Generalised Rank Regression Estimator with Standard Error Adjusted Lasso

One of the standard variable selection procedures in multiple linear regression is to use a penalisation technique in least‐squares (LS) analysis. In this setting, many different types of penalties have been introduced to achieve variable selection. It is well known that LS analysis is sensitive to outliers, and consequently outliers can present serious problems for the classical variable selection procedures. Since rank‐based procedures have desirable robustness properties compared to LS procedures, we propose a rank‐based adaptive lasso‐type penalised regression estimator and a corresponding variable selection procedure for linear regression models. The proposed estimator and variable selection procedure are robust against outliers in both response and predictor space. Furthermore, since rank regression can yield unstable estimators in the presence of multicollinearity, in order to provide inference that is robust against multicollinearity, we adjust the penalty term in the adaptive lasso function by incorporating the standard errors of the rank estimator. The theoretical properties of the proposed procedures are established and their performances are investigated by means of simulations. Finally, the estimator and variable selection procedure are applied to the Plasma Beta‐Carotene Level data set.     

Understanding the Followers of Toxic Leaders: Toxic Illusio and Personal Uncertainty

Toxic leaders are one of the main threats to the wellbeing of people in the workplace and in society in general, and followers play a critical role in constructing and maintaining toxic leaders. In this narrative review, we draw on Bourdieu's concept of illusio and incorporate it with the social and cognitive psychology approaches in an attempt to frame the dynamic system that sustains toxic leadership through continued support of the followers. More specifically, as we introduce the illusio perspective in a process‐relational context to the toxic leadership discussion, we (i) address the allure of toxic leaders as an incentive for followers to join the toxic illusio as a way to cope with their high personal uncertainty and (ii) illustrate the mechanisms and processes that motivate followers of toxic leaders to remain in the toxic illusio once they join. In this context, we also briefly discuss and differentiate between the ethical and moral dimensions of toxic leadership.     

The Comparison of Performances of Widely Used Cointegration Tests

The aim of this study is to compare performances of commonly cointegration tests used in literature in terms of their empirical power and type I error probabilty for various sample sizes. As a result of the study, it has been found that some tests are not appropriate in testing cointegration in terms of empirical power and type I error probability. As a result of simulation study, λ_max test for any values of ρ and sample sizes have been found most appropriate test in conclusion.     

Estimation of Population Variance from Multi-ranker Ranked Set Sampling Designs

In this article, we develop an estimator for a population variance based on a multi-ranker ranked set sampling design. In a multi-ranker design, the units are ranked by more than one ranker allowing ties whenever the confidence level of the rankers is low. The ranking information of all rankers is then combined in a meaningful way to create a single measure. This measure is used to construct the sampling design and a new estimator for the population variance. The article investigates the bias and relative efficiency of the proposed variance estimator. It is shown that the new estimator performs as good as or better than its competitors in the literature.     

A new heavy-tailed distribution defined on the bounded interval: the logit slash distribution and its application

This paper proposes a new heavy-tailed and alternative slash type distribution on a bounded interval via a relation of a slash random variable with respect to the standard logistic function to model the real data set with skewed and high kurtosis which includes the outlier observation. Some basic statistical properties of the newly defined distribution are studied. We derive the maximum likelihood, least-square, and weighted least-square estimations of its parameters. We assess the performance of the estimators of these estimation methods by the simulation study. Moreover, an application to real data demonstrates that the proposed distribution can provide a better fit than well-known bounded distributions in the literature when the skewed data set with high kurtosis contains the outlier observations.     

Inverse Dynamic Data Envelopment Analysis for Evaluating Faculties of University with Quasi-Fixed Inputs

Social Indicators Research - Like other organizations, universities must evaluate their performance to identify areas for improvement. Although the different aspects of a university are considered...     

International Transfer of Policies and Practices of Gender Equality in Employment to and among Muslim Majority Countries

This article investigates the premise that it is possible to transpose organizational approaches to equal employment opportunity (EEO) from western countries to Muslim majority countries (MMCs). Drawing on policy interviews and documentary evidence from public sector organizations and international development agencies engaged in the promotion of gender equality in Turkey and Pakistan, we question the effectiveness of diffusion of gender equality policies and practices to and among these two MMCs. Our investigation reveals the primacy of context over essence in developing effective ways to construct EEO policies and practices which can be adopted in MMCs.     

Correction to: Why perceived organizational and supervisory family support is important for organizations? Evidence from the field

Review of Managerial Science - Under Table 1, the explanation regarding the dummy variables that represent gender is reverse coded.     

Knowledge and opinions of families regarding games—Toy selection for 6 to 12 year old children (the case of Northern Cyprus)

Games and toys are irreplaceable basic needs of children of almost every age. They are also some of the most significant traces of culture. Some of our games and toys lost their original functions, and it is not remembered why they were functionally significant in Turkish Cypriot culture. Families and cultural identity also play a major role regarding different factors leading to changes in toy selection. The purpose of this study is to explore the knowledge and opinions of families regarding games and, in particular, toy selection for 6–12 year old children of Turkish Cypriot families. A survey was administered to 100 households in North Cyprus, and was used as a data collection tool. It was found that the most important factors in the selection of children’s games and toys were (1) the economic opportunities, and (2) children’s desires for toys after seeing them with their friends. A considerable number of families in Northern Cyprus see game-toy selection as important in a child’s social, psychomotor, mental, and cultural construction. Families, especially those living with difficulties, indicated that they cannot afford enough time to encourage playing traditional games. Although new versions of traditional games and toys are being developed and used, it is seen that educated and high-income families are more conscious about the importance of having information about them than others.     

A new generalized two-sided class of distributions with an emphasis on two-sided generalized normal distribution

The ordinary-G class of distributions is defined to have the cumulative distribution function (cdf) as the value of the cdf of the ordinary distribution F whose range is the unit interval at G, that is, F(G), and it generalizes the ordinary distribution. In this work, we consider the standard two-sided power distribution to define other classes like the beta-G and the Kumaraswamy-G classes. We extend the idea of two-sidedness to other ordinary distributions like normal. After studying the basic properties of the new class in general setting, we consider the two-sided generalized normal distribution with maximum likelihood estimation procedure.