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.     

Social Relations Model Analyses of Perceived Self‐Control and Trust in Families

How do people know which family member is trustworthy? In this study, the authors tested the hypothesis that people use their perception of a family member's self‐control as an indicator of his or her trustworthiness. Eighty‐four Dutch families consisting of 2 parents and 2 children completed questionnaires assessing each family member's trust in and perceived self‐control of the other 3 family members. This full‐family design enabled the authors to examine their hypothesis in horizontal relationships, between family members of equal status (i.e., parent–parent and sibling–sibling relationships), and vertical relationships, in which partners have unequal status (i.e., parent–child and child–parent relationships). Consistent with the hypothesis, Social Relations Model analyses showed that being perceived as having higher self‐control is related to greater trustworthiness among adults and children in the large majority of horizontal and vertical relationships (10 out of 12). These findings highlight that perceived self‐control is an important factor by which to gauge trustworthiness in families.     

The Network Origins of Aggregate Fluctuations

This paper argues that, in the presence of intersectoral input–output linkages, microeconomic idiosyncratic shocks may lead to aggregate fluctuations. We show that, as the economy becomes more disaggregated, the rate at which aggregate volatility decays is determined by the structure of the network capturing such linkages. Our main results provide a characterization of this relationship in terms of the importance of different sectors as suppliers to their immediate customers, as well as their role as indirect suppliers to chains of downstream sectors. Such higher‐order interconnections capture the possibility of “cascade effects” whereby productivity shocks to a sector propagate not only to its immediate downstream customers, but also to the rest of the economy. Our results highlight that sizable aggregate volatility is obtained from sectoral idiosyncratic shocks only if there exists significant asymmetry in the roles that sectors play as suppliers to others, and that the “sparseness” of the input–output matrix is unrelated to the nature of aggregate fluctuations.     

Environmental effects on affect: Density,noise and personality

Approximation of molar crowding found in urban centers was studied by using a 2 × 2 × 2 × 2 factorial design. The study involved the simultaneous variation of social density, spatial density, noise, and personality as they affect room affect (physical and psychological). Subjects were 88 undergraduate males pre-tested on the Rotter I-E scale. Other measures used were Marshall's Privacy Preference and Noise Tolerance scales. A scale of Perceptions of the Room was also administered. Results showed main effects of locus of control and spatial density on overall room affect. A Noise × Density interaction approached significance with respect to physical room affect. A main effect of spatial density on physical room affect was also found. Psychological room affect was influenced by spatial density. Theoretical explanations of the results are discussed in terms of dissonance theory, Altman's Social Interaction Model, and the authors' extension of the Worchel and Teddlie two-step model of crowding. It is suggested that introduction of the concept of "appropriate" or "dissonant" space might explain these results and add to our understanding of crowding.Reprint requests should be directed to Ms. Bharucha-Reid.     

Disability and Household Welfare in Ghana: Costs and Correlates

Journal of Family and Economic Issues - Persons with disabilities face substantial barriers that impede their integration and participation in social and economic activities. Households with...     

Outlier Resistant Estimation in Difference-Based Semiparametric Partially Linear Models

Partially linear models are extensions of linear models that include a nonparametric function of some covariate allowing an adequate and more flexible handling of explanatory variables than in linear models. The difference-based estimation in partially linear models is an approach designed to estimate parametric component by using the ordinary least squares estimator after removing the nonparametric component from the model by differencing. However, it is known that least squares estimates do not provide useful information for the majority of data when the error distribution is not normal, particularly when the errors are heavy-tailed and when outliers are present in the dataset. This paper aims to find an outlier-resistant fit that represents the information in the majority of the data by robustly estimating the parametric and the nonparametric components of the partially linear model. Simulations and a real data example are used to illustrate the feasibility of the proposed methodology and to compare it with the classical difference-based estimator when outliers exist.     

Rank-based ridge estimation in multiple linear regression

Multicollinearity and model misspecification are frequently encountered problems in practice that produce undesirable effects on classical ordinary least squares (OLS) regression estimator. The ridge regression estimator is an important tool to reduce the effects of multicollinearity, but it is still sensitive to a model misspecification of error distribution. Although rank-based statistical inference has desirable robustness properties compared to the OLS procedures, it can be unstable in the presence of multicollinearity. This paper introduces a rank regression estimator for regression parameters and develops tests for general linear hypotheses in a multiple linear regression model. The proposed estimator and the tests have desirable robustness features against the multicollinearity and model misspecification of error distribution. Asymptotic behaviours of the proposed estimator and the test statistics are investigated. Real and simulated data sets are used to demonstrate the feasibility and the performance of the estimator and the tests.     

Philanthropists,Professionals and Feminists: Refugee NGOs and the Empowerment of Syrian Women in Gaziantep,Turkey

The diversification of gender‐based priorities and the necessities of refugees have led refugee NGOs to launch activities specifically for women, or urged women‐only NGOs to take action particularly for refugee women in Turkey. Drawing upon a qualitative research in Gaziantep in Turkey, which host a large population of Syrian refugees, this study seeks to answer the question “How effective are NGOs in empowering Syrian refugee women in Turkey?” It is argued that NGOs working in the provision of assistance to refugees cannot be treated as a homogeneous group in terms of the degree and form of their influences on the empowerment of refugee women, and the individual NGO’s standpoints may shape their effects. Data from interviews with NGO representatives and Syrian women who have received support from NGOs indicate that the NGOs’ perceptions of women’s issues and their contribution to the empowerment of women are closely linked to their type.