Philosophical Views and Basic Theories of System Dynamics

System dynamics, founded by professor Forrester at Massachusetts Institute of Technology in 1956, is a discipline which analyzes and studies the system of information feedback. Basic views of theories of system dynamics distinctively show its dialectical characteristics. More attention should be paid to the features of complicated nonlinear systems. The model simulation of system dynamics is a kind of structure-function simulation. One of the remarkable advantages of system dynamics is that it can handle problems of high order, nonlinear and multiplefeedback system.     

The Ideological Convergence of Civil Society Organizations and Newspapers in Turkey

This study investigates the extent to which newspapers are polarized in representing civil society organizations in Turkey. In examining the news in 15 printed newspapers and 2 online newspapers in 2017, we found that (1) 1499 associations and 499 foundations were mentioned but not equally distributed across the newspapers, (2) Turkish newspapers’ coverage of associations/foundations was affected by the type of association/foundation (religious/conservative vs. secular) and newspaper (pro-government vs. anti-government), (3) when news about an association/foundation appeared in pro-government newspapers, it did not appear in anti-government newspapers, and vice versa, and (4) secular associations/foundations were covered more often by anti-government newspapers than by pro-government newspapers. We therefore argue that in countries such as Turkey, where civil society organizations have historically been closely allied with state or political ideologies, newspapers’ political stances affect the media coverage of civil society organizations.

     

A POSSIBLE EXPLANATION OF THE MISSING DEFLATION PUZZLE

Following the Great Recession, despite large and persistent slowdown in economic activity, the fall in inflation was modest. This is known as the missing deflation puzzle. In this paper, we develop and estimate a New Keynesian model to provide an explanation for the puzzle. The new model allows for time-varying volatility in cross-sectional idiosyncratic uncertainty and accounts for changes in intermediate input prices. We show that inflation did not fall much because intermediate input prices were increasing. (JEL E31, E32, E52)     

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...     

Understanding Directional Dependence Through Angular Correlation

In this article, we will suggest a way of understanding dependence structure depending according to direction in three-dimensional case. Directions will be associated with angles so that informative graphical displays can be produced.     

Some Observations on Copula Regression Functions

ABSTRACT

The main objective of this article is to introduce an alternative way of looking at regression analysis by using copulas. To achieve our objective we work on copula regression function, study its properties, and discuss advantages that will come out from our approach.     

A note on dependence modeling for Bernoulli variables

Understanding and modeling multivariate dependence structures depending upon the direction are challenging but an interest of theoretical and applied researchers. In this paper, we propose a characterization of tables generated by Bernoulli variables through the uniformization of the marginals and refer to them as Q-type tables. The idea is similar to the copulas. This approach helps to see the dependence structure clearly by eliminating the effect of the marginals that have nothing to do with the dependence structure. We define and study conditional and unconditional Q-type tables and provide various applications for them. The limitations of existing approaches such as Cochran-Mantel-Haenszel pooled odds ratio are discussed, and a new one that stems naturally from our approach is introduced.     

A Decomposition of Copulas and Its Use

ABSTRACT

In this article, we create a decomposition that represents and describes the depen-dence structure between two variables. Since copulas provide a deep understanding of the dependence structure by eliminating the effects of the marginals, they play a key role in this study. We define a discretized copula density matrix and decompose it into a set of permutation matrices by using the Birkhoff–von Neumann theorem. This decomposition provides a way to effectively apply the concepts of copulas to solve problems in multivariate statistical data analysis.     

Truncation invariant dependence structures

In this paper, a special class of m-dimensional distribution functions which can be uniquely determined in terms of their 2-dimensional marginals is studied. The members of the class can be characterized as having truncation invariant dependence structure. The representation given in this paper provides a physical meaning to the multivariate Cook-Johnson distribution, and introduces a systematic way of generating higher dimensional distributions by using rich 2-dimensional distributions provided that the 2-dimensional marginals are compatible. A class of 3-dimensional multivariate normal distribution has been generated and bounds in terms of lower dimensional marginals are provided.