Ekonomi Bölümü Yayın Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/818
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Conference Object A Case Study: Internet Based Collaborative and Cooperative Learning(int inst informatics & Systemics, 2007) Demirbulak, Dilara; Aşkun, Ali Rıza; Demirbulak, Dilara; Askun, Ali Riza; Ortak Dersler Bölümü; İngiliz Dili ve EdebiyatıThe Internet has improved the quality and quantity of communication all over the world by providing opportunity to electronically deliver and share knowledge instantly all over the world. As for the impact of this on education the ones relevant for this study are the need to integrate educational technology and collaborative learning into curriculum. This is the third phase of a longitudinal study. It was carried out at an English Language Teacher Training Certificate Program, "Methodology" course at a Higher Education institution. The same course was being given by one instructor to two different groups of learners who had not met each other. Each week a different method was focused on by different groups of learners. Each group presented the principles of the method using the method itself and then discussions were carried out. The presentations were video-taped and discussions were carried out based on key points presented via power-point. The learners in the two courses focusing on the same methodology were asked to interact by means of the internet and their output was evaluated, Based on the results of data gathered it could be said that virtual teams learner outputs were, effective and in some cases were more effective than the face to face teams.Book Part Does the Term Structure of Interest Rate Predict Real Economic Activity? Nonlinear Evidence From Turkey(Nova Science Publishers, Inc., 2013) Omay, T.; Omay, Tolga; Hasanov, M.; Çankaya Meslek YüksekokuluIn this chapter we investigate whether the term structure of interest rates contains useful information about future real economic activity in Turkey for the period 1995:1 to 2003:3. The best model to describe the relationship between the term structure of interest rate and real economic activity in Turkey has been found to be Multiple Regime Smooth Transition Regression (MR-STR) model. Our results show that the relationship between the term structure of interest rates and the future economic activity is negative and significant in economic expansion and contraction periods, while it becomes positive and insignificant in moderate growth periods. In order to analyze these relationships, we employ correlation analysis by using nonparametric estimation technique. The results of correlation analysis are found to be consistent with the recursive Chow test and parameter stability tests. In addition, the correlation analysis indicates that the negative effects of the spread on real output can be explained by the interaction between the effects of the Expectation Hypothesis and Interest Transmission Channel. © 2012 by Nova Science Publishers, Inc. All rights reserved.Article Citation - WoS: 10Citation - Scopus: 11Is There Convergence in Renewable Energy Deployment? Evidence From a New Panel Unit Root Test With Smooth and Sharp Structural Breaks(Pergamon-elsevier Science Ltd, 2023) Omay, Tolga; Corakci, AysegulThis study examines whether the contribution of renewable energy to the total primary energy supply converges in a panel of 24 OECD countries over the period 1960-2020. To this end, a new panel unit root test that allows for both sharp and smooth breaks is proposed to test for the stochastic convergence hypothesis. Although renewable energy convergence is not rejected when the newly proposed test is applied to the full panel of OECD countries, it found only moderate support within the members of the panel using a sequential panel selection methodology. In fact, in two high-income OECD countries, the contribution of renewable energy to the primary energy supply shows no sign of convergence: Poland and Iceland. Therefore, the renewable energy shares seem to be converging to a common steady state in only a group of OECD countries over the long run. This uneven pattern of convergence, in turn, suggests that the OECD countries are still far away from developing a common sustainable renewable energy target, calling for urgent international policy cooperation to encourage the divergent econo-mies to seek out the menu of policies that ensure the worldwide success of renewable energy transformation.Article Citation - WoS: 1Citation - Scopus: 1A Unit Root Test With Markov Switching Deterministic Components: A Special Emphasis on Nonlinear Optimization Algorithms(Springer, 2024) Corakci, Aysegul; Omay, TolgaIn this study, we investigate the performance of different optimization algorithms in estimating the Markov switching (MS) deterministic components of the traditional ADF test. For this purpose, we consider Broyden, Fletcher, Goldfarb, and Shanno (BFGS), Berndt, Hall, Hall, Hausman (BHHH), Simplex, Genetic, and Expectation-Maximization (EM) algorithms. The simulation studies show that the Simplex method has significant advantages over the other commonly used hill-climbing methods and EM. It gives unbiased estimates of the MS deterministic components of the ADF unit root test and delivers good size and power properties. When Hamilton's (Econometrica 57:357-384, 1989) MS model is re-evaluated in conjunction with the alternative algorithms, we furthermore show that Simplex converges to the global optima in stationary MS models with remarkably high precision and even when convergence criterion is raised, or initial values are altered. These advantages of the Simplex routine in MS models allow us to contribute to the current literature. First, we produce the exact critical values of the generalized ADF unit root test with MS breaks in trends. Second, we derive the asymptotic distribution of this test and provide its invariance feature.Book Türkiye' de namus cinayetlerinin dinamikleri(Nüfus Bilim Derneği, 2005) Kardam, FilizBook Part Türkiye’de Cumhuriyetçi Vatandaşlık: Algılama, Pratikler ve Gerilimler(Yordam Kitap, 2009) Kardam, Filiz; Cengiz, KurtuluşBook Social Capital and Business Development in High-Technology Clusters: An Analysis of Contemporary U.S. Agglomerations(2008) Aydoğan, Neslihan; Chen, Yiu PorArticle Citation - WoS: 62Citation - Scopus: 64Multiple Linear Regression Model Under Nonnormality(Taylor & Francis inc, 2004) Islam, MQ; Tiku, MLWe consider multiple linear regression models under nonnormality. We derive modified maximum likelihood estimators (MMLEs) of the parameters and show that they are efficient and robust. We show that the least squares esimators are considerably less efficient. We compare the efficiencies of the MMLEs and the M estimators for symmetric distributions and show that, for plausible alternatives to an assumed distribution, the former are more efficient. We provide real-life examples.Article Citation - WoS: 27Citation - Scopus: 29Nonnormal Regression. I. Skew Distributions(Taylor & Francis inc, 2001) Islam, MQ; Tiku, ML; Yildirim, FIn a linear regression model of the type y = thetaX + e, it is often assumed that the random error e is normally distributed. In numerous situations, e.g., when y measures life times or reaction times, e typically has a skew distribution. We consider two important families of skew distributions, (a) Weibull with support IR: (0, infinity) on the real line, and (b) generalised logistic with support IR: (-infinity, infinity). Since the maximum likelihood estimators are intractable in these situations, we derive modified likelihood estimators which have explicit algebraic forms and are, therefore, easy to compute. We show that these estimators are remarkably efficient, and robust. We develop hypothesis testing procedures and give a real life example.Article Citation - WoS: 42Citation - Scopus: 47Nonnormal Regression.: Ii.: Symmetric Distributions(Taylor & Francis inc, 2001) Tiku, ML; Islam, MQ; Selçuk, ASSalient features of a family of short-tailed symmetric distributions, introduced recently by Tiku and Vaughan [1], are enunciated. Assuming the error distribution to be one of this family, the methodology of modified likelihood is used to derive MML estimators of parameters in a linear regression model. The estimators are shown to be efficient, and robust to inliers. This paper is essentially the first to achieve robustness to infers. The methodology is extended to long-tailed symmetric distributions and the resulting estimators are shown to be efficient, and robust to outliers. This paper should be read in conjunction with Islam et al. [2] who develop modified likelihood methodology for skew distributions in the context of linear regression.