Estimates for geographical domains through geoadditive models in presence of incomplete geographical information

The paper deals with the matter of producing geographical domains estimates for a variable with a spatial pattern in presence of incomplete information about the population units location. The spatial distribution of the study variable and its eventual relations with other covariates are modeled by a geoadditive regression. The use of such a model to produce model-based estimates for some geographical domains requires all the population units to be referenced at point locations, however typically the spatial coordinates are known only for the sampled units. An approach to treat the lack of geographical information for non-sampled units is suggested: it is proposed to impose a distribution on the spatial locations inside each domain. This is realized through a hierarchical Bayesian formulation of the geoadditive model in which a prior distribution on the spatial coordinates is defined. The performance of the proposed imputation approach is evaluated through various Markov Chain Monte Carlo experiments implemented under different scenarios.     

Selection of Predictors in Distance-Based Regression

Distance-based regression is a prediction method consisting of two steps: from distances between observations we obtain latent variables which, in turn, are the regressors in an ordinary least squares linear model. Distances are computed from actually observed predictors by means of a suitable dissimilarity function. Being generally nonlinearly related with the response, their selection by the usual F tests is unavailable. In this article, we propose a solution to this predictor selection problem by defining generalized test statistics and adapting a nonparametric bootstrap method to estimate their p-values. We include a numerical example with automobile insurance data.     

Punitive benefit sanctions,welfare conditionality,and the social abuse of unemployed people in Britain: Transforming claimants into offenders?

A defining feature of U.K. welfare reform since 2010 has been the concerted move towards greater compulsion and sanctioning, which has been interpreted by some social policy scholars as punitive and cruel. In this article, we borrow concepts from criminology and sociology to develop new interpretations of welfare conditionality. Based on data from a major Economic and Social Research Council-funded qualitative longitudinal study (2014–2019), we document the suffering that unemployed claimants experienced because of harsh conditionality. We find that punitive welfare conditionality often caused symbolic and material suffering and sometimes had life-threatening effects. We argue that a wide range of suffering induced by welfare conditionality can be understood as ‘social abuse’, including the demoralisation of the futile job-search treadwheel and the self-administered surveillance of the Universal Jobmatch panopticon. We identify a range of active claimant responses to state perpetrated harm, including acquiescence, adaptation, resistance, and disengagement. We conclude that punitive post-2010 unemployment correction can be seen as a reinvention of failed historic forms of punishment for offenders.     

Homophobic Bullying and Cyberbullying: Study of a Silenced Problem

Bullying and cyberbullying have been studied extensively. In lesbian, gay, bisexual, and questioning (LGBQ) students, these phenomena seem to be overrepresented so that, although they share some common elements, homophobic bullying and cyberbullying could be considered as specific phenomena. This study analyzed homophobic bullying and cyberbullying, with the participation of 533 Spanish secondary school students aged from 12 to 20 (M = 14.9, SD = 1.7). The results showed that students identified as non-heterosexual experienced a higher level of being targeted with bullying and cyberbullying, almost one half of them declaring that they had been victimized and more than 20% cybervictimized. Many stated they had suffered both kinds of harassment. In addition, the prevalence of all kinds of bullying was higher among non-heterosexual students. Regression analyses showed that sexual orientation could be considered a risk factor for suffering these aggressions. We discuss results in relation to previous research and look at their practical implications.     

There’s a cream for that: A textual analysis of beauty and body-related advertisements aimed at middle-aged women

This article explores the magazine advertising strategies and tactics used by health and beauty products to target middle-aged women. Advertisements found in the April 2013 issues of Shape, Fitness, and Women’s Health were analyzed using intersectionality to determine how these advertisements are presenting messages pertaining to age, gender, and sexuality and how these messages can “other” and marginalize certain identities. The findings suggest that advertisement strategies implement pseudoscience, heteronormativity, hegemonic beauty, and body ideals to establish an idealized version of middle-aged womanhood.     

Employment Decisions of Married Women: Evidence and Explanations

Aggregate evidence has revealed a significant increase in women’s labour market participation (especially among married women) and a decline in male participation, both in Italy and in all the other OECD countries. This paper empirically tests the relationship between the education and employment status of husbands and wives using the Bank of Italy Survey (1995). The results of our analysis show that employed women are likely to be married to employed men with a higher level of education and higher income. The estimates of the labour supply decisions of wives show that the effect of the unemployment status of husbands is mediated by other factors associated with the family’s view of wives working outside home. The response to a husband’s unemployment depends significantly on the employment decisions of parents (mothers and mothers‐in‐law), a proxy for the couple’s attitude towards women’s work.     

Modeling wind energy flux by a Birnbaum–Saunders distribution with an unknown shift parameter

In this paper, we discuss a Birnbaum–Saunders distribution with an unknown shift parameter and apply it to wind energy modeling. We describe structural aspects of this distribution including properties, moments, mode and hazard and shape analyses. We also discuss estimation, goodness of fit and diagnostic methods for this distribution. A computational implementation in R language of the obtained results is provided. Finally, we apply such results to two unpublished real wind speed data from Chile, which allows us to show the characteristics of this statistical distribution and to model wind energy flux.     

Fertility and Employment in Italy,France, and the UK

Abstract. According to the agenda for employment set by the European Union in 2000 for the following 10 years, the target for female employment was set at 60 per cent for the year 2010. Although Northern and most Continental countries have achieved this quantitative target, the Mediterranean countries are lagging behind. Labor market policies should be aimed to encourage women's participation and reduce the cost of working. However, the persistence of a negative relationship between participation and fertility in these countries implies that it is important to take fertility into account. We analyse a model of labor supply and fertility, using data from the European Community Household Panel (ECHP) for the period 1994–2000, merged with regional data describing the available labor market opportunities in the households’ environment.