Transmission ehrenamtlichen Engagements im Elternhaus – Ergebnis von Sozialisation oder Statustransmission?Intergenerational Transmission of Volunteering – Socialization and Status Transmission Effects Disentangled

This paper focuses on the extent and mechanisms of intergenerational transmission of volunteering in Germany. A possible explanation of intergenerational transmission of volunteering is based on the influence of parental socialization during formative years of adolescence (aged 14–17 years). Respectively, parents can set role models by volunteering themselves which can be observed and imitated by their children due to social learning process which may have long lasting effects even after leaving parental home. However, social, cultural and financial resources provided by parents can also facilitate or impede volunteering. The social status of parents can influence the volunteering of parents as well as the children, and serve insofar as mediator of intergenerational transmission processes and respectively may overlap the socialization effect. Drawing on the German Socio Economic Panel Data (1984–2011) this study aims to disentangle socialization and status transmission processes. The analysis shows a clear positive correlation between parental volunteering during the formative period of its children and young adult’s volunteering now, even controlling for parental and children’s education and social status of parents. Thus, the results are consistent with socialization hypothesis and do not support the status transmission hypothesis.     

Kanban-based operational planning and control: simulation modelling

Selected published research on Kanban-based operational planning and control in assembly and flow lines is reviewed. The article focuses on simulation models and distinguishes between explorative and comparative type research. Operational and experimental design features reported are summarized in tabular format. Features of each study are discussed, findings are compared and ideas for research directions are given.     

Comparison of two weibull distributions under random censoring

The two-sample problem for comparing Weibull scale parameters is studied for randomly censored data. Three different test statistics are considered and their asymptotic properties are established under a sequence of local alternatives, It is shown that both the test statistic based on the mlefs (maximum likelihood estimators) and the likelihood ratio test are asymptotically optimum. The third statistic based only on the number of failures is not, Asymptotic relative efficiency of this statistic is obtained and its numerical values are computed for uniform and Weibull censoring, Effects of uniform random censoring on the censoring level of the experiment are illus¬trated, A direct proof for the joint asymptotic normality of the mlefs of the shape and the scale parameters is also given     

r-d Class Estimator Under Misspecification

Omission of some relevant explanatory variables and multicollinearity in regression models are very serious problems in applied works. There are some papers examining the multicollinearity and misspecification which is due to omission of some relevant explanatory variables, concurrently. To remedy the problem of multicollinearity, Kaç?ranlar and Sakall?o?lu (2001 Kaç?ranlar, S., Sakall?o?lu, S. (2001). Combining the Liu estimator and the principal component regression estimator. Commun. Stat. Theory Methods. 30:2699–2705.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) proposed the r-d class estimator that includes the ordinary least squares, principal components regression, and Liu estimators as special cases. The aim of this paper is to examine the performance of the r-d class estimator in misspecificied linear models.     

Energy performance evaluation of OECD countries using Bayesian stochastic frontier analysis and Bayesian network classifiers

More recently a large amount of interest has been devoted to the use of Bayesian methods for deriving parameter estimates of the stochastic frontier analysis. Bayesian stochastic frontier analysis (BSFA) seems to be a useful method to assess the efficiency in energy sector. However, BSFA results do not expose the multiple relationships between input and output variables and energy efficiency. This study proposes a framework to make inferences about BSFA efficiencies, recognizing the underlying relationships between variables and efficiency, using Bayesian network (BN) approach. BN classifiers are proposed as a method to analyze the results obtained from BSFA.     

On the Restricted Liu Estimator in the Logistic Regression Model

The logistic regression model is used when the response variables are dichotomous. In the presence of multicollinearity, the variance of the maximum likelihood estimator (MLE) becomes inflated. The Liu estimator for the linear regression model is proposed by Liu to remedy this problem. Urgan and Tez and Mansson et al. examined the Liu estimator (LE) for the logistic regression model. We introduced the restricted Liu estimator (RLE) for the logistic regression model. Moreover, a Monte Carlo simulation study is conducted for comparing the performances of the MLE, restricted maximum likelihood estimator (RMLE), LE, and RLE for the logistic regression model.     

Turkish dilemma after Operation Desert Storm (1990–1991): an analysis of “negative consequences”

This article analyzes the internal criticism of the political and economic consequences of Turkish support for the UN international coalition against Iraq's occupation of Kuwait in 1990. Was this criticism warranted and justifiable or not? To answer the research question, certain issues like the Kurdish problem, relations with other countries in the region, and economic issues will be examined in light of Operation Provide Comfort I and II regimes and the criticism they caused within Turkish politics. The paper will also examine the debate on the establishment of no-fly zones over northern Iraq, as well as the debate on the rise in “violence”.     

The Implementation of Voting from Abroad: Evidence from the 2014 Turkish Presidential Election

Voting from abroad (VFA) is a complex norm and practice due to the multilevel processes, structures and actors involved. This article explores the reasons behind the eventual adoption of this practice within the context of a long and well‐known history of emigration in Turkey. During the 2014 Turkish presidential election, emigrants from Turkey were finally allowed to participate from abroad even though legislation giving them this right has been in place since 1995. Based on archival research and fieldwork in Germany and the United States, this article discusses the varying relevance of three central explanatory factors to the implementation of VFA: emigrant lobbying, the electoral expectations of potential benefit by the governing party, and the presence of broader, state‐led diaspora engagement policies. The first of these is important but insufficient, whereas the second factor is necessary. Moreover, the presence of broader, state‐led diaspora engagement policies is a mediating factor. This article finds that specific actors like political parties may play the crucial role, highlighting the need for critical examination of their role in the implementation process.