What is Integration? A Comparative View from Immigrants and Municipal Policy

The ongoing project of citizenship construction in societies receiving international immigration demands a perspective that takes into account the interests, views and needs of all socio-demographic groups, including those of newcomers as potential new citizens. We interviewed representatives of 16 immigrant associations operating in the Spanish autonomous community of Galicia, reviewed immigration policy in 13 Spanish (Galician) municipalities, and interviewed 20 municipal government staff members who put these into practice. With this research, we aim to explore the perspectives of immigrants with respect to their own integration and to examine how these compare with local policies designed to facilitate these processes. By comparing the immigrant representatives' perceptions with local policy discourses and practice, our study reveals how local integration practice is not only inconsistent with its own policy discourse but also fails to consider and include immigrants' own understandings of what integration means and how it can be achieved.     

Dennis R. Young et al.: Economics for Nonprofit Managers and Social Entrepreneurs

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations -     

Racial/Ethnic Minority Community College Students' Critical Consciousness and Social Cognitive Career Outcomes

A need exists to better understand how racial/ethnic minority students' critical consciousness development in response to marginalization may be involved in their educational and career development. We therefore examined the link between critical consciousness development and career decision self-efficacy and career outcome expectations among racial/ethnic minority community college students. Following social cognitive career theory's conceptual pillars, we developed a testable model integrating critical consciousness and social cognitive variables. This model was tested with 135 racially and ethnically diverse community college students. Data analysis included path analyses and tests of model fit using structural equation modeling. Results suggested that (a) higher critical agency is linked to higher career decision self-efficacy and outcome expectations and (b) critical action and reflection have a bidirectional link and predict higher critical agency. Implications for research and practice aiming to close educational and career gaps among racial/ethnic minorities are discussed.     

Archival Work as Qualitative Sociology

Qualitative Sociology -     

Changement technologique et emploi au Brésil,en Colombie et au Mexique: quels sont les travailleurs les plus affectés?

L'analyse, axée sur les tâches, de la structure de l'emploi urbain du Brésil, de la Colombie et du Mexique montre que celui-ci a nettement diminué entre 2002 et 2015 dans des professions semi-qualifiées et augmenté dans les professions faiblement et fortement qualifiées. La décomposition des résultats suggère que le déclin de l'emploi des secrétaires et des sténographes s'explique entièrement par les changements intrabranche (hypothèse de «routinisation»), tandis que dans la conduite des machines et l'artisanat l'explication tient aux changements interbranches. Sous l'angle sociodémographique, le changement technologique affecte négativement les femmes, mais il profite aux travailleurs plus jeunes et plus instruits.     

Comparative Perspectives on Social Indicators

Social Indicators Research -     

Smoothed bootstrap bandwidth selection for nonparametric hazard rate estimation

A smoothed bootstrap method is presented for the purpose of bandwidth selection in nonparametric hazard rate estimation for iid data. In this context, two new bootstrap bandwidth selectors are established based on the exact expression of the bootstrap version of the mean integrated squared error of some approximations of the kernel hazard rate estimator. This is very useful since Monte Carlo approximation is no longer needed for the implementation of the two bootstrap selectors. A simulation study is carried out in order to show the empirical performance of the new bootstrap bandwidths and to compare them with other existing selectors. The methods are illustrated by applying them to a diabetes data set.     

Accurate computation of single and product moments of order statistics under progressive censoring

An accurate procedure is proposed to calculate approximate moments of progressive order statistics in the context of statistical inference for lifetime models. The study analyses the performance of power series expansion to approximate the moments for location and scale distributions with high precision and smaller deviations with respect to the exact values. A comparative analysis between exact and approximate methods is shown using some tables and figures. The different approximations are applied in two situations. First, we consider the problem of computing the large sample variance–covariance matrix of maximum likelihood estimators. We also use the approximations to obtain progressively censored sampling plans for log-normal distributed data. These problems illustrate that the presented procedure is highly useful to compute the moments with precision for numerous censoring patterns and, in many cases, is the only valid method because the exact calculation may not be applicable.     

Efficient Bayesian inference in generalized inverse gamma processes for stochastic volatility

This paper develops a novel and efficient algorithm for Bayesian inference in inverse Gamma stochastic volatility models. It is shown that by conditioning on auxiliary variables, it is possible to sample all the volatilities jointly directly from their posterior conditional density, using simple and easy to draw from distributions. Furthermore, this paper develops a generalized inverse gamma process with more flexible tails in the distribution of volatilities, which still allows for simple and efficient calculations. Using several macroeconomic and financial datasets, it is shown that the inverse gamma and generalized inverse gamma processes can greatly outperform the commonly used log normal volatility processes with Student’s t errors or jumps in the mean equation.