Template-Type: ReDIF-Article 1.0 Author-Name: Selçuk BALI Author-Email: selcuk.bali@giresun.edu.tr Author-Workplace-Name: Giresun Üniversitesi Author-Name: Gülhanım KAYATAŞ Author-Email: gulhanim.karatas@tcmb.gov.tr Author-Workplace-Name: T.C. Merkez Bankası Author-Name: Mete GÜLER Author-Email: mete.guler@hazine.gov.tr Author-Workplace-Name: Hazine Müsteşarlığı, Sigorta Denetleme Kurumu Title: the Basic Determinants of Foreign Direct Investment Inflows in Turkey (1988-2012) Abstract: Foreign direct investment (FDI) -which is the investment of foreign assets into domestic structures, equipment, and organization- is a type of durable investment unlike foreign investment into the stock markets that leaves suddenly when the economy faces any challenge. FDI is also considered to be a significant source of economic development by increasing employment, productivity, and constituting a bridge for skill and technology transfers. Developing countries differ from each other in benefiting from and attracting FDI. Despite its potential, Turkey is not one of them that crucially succeed in inflows of FDI. The objective of this study is to figure out the determinants of foreign direct investment in Turkey. In order to undertake it, we performed an econometric model based in time series data analysis for the period of 1988-2012. Journal: Eurasian Econometrics Statistics & Emprical Economics Journal Pages: 1-12 Volume: 3 Issue: 3 Year: 2016 Month: Feb DOI: 10.17740/eas.stat.2016â€�V3â€�01 File-URL: https://eurasianacademy.org/index.php/econstat/article/view/916 File-Format: Application/pdf Handle: RePEc:eas:econst:v:3:y:2016:i:3:p:1-12 Template-Type: ReDIF-Article 1.0 Author-Name: Şebnem ZORLUTUNA Author-Email: szorlutuna@cumhuriyet.edu.tr Author-Workplace-Name: Cumhuriyet Üniversitesi Author-Name: Necati Alp ERİLLİ Author-Email: aerilli@cumhuriyet.edu.tr Author-Workplace-Name: Cumhuriyet Üniversitesi Author-Name: Birsen YÜCEL Author-Email: byucel@cumhuriyet.edu.tr Author-Workplace-Name: Cumhuriyet Üniversitesi Title: Lung Cancer Study with Tobit Regression Analysis: Sivas Case Abstract: : Tobit regression models are the limited dependent variable models in a statement which is widely used and is defined as a non-parametric alternative for the method of least squares regression. Model is known as knowledge of the dependent variable models for some samples containing censored observations. Some experimental process, cannot be achieved for all values of the dependent variable. Dependent variables for these models are called limited dependent variable which value limited by ordered models. In this study Tobit model is used for the analysis, which widely used in the statement in limited dependent variable models. Data taken from Sivas Cumhuriyet University Faculty of Medicine Research and Application Hospital Oncology Center, consists 535 patients who have lung cancer. Tobit regression analysis was applied in the measurement of lung cancer patients (the lifetime) was tried to measure the effect of certain arguments. Using right and left censored models, cancers that are thought to trigger the patient's age, stage of disease, determining the variables affecting the disease status variables , data infrastructure has been created for the disease. Tobit regression results when the dependent variable phase of the patient's disease, the patient's gender, patient's condition , the pathological consequences of the disease was found to be statistically significant variables. The sex of the patient, while a positive effect on the stage of disease, condition and pathological condition of the patients were found to negative influences. Journal: Eurasian Econometrics Statistics & Emprical Economics Journal Pages: 13-22 Volume: 3 Issue: 3 Year: 2016 Month: Feb DOI: 10.17740/eas.stat.2016â€�V3â€�02 File-URL: https://eurasianacademy.org/index.php/econstat/article/view/917 File-Format: Application/pdf Handle: RePEc:eas:econst:v:3:y:2016:i:3:p:13-22 Template-Type: ReDIF-Article 1.0 Author-Name: Nurbanu BURSA Author-Email: nurbanubursa@hacettepe.edu.tr Author-Workplace-Name: Hacettepe Üniversitesi Author-Name: Gamze Özel KADILAR Author-Email: gamzeozl@hacettepe.edu.tr Author-Workplace-Name: Hacettepe Üniversitesi Title: Investigation of Turkey Credit Default Swaps with Entropy Concept Abstract: In financial markets, the use of credit default swaps as indicator of countries risk premium has become a common practice in recent times. Credit default swaps (CDS) are one of the most important financial products that can be used to calculate the probability of default of companies and countries. In this study, an econometric analysis was conducted with entropy concept for Turkey?s credit default swap spreads. The relationship between Turkey?s 5-year credit default swap spreads and BIST100 index, currency basket, overall balance of the budget and finance, the monthly rate of exports meeting imports was examined between the dates of January 2011 and October 2014. As a result of analysis, knowing the value of BIST100 index removes uncertainty largely about the CDS spreads. It is also seen from the calculated entropy correlation coefficients, BIST100 index has the highest correlation with CDS spreads and overall balance of the budget and finance has the lowest relationship. Journal: Eurasian Econometrics Statistics & Emprical Economics Journal Pages: 23-32 Volume: 3 Issue: 3 Year: 2016 Month: Feb DOI: 10.17740/eas.stat.2016â€�V3â€�03 File-URL: https://eurasianacademy.org/index.php/econstat/article/view/918 File-Format: Application/pdf Handle: RePEc:eas:econst:v:3:y:2016:i:3:p:23-32 Template-Type: ReDIF-Article 1.0 Author-Name: Yilmaz BAYAR Author-Email: yilmaz.bayar@usak.edu.tr Author-Workplace-Name: Usak University, Faculty of Economics and Administrative Sciences, Department of Economics Author-Name: Ömer Faruk OZTURK Author-Email: omerfaruk.ozturk@usak.edu.tr Author-Workplace-Name: Usak University, Faculty of Economics and Administrative Sciences, Department of Economics Title: Trade Openness and Environmental Pollution in Emerging Market Economies Abstract: Global trade volume has experienced significant increases with accelerating globalization process as of late 1970s. This study examines the impact of trade openness and economic growth on the environmental pollution in 20 emerging market economies during 1995-2011 period by using panel regression method and we found that both trade openness and economic growth had positive impact on the environmental pollution. Journal: Eurasian Econometrics Statistics & Emprical Economics Journal Pages: 33-42 Volume: 3 Issue: 3 Year: 2016 Month: Feb DOI: 10.17740/eas.stat.2016â€�V3â€�04 File-URL: https://eurasianacademy.org/index.php/econstat/article/view/919 File-Format: Application/pdf Handle: RePEc:eas:econst:v:3:y:2016:i:3:p:33-42 Template-Type: ReDIF-Article 1.0 Author-Name: BETÜL GÜR Author-Email: bgur@ticaret.edu.tr Author-Workplace-Name: İstanbul Ticaret Üniversistesi Ticari Bilimler Fakültesi İktisat Bölümü Title: An Analysis of the Relationship Between Foreign Direct Investment and Sociopolitical Factors via the Use of Panel Regression Abstract: Competitiveness has arisen between countries especially those that have inadequate internal resources because of the attention foreign direct investment has received in financing their development. Those developing countries that have been able to successfully create an environment which is attractive to the foreign investor have enjoyed a higher place among all other developing countries The foreign investor takes into account factors such as economic and political condition of the home country, its labor market and technological infrastructure to make the least costly and most profitable investment while taking as little risk as possible. Especially in the last five years sociopolitical factors have become important in the decision making process. The aim of this study is to analyze the relationship between direct foreign investment (FDI) and sociopolitical factors such as political risks, indices of perceived corruption, humanitarian development, risk of terror and multidimensional poverty. The relationship will be brought forth and interpreted via panel regression analysis. The study conducted about developing countries over the years 2010-2014 has demonstrated that all the independent factors with the exception of the index of multidimensional poverty have had a statistically meaningful effect on FDI. Journal: Eurasian Econometrics Statistics & Emprical Economics Journal Pages: 43-55 Volume: 3 Issue: 3 Year: 2016 Month: Feb DOI: 10.17740/eas.stat.2016â€�V3â€�05 File-URL: https://eurasianacademy.org/index.php/econstat/article/view/920 File-Format: Application/pdf Handle: RePEc:eas:econst:v:3:y:2016:i:3:p:43-55 Template-Type: ReDIF-Article 1.0 Author-Name: Mesut SAVRUL Author-Email: msavrul@comu.edu.tr Author-Workplace-Name: Çanakkale Onsekiz Mart Üniversitesi Title: The Effect of Innovation Performance on Dimensions of the Globalization Abstract: Developments such as deployment of local and nationalistic perspectives to a broader outlook of an interconnected and interdependent world with free transfer of capital, goods, and services across national frontiers are associated with Globalization phenomenon. Although globalization is not new it is used more commonly and associated with a new subject every day. Globalization is frequently associated with economic growth via expanding international trade, cross-border transfer of financial resources, increased foreign investments, growing multinational enterprises and joint ventures. However this new world of globalization resulted in greater international competition for the countries and obliged them to be innovative in order to remain at the forefront in the global competition environment. It is generally accepted that there is a strong relationship between innovation and globalization. However globalization doesn?t influence high income and low income countries same way. Furthermore different dimensions of globalization is affected by the innovation in a different way. In this paper innovation performance of the countries and the relationship between the dimension of globalization is investigated. The data is extracted from INSEAD Innovation Indexes and KOF Globalization Index and tested using panel regression analysis. The results have shown that except political globalization the relation connection between innovation and economic and social dimensions of globalization is significant and positive. Journal: Eurasian Econometrics Statistics & Emprical Economics Journal Pages: 56-67 Volume: 3 Issue: 3 Year: 2016 Month: Feb DOI: 10.17740/eas.stat.2016â€�V3â€�06 File-URL: https://eurasianacademy.org/index.php/econstat/article/view/921 File-Format: Application/pdf Handle: RePEc:eas:econst:v:3:y:2016:i:3:p:56-67