Asymptotic Properties and Variance Estimators of the M-quantile Regression Coefficients Estimators

M-quantile regression is defined as a “quantile-like” generalization of robust regression based on influence functions. This article outlines asymptotic properties for the M-quantile regression coefficients estimators in the case of i.i.d. data with stochastic regressors, paying attention to adjustments due to the first-step scale estimation. A variance estimator of the M-quantile regression coefficients based on the sandwich approach is proposed. Empirical results show that this estimator appears to perform well under different simulated scenarios. The sandwich estimator is applied in the small area estimation context for the estimation of the mean squared error of an estimator for the small area means. The results obtained improve previous findings, especially in the case of heteroskedastic data.     

Readiness for practice: social work students' perspectives in England,Italy, and Sweden

The aim of this article is to present the views of social work students from three different welfare regimes—Italy, Sweden, and England—and to analyze in what way at the end of their training they feel ready to practice. Primarily, it considers the findings of a comparative pilot study conducted in the three countries. Specifically, the paper initially offers general comments on the European context of standards of social work competence and how these impact on the countries involved here. It then briefly discusses the three different welfare regimes that these countries reflect. Social work education is then given some consideration, including reflection on similarities and differences in each curriculum. We then review examples of previous research on students' readiness to practice, also referencing models of competence previously developed. After this we look in detail at the research study itself, with a short discussion of its methodological—primarily phenomenological—approach and modest scope, before we consider tentative findings in relation to the themes of theory, practice, and personal growth. The paper concludes with reflections on levels of competence attained and how the research might best be extended.     

Dummy Endogenous Variables in Weakly Separable Models

In this paper, we consider the nonparametric identification and estimation of the average effect of a dummy endogenous regressor in models where the regressors are weakly but not additively separable from the error term. The model is not required to be strictly increasing in the error term, and the class of models considered includes limited dependent variable models such as discrete choice models. Conditions are established conditions under which it is possible to identify the average effect of the dummy endogenous regressor in a weakly separable model without relying on parametric functional form or distributional assumptions and without the use of large support conditions.     

The Use of Risk Assessment to Decide the Control Strategy for Bluetongue in Italian Ruminant Populations

The affiliation, assessment and management of risks is a traditional part of veterinary medicine. In the past, veterinary services involved in this type of activity usually assessed risks qualitatively. However, since the 1990s, quantitative methods have become increasingly important. The establishment of the World Trade Organization in 1994, and the promulgation of its Agreement on the Application of Sanitary and Phytosanitary Measures (the "SPS Agreement") led to an increased application of import risk analysis and to significant improvements in the methodology of risk analysis as applied to international trade policy for animals and animal products. However, there was very little development of risk analysis in veterinary fields other than international trade and management of health risks to consumers of animal products and little has been published on its use in the choice and definition of control or prophylaxis strategies for animal diseases. This article describes a quantitative risk assessment, which was undertaken in Italy to help choose an appropriate national response strategy following an incursion of bluetongue, an infectious disease of sheep and goats. The results obtained in this study support the use of risk analysis as a tool to assist in choosing an appropriate animal disease management strategy. The use of risk analysis in the evaluation of disease management strategies also offers advantages in international trade. It makes easier the comparison of different strategies applied in the various countries, and thus facilitates the assessment of equivalence of the guarantees provided by different strategies.     

Financial literacy and retirement planning in the Netherlands

The complexity of financial decisions that households now face has increased to unprecedented levels. At the same time, households seem to lack the financial knowledge to cope with these decisions, including how to save and invest adequately for retirement. In this paper, we examine the relationship between financial knowledge and retirement planning in the Netherlands. For this purpose, we have designed a module on financial literacy and planning for the De Nederlandsche Bank (DNB) Household Survey. We find a strong and positive relationship between financial knowledge and retirement planning; those who are more financially knowledgeable are more likely to plan for retirement. Using information on economics education acquired in school, we show that the nexus of causality goes from financial literacy to planning rather than the other way around.     

Individual Preferences and Job Characteristics: An Analysis of Cooperative Credit Banks

The aim of this paper is to analyse individual preferences in relation to different job characteristics. More specifically, this work focuses on the case of employees of cooperative credit banks (CCBs) in Campania and accounts for certain fundamental institutional features: CCBs are designed to pursue specific member interests rather than profit maximization, and most employees are both owners and consumers. The research is conducted by applying a conjoint analysis approach with stated preference data. Novel features of the analysis include the application of this approach to empirical research on worker incentives and the use of a mixed logit model.     

Measurement Invariance of Ryff’s Psychological Well-being Scales Across Italian and Belarusian Students

Cross-cultural researches on the Ryff’s Psychological Well-being (PWB) Scales are currently not available. The aim of the paper was to investigate the measurement invariance of the 18-item version of the PWB Scales across 1,114 high school and undergraduate Italian and Belarusian students. After identifying the six correlated first-order factors and one second-order factor model of the Ryff’s PWB Scales, as baseline model for each sample, multi-groups confirmatory factor analyses were subsequently performed. All analyses were performed using the Robust Diagonally Weighted Least Squares estimation procedures, entering a polychoric correlation matrix. Multi-groups analyses showed that factor structure of the preferred model did not change across the Italian and Belarusian samples. Although the obtained results provided a preliminary support for cross-cultural structural invariance of the PWB Scales, further investigations are required to ensure its generalizability and applicability. Limitations and suggestions for future researches as well as psychosocial applications for educational context were discussed.