Are there electoral cycles of emigration? An empirical investigation based on European data

Economic literature suggests that economic factors and the availability of amenities act as determinants of migration choices together with socio‐demographic factors. Migration has also been found to be the consequence of political instability. This article argues that specific political events, i.e., democratic elections, may be linked to migration flows. By using European data over the 1999‐2012 time period, our system GMM estimations reveal that there is an emigration political cycle across European democracies and across the young democracies of Central and Eastern European countries. We observe that regular elections tend to diminish emigration ratios, whereas endogenous elections have the opposite effect. These results suggest special challenges for governments and oppositions, which are also discussed.     

An Assertiveness Training Program for Indecisive Students Attending an Italian University

Indecisive students often present with social skills problems, which may make academic and vocational decision‐making tasks difficult and complex for them. Moreover, choices regarding one's future require the ability to gather information, to search for help and support, to stave off intrusiveness and pressures, and to communicate one's decisions. Social competencies, particularly, play a significant role in vocational guidance activities. This article presents a training program devised to augment assertive competencies in indecisive students choosing a university course of study. Intended aims and the analyses to assess the efficacy of the intervention through self‐evaluation and role‐play assessment are described.     

Extreme ranking analysis in robust ordinal regression

We extend the principle of robust ordinal regression with an analysis of extreme ranking results. In our proposal, we consider the whole set of instances of a preference model that is compatible with preference information provided by the DM. We refer to both, the well-known UTA^GMS method, which builds the set of general additive value functions compatible with DM's preferences, and newly introduced in this paper PROMETHEE^GKS, which constructs the set of compatible outranking models via robust ordinal regression. Then, we consider all complete rankings that follow the use of the compatible preference models, and we determine the best and the worst attained ranks for each alternative. In this way, we are able to assess its position in an overall ranking, and not only in terms of pairwise comparisons, as it is the case in original robust ordinal regression methods. Additionally, we analyze the ranges of possible comprehensive scores (values or net outranking flows). We also discuss extensions of the presented approach on other multiple criteria problems than ranking. Finally, we show how the presented methodology can be applied in practical decision support, reporting results of three illustrative studies.     

The minimum of the expected value of the product of three random variables in the Fréchet class

Summary In this paper the minimum of the expected value of the product of three random variables is studied as their joint distribution function varies in the Fréchet class associated to the three given marginal distribution functions. The general problem is studied for three positive valued random variables and a lower bound for the minimum is provided. The case of three uniformly distributed random variables in [0, 1] is analyzed in more detail and an upper bound for the minimum is given. The Author conjectures that the distribution correspondent to the upper bound is a solution of the problem. Paper written with the contribution of MURST (funds 40%).     

Standardized Income Inequality Data for Use in Cross-National Research

This article introduces the first version of a new, standardized data tool that can be used to test models of global income allocation, the Standardized Income Distribution Database (SIDD). It is based on a comprehensive collection of income distribution data compiled by the United Nations University's World Institute for Development Economics Research (UNU-WIDER 2000 ). International and intertemporal inconsistencies in these data have historically limited its use. We estimate adjustment factors for different scopes of coverage, income definitions, and reference units which, when applied to the raw data, bring all data to a common standard based on national coverage, gross income, and household per capita inequality. Criterion validity checks confirm that these adjustments boost the correlation between measured income inequality and national social indicators. The SIDD is also clean, free of duplicates, and easy to access. The SIDD will be useful both to students reading income inequality and to those conducting broad cross-national research on the relationship between income inequality and a range of important outcomes, such as health, criminality, and social support.     

Sexual Prejudice in Sport Scale: A New Measure

ABSTRACT

This study describes the process of developing and validating the Sexual Prejudice in Sport Scale (SPSS), which is a multidimensional instrument developed to assess attitudes toward lesbians and gay men (LG) in sports. The authors conducted two studies: first, to establish the factor structure of the SPSS on 297 heterosexual athletes; and, second, to test the reliability and validity of the resulting 19-item scale on a sample of 311 heterosexual and 160 LG athletes. Exploratory factor analysis of an initial item pool yielded three factors: open rejection, which assesses the blatant prejudice expressed toward LG people; denial of visibility, which evaluates attitude toward the coming out of LG people; and gendering performance, which corresponds to gender stereotypes about performance/skills of LG people. A confirmatory factor analysis was conducted to assess the stability of the SPSS. The authors documented internal consistency, test-retest stability, and convergent/divergent validity. Implications and directions for future research are discussed.     

Measuring residential segregation in multi-ethnic and unequal European cities

Immigration flows and social inequalities reflect increased social and multi-ethnic segregation in contemporary urban Europe. For a better understanding of these processes, the present study investigates the main strengths of the multi-group residential indices, testing sensitivity and reliability under different metropolitan contexts in five European countries. These indices focus on different research dimensions and approach multi-group residential segregation conceptually and mathematically in a different way. A multivariate exploratory data analysis was adopted to classify the observed segregation patterns into a few homogeneous types and to delineate the multivariate relationship between the indices. The results of principal component analysis demonstrate that the indices assessing uniformity and disproportionality of the social groups analysed (H and D) contribute largely to the diversification in today's multi-ethnic communities, clarifying the importance of the dimension of evenness. Our results highlight how segregation is more evident in economically disadvantaged metropolitan regions with high levels of social vulnerability.