Browsing by Author "Kucuker, Mustafa Can"

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    Comparison of the Performance of Structural Break Tests in Stationary and Nonstationary Series: a New Bootstrap Algorithm
    (Springer, 2024) Camalan, Ozge; Hasdemir, Esra; Omay, Tolga; Kucuker, Mustafa Can; Economics; International Trade and Logistics
    Structural breaks are considered as permanent changes in the series mainly because of shocks, policy changes, and global crises. Hence, making estimations by ignoring the presence of structural breaks may cause the biased parameter value. In this context, it is vital to identify the presence of the structural breaks and the break dates in the series to prevent misleading results. Accordingly, the first aim of this study is to compare the performance of unit root with structural break tests allowing a single break and multiple structural breaks. For this purpose, firstly, a Monte Carlo simulation study has been conducted through using a generated homoscedastic and stationary series in different sample sizes to evaluate the performances of these tests. As a result of the simulation study, Zivot and Andrews (J Bus Econ Stat 20(1):25-44, 1992) are the best-performing tests in capturing a single break. The most powerful tests for the multiple break setting are those developed by Kapetanios (J Time Ser Anal 26(1):123-133, 2005) and Perron (Palgrave Handb Econom 1:278-352, 2006). A new Bootstrap algorithm has been proposed along with the study's primary aim. This newly proposed Bootstrap algorithm calculates the optimal number of statistically significant structural breaks under more general assumptions. Therefore, it guarantees finding an accurate number of optimal breaks in real-world data. In the empirical part, structural breaks in the real interest rate data of the US and Australia resulting from policy changes have been examined. The results concluded that the bootstrap sequential break test is the best-performing approach due to the general assumption made to cover real-world data.
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    How Does Macroeconomic and Socio-Political Index Affect the Real Gdp Per Qualified Worker? Evidence From Turkic Republics
    (Ahmet Yesevi Univ, 2023) Celik, Esref Ugur; Erdal, Fehmi Bugra; Kucuker, Mustafa Can; Omay, Tolga; Economics; Tourism Management
    In this study, we concentrated on the socioeconomic factors affecting the level of real GDP per qualified worker. For this purpose, we have used the macroeconomic and socio-political performance index for Turkic Republics. By using these newly established indices, determinants of the level of real GDP per qualified worker are analyzed for the first time in the literature. From the empirical investigation, we found that certain threshold levels significantly affect the real GDP level per qualified worker. Therefore, the policymakers of these countries should seriously consider these threshold levels for macroeconomic and socio-political performance index for conducting a well-organized policy for the prosperity of their countries.