinearity in the context of a structural change. The results show the existence of the cointegration relationship. The results of long-run estimation show that before the structural break date, technology stock prices, oil prices, and interest rates positively affect clean energy stock prices, and after this date, the effects of carbon prices and interest rates are reversed. Our results present some implications for both investors and policymakers.