İktisat Bölümü
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Article Citation - WoS: 4Citation - Scopus: 4Analysis of distinct asymmetries in financialintegration-growthnexus for industrial, emerging and developing countries(Wiley, 2022) Yolcu Karadam, Duygu; Öcal, Nadir; Ocal, Nadir; İktisatThis paper examines the threshold conditions in financial integration and growth relationship for a large set of threshold variables and different income group of countries employing Panel Smooth Transition Regression Models. Except developing countries, our findings strongly indicate nonlinear dynamics and imply that the impact of financial integration on growth is asymmetric depending on a number of indicators such as countries' degree of institutional quality, financial sector development, trade openness, budget deficit, inflation volatility and the level of financial integration. Our results show that these threshold effects substantially differ for emerging and industrial countries. As far as whole set of countries is concerned, our findings imply that countries having developed financial systems, qualified institutions and stable macroeconomic environment benefit from financial integration. Moreover, threshold effects are stronger and different for emerging countries compared to the industrial countries. Unlike emerging economies, higher levels of financial integration and trade openness decrease benefits from financial openness for the industrial countries. Besides, high fiscal deficit has more pronounced negative effect on the growth of the industrialized countries compared to emerging economies and other indicators.Article Citation - WoS: 4Citation - Scopus: 4Inference in multivariate linear regression models with elliptically distributed errors(Taylor & Francis Ltd, 2014) Yıldırım, Fetih; Islam, M. Qamarul; Yildirim, Fetih; Yazıcı, Mehmet; Yazici, Mehmet; 6772; 144084; Ortak Dersler Bölümü; İktisatIn this study we investigate the problem of estimation and testing of hypotheses in multivariate linear regression models when the errors involved are assumed to be non-normally distributed. We consider the class of heavy-tailed distributions for this purpose. Although our method is applicable for any distribution in this class, we take the multivariate t-distribution for illustration. This distribution has applications in many fields of applied research such as Economics, Business, and Finance. For estimation purpose, we use the modified maximum likelihood method in order to get the so-called modified maximum likelihood estimates that are obtained in a closed form. We show that these estimates are substantially more efficient than least-square estimates. They are also found to be robust to reasonable deviations from the assumed distribution and also many data anomalies such as the presence of outliers in the sample, etc. We further provide test statistics for testing the relevant hypothesis regarding the regression coefficients.Article Citation - WoS: 13Citation - Scopus: 13Multiple linear regression model with stochastic design variables(Taylor & Francis Ltd, 2010) Islam, M. Qamarul; Tiku, Moti L.In a simple multiple linear regression model, the design variables have traditionally been assumed to be non-stochastic. In numerous real-life situations, however, they are stochastic and non-normal. Estimators of parameters applicable to such situations are developed. It is shown that these estimators are efficient and robust. A real-life example is given.Article Citation - WoS: 0Citation - Scopus: 1Real exchange rates and job flows: evidence from Turkey(Routledge Journals, Taylor & Francis Ltd, 2018) Dogan, Ergun; Yazıcı, Mehmet; Islam, M. Qamarul; Yazici, Mehmet; 43080; 14480; İktisatThis study investigates the effects of the real exchange rate on job flows in Turkish manufacturing industries between 2006 and 2015 using data at the four-digit NACE Revision 2 level. Using dynamic panel data models, we find that a real appreciation increases gross and net job creation rates, and that the effect of appreciation is magnified as the exposure to international competitiveness of industries increases. We think that this is because Turkish manufacturing firms import a greater share of their inputs compared to the firms in developed countries. Hence, an appreciation creates more jobs because lower imported input costs enable firms to outcompete foreign producers.Article Citation - WoS: 7Citation - Scopus: 6The effects of federal regulations on corruption in US States(Elsevier Science inc, 2020) Dincer, Oguzhan; Günalp, Burak; Gunalp, Burak; 9839; Yönetim Bilişim SistemleriUsing the newly constructed Federal Regulation and State Enterprise Index (FRASE Index) to measure the federal regulations and the existing Corruption Convictions Index (CCI), we investigate the effects of federal regulations on corruption in U.S. states. Controlling for several demographic and economic variables including the Fraser Institute's Economic Freedom Index (EFI), which measures the size and scope of government in U.S. states, we find a positive and statistically significant relationship between federal regulations and corruption. Our findings have important policy implications. A 1 standard deviation increase in FRASE Index causes CCI to increase by approximately 0.5 standard deviations. Standardized coefficient of EFI is also approximately equal to 0.5. In other words, it is possible to mitigate the effects of regulations at the federal level by reducing the size and the scope of the government at the state level.Article Citation - WoS: 11Citation - Scopus: 12Transportation-communication capital and economic growth: a vecm analysis for Turkey(Routledge Journals, Taylor & Francis Ltd, 2012) Eruygur, Aysegul; Kaynak, Muhtesem; Mert, Merter; 114352This paper analyses the short- and long-term relationships between the transportation-communication capital and the output for Turkey. The study applies a Cobb-Douglas production function under the assumption of constant returns to scale and employs co-integration analysis by estimating a vector error correction model (VECM). As a result of the VECM estimation, one co-integrating relationship is detected. The results based on the impulse response function analysis imply that per labour transportation-communication capital appears both to have been a crucial input in the Turkish productive process and to have had a positive crowding in effect on the per labour non-residential total capital formation. Moreover, the results support the argument that the transportation-communication capital has a lagged impact on economic growth. The long-term accumulated elasticity of output to transportation-communication capital has been found to be 0.59. The long-term accumulated marginal product was also calculated. It implies that a 1 Turkish Lira increase in per labour transportation-communication capital results in a long-term rise of 1.45 Turkish Liras in per labour output. All these findings suggest that transportation-communication capital may be a powerful tool for policy-makers to promote long-term per labour real output growth in Turkey.
