Bilgilendirme: Sürüm Güncellemesi ve versiyon yükseltmesi nedeniyle, geçici süreyle zaman zaman kesintiler yaşanabilir ve veri içeriğinde değişkenlikler gözlemlenebilir. Göstereceğiniz anlayış için teşekkür ederiz.

Dış Ticaret Bölümü

Permanent URI for this communityhttps://hdl.handle.net/20.500.12416/4377

Browse

Browsing Dış Ticaret Bölümü by Author "Yasar, N."

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    Article
    Citation - Scopus: 1
    Stationarity Properties of Renewable Energy Consumption in the Commonwealth of Independent States
    (Econjournals, 2020) Yasar, N.; 230528; 01. Çankaya Üniversitesi
    This study investigates the stochastic properties of renewable energy consumption series across 11 Commonwealth of Independent States countries through the period of 1990-2015. For this purpose, along with traditional stationarity analysis recently improved unit root techniques which allows for nonlinear adjustments in the data generating process are used in this paper. Based on our findings we may conclude that, consideration of nonlinearity in regression process causes to more frequent non rejection of the null hypothesis of stationarity. It implies that ignoring possible nonlinearities in time series regression process may lead to some misleading results. Hereby, fluctuations in global energy supply and trade systems influence renewable energy consumption in nonlinear pattern and policy-makers should take it into consideration in terms of proper energy policy implication. © 2019, Econjournals. All rights reserved.
  • Thumbnail Image
    Article
    Stochastic Pattern of Health Care Spending: Evidence From Nonlinear Panel Data Analysis
    (Better Advances Press, 2021) Yasar, N.; 230528; 01. Çankaya Üniversitesi
    This paper analyses the stochastic pattern of health care spending for 188 countries around the world which are categorized into four groups based on the World Bank income categories. The main motivation of this ar-ticle is to evaluate whether the stochastic features of total health care expenditure varies if decomposed into private and public health care consumption. To achieve this goal, in addition to conventional empirical methods, latterly de-veloped panel stationarity approaches are employed for both linear and nonlinear regression processes. Our results demonstrate that allowing for cross-section dependency between series and nonlinearity in the estimation process may lead to more often rejection of the null hypothesis of unit root for all series in panel data set. © 2021 Better Advances Press. All rights reserved.