Uniform trade rules for uncleared markets

We analyze markets in which the price of a traded commodity is such that the supply and the demand are unequal. Under standard assumptions, the agents then have single peaked preferences on their consumption or production choices. For such markets, we propose a class of Uniform trade rules each of which determines the volume of trade as the median of total demand, total supply, and an exogenous constant. Then these rules allocate this volume “uniformly” on either side of the market. We evaluate these “trade rules” on the basis of some standard axioms in the literature. We show that they uniquely satisfy Pareto optimality, strategy proofness, no-envy, and an informational simplicity axiom that we introduce. We also analyze the implications of anonymity, renegotiation proofness, and voluntary trade on this domain.     

Tracking public relations history in 1960s’ Turkey: The prevalence and reflections of development discourse

This study is based on a historical research, which focuses on the institutionalization of public relations in Turkey during the 1960s, and interprets this process in the frame of planned development discourse. Primary written sources collected from archive research and oral narratives generated from fourteen semi-structured interviews conducted with the pioneers in Turkey are analyzed through categorization and thematization. Findings of the historical research indicated that similar themes and orientations guided public relations practices in public and private sector in this period. Accordingly public relations education provided necessary intellectual background and human resources.     

Intercultural teaching through translation: an Information and Communication Technologies (ICT) literacy course case in Afghanistan

The purpose of this study was to teach and evaluate the effectiveness of an Information and Communication Technologies (ICT) course through translation to students in Afghanistan. First, an interview was conducted to determine students’ computer skills. It was concluded that the students had almost no computer skills. The course was delivered to two groups of first-year students for 14 weeks during one semester. In group one, students were taught by a Turkish instructor through a translator. The course was delivered to group 2 by a native-language speaking teacher. At the end of the semester, students of both groups were given a final exam and were asked to comment about teaching speed, overall satisfaction, teacher reactions, course materials and future improvements to the course. Statistically, there was no significant difference between the final performances of students in both groups. The students also declared that they wanted to greatly improve their computer skills and use the Internet to make use of digital ICT resources for other courses, too. An additional finding was that there was a 20-min time-delay between the Turkish and native groups due to the translation process throughout each course session.     

E-Bayesian estimation for the proportional hazard rate model based on record values

In this article, a new parameter estimation method, named E-Bayesian method, is considered to obtain the estimates of the unknown parameter and reliability function based on record values. The maximum likelihood, Bayesian, E-Bayesian, and hierarchical Bayesian estimates of the unknown parameter and reliability function are obtained when the underlying distribution belongs to the proportional hazard rate model. The Bayesian estimates are obtained based on squared error and linear-exponential loss functions. The previously obtained some relations for the E-Bayesian estimates are improved. The relationship between E-Bayesian and hierarchical Bayesian estimations are obtained under the same loss functions. The comparison of the derived estimates are carried out by using Monte Carlo simulations. Real data are analyzed for an illustration of the findings.     

Analyzing Collision,Grounding, and Sinking Accidents Occurring in the Black Sea Utilizing HFACS and Bayesian Networks

This study examines and analyzes marine accidents that have occurred over the past 20 years in the Black Sea. Geographic information system, human factor analysis and classification system (HFACS), and Bayesian network models are used to analyze the marine accidents. The most important feature distinguishing this study from other studies is that this is the first study to analyze accidents that have occurred across the whole Black Sea. Another important feature is the application of a new HFACS structure to reveal accident formation patterns. The results of this study indicate that accidents occurred in high concentrations in coastal regions of the Black Sea, especially in the Kerch Strait, Novorossiysk, Kilyos, Constanta, Riva, and Batumi regions. The formation of grounding and sinking accidents has been found to be similar in nature; the use of inland and old vessels has been highlighted as important factors in sinking and grounding incidents. However, the sequence of events leading to collision-contact accidents differs from the sequence of events resulting in grounding and sinking accidents. This study aims to provide information to the maritime industry regarding the occurrence of maritime incidents in the Black Sea, in order to assist with reduction and prevention of the marine accidents.     

Deprivation: Endowment and Discrimination?

Social Indicators Research - Due to the lack of good-quality data, there has been no sound research about the economic welfare of the Romani in the countries where they live. Drawing on a...     

Robust ridge and robust Liu estimator for regression based on the LTS estimator

In the multiple linear regression analysis, the ridge regression estimator and the Liu estimator are often used to address multicollinearity. Besides multicollinearity, outliers are also a problem in the multiple linear regression analysis. We propose new biased estimators based on the least trimmed squares (LTS) ridge estimator and the LTS Liu estimator in the case of the presence of both outliers and multicollinearity. For this purpose, a simulation study is conducted in order to see the difference between the robust ridge estimator and the robust Liu estimator in terms of their effectiveness; the mean square error. In our simulations, the behavior of the new biased estimators is examined for types of outliers: X-space outlier, Y-space outlier, and X-and Y-space outlier. The results for a number of different illustrative cases are presented. This paper also provides the results for the robust ridge regression and robust Liu estimators based on a real-life data set combining the problem of multicollinearity and outliers.