Changing the method of working with homeless people: a photovoice project in Italy

In Italy, many organizations are experimenting with the Housing First (HF) model to promote a change in how they work with homeless people. This change creates some difficulties, especially in promoting freedom of choice in people involved in the HF programs. This study explored the definition of “home” in homeless people’s points of view. The study participants were 5 homeless men involved in a HF program called “The Road Home” implemented in the city of Padua. Data were collected using Photovoice, a photographic method based on participatory action research. During the project, the participants took photographs to illustrate their definitions of “home” and then engaged in a critical dialogue about the images represented in the photographs. The results of the study showed that occupants identified the home as being related to family, friendship, cohabitation, and hope for the future. The Photovoice project provided an opportunity to promote discussions that revealed the true needs of the people involved, and in the meantime, it brought a change to the program and to the community, in addition to promoting the HF model in the community.     

Protest Camps and Repertoires of Contention

Protest camps have become a prominent feature of the post-2010 cycle of social movements and while they have gripped the public and media's imagination, the phenomenon of protest camping is not new. The practice and performance of creating protest camps has a rich history, which has evolved through multiple movements, from Anti-Apartheid to Anti-war. However, until recently, the history of the protest camp as part of the repertoire of social movements and as a site for the evolution of a social movement's repertoire has largely been confined to the histories of individual movements. Consequently, connections between movements, between camps and the significance of the protest camp itself have been overlooked. In this research profile, we argue for the importance of studying protest camps in relation to social movements and the evolution of repertoires noting how protest camps adapt infrastructures and practices from tent cities, festival cultures, squatting communities and land-based autonomous movements. We also acknowledge protest camps as key sites in which a variety of repertoires of contention are developed, tried and tested, diffused or sometimes dismissed. To facilitate the study protest camps we suggest a theory and practice of ‘infrastructural analysis’ and differentiated between four protest camp infrastructures: (1) media & communication, (2) action, (3) governance and (4) re-creation. We then use the infrastructures of media and communications as a brief example as to how our proposed infrastructural analysis can contribute to the study of repertoires and our understanding of the rich dynamics of a protest camp.     

Penalized likelihood and Bayesian function selection in regression models

Challenging research in various fields has driven a wide range of methodological advances in variable selection for regression models with high-dimensional predictors. In comparison, selection of nonlinear functions in models with additive predictors has been considered only more recently. Several competing suggestions have been developed at about the same time and often do not refer to each other. This article provides a state-of-the-art review on function selection, focusing on penalized likelihood and Bayesian concepts, relating various approaches to each other in a unified framework. In an empirical comparison, also including boosting, we evaluate several methods through applications to simulated and real data, thereby providing some guidance on their performance in practice.     

Using Entropic Tilting to Combine BVAR Forecasts With External Nowcasts

This article shows entropic tilting to be a flexible and powerful tool for combining medium-term forecasts from BVARs with short-term forecasts from other sources (nowcasts from either surveys or other models). Tilting systematically improves the accuracy of both point and density forecasts, and tilting the BVAR forecasts based on nowcast means and variances yields slightly greater gains in density accuracy than does just tilting based on the nowcast means. Hence, entropic tilting can offer—more so for persistent variables than not-persistent variables—some benefits for accurately estimating the uncertainty of multi-step forecasts that incorporate nowcast information.     

Three Bartlett-type corrections for score statistics in symmetric nonlinear regression models

We present simple matrix formulae for corrected score statistics in symmetric nonlinear regression models. The corrected score statistics follow more closely a χ ² distribution than the classical score statistic. Our simulation results indicate that the corrected score tests display smaller size distortions than the original score test. We also compare the sizes and the powers of the corrected score tests with bootstrap-based score tests.     

A modified signed likelihood ratio test in elliptical structural models

In this paper we deal with the issue of performing accurate testing inference on a scalar parameter of interest in structural errors-in-variables models. The error terms are allowed to follow a multivariate distribution in the class of the elliptical distributions, which has the multivariate normal distribution as special case. We derive a modified signed likelihood ratio statistic that follows a standard normal distribution with a high degree of accuracy. Our Monte Carlo results show that the modified test is much less size distorted than its unmodified counterpart. An application is presented.     

Information,reflection, and successful job search: A labor market policy experiment

Jobseekers, especially young people with little experience on the job market, face several challenges. They need to know which jobs are suited for them, where to find them, how to apply, and they need resilience in the face of repeated rejections. Previous research has shown that receiving information and reflecting on how to search for a job enhance self-efficacy and search motivation, thereby reducing the duration of unemployment spells. Following up on these results, we conducted an experiment in cooperation with the Austrian Ministry of Social Affairs which combines an “information nudge” in the form of a short video-clip with what we call “reflection nudge” in the form of an online survey. We find that a treatment combining reflection and information reduces job search duration of young unemployed people with a low level of formal education. Considering the low costs of the intervention, efficiency is very high.     

Contenir le marché : la transition de la criée à la cotation électronique à la Bourse de Paris

Open outcry was fully replaced at the Paris Bourse by an automated trade execution system (CAC) in the late 1980s. In this article, we focus on the circumstances that made this transition possible. We analyze the diverse compromises (both social and technical) that the officials and engineers in charge of the innovation process constructed in order to stabilize the new market device. They had to carefully inscribe into the new system the interests of the actors at stake: bankers and stockbrokers. This case study contributes to economic sociology by drawing a relation between a technical device and the interests set around the “modernization” of a market.     

A Two-Step Approach to Analyze Satisfaction Data

In this paper a two-step procedure based on Nonlinear Principal Component Analysis (NLPCA) and Multilevel models (MLM) for the analysis of satisfaction data is proposed. The basic hypothesis is that observed ordinal variables describe different aspects of a latent continuous variable, which depends on covariates connected with individual and contextual features. NLPCA is used to measure the level of a latent variable and MLM is adopted for detecting individual and environmental determinants of the level. This approach is suggested to analyze users’ satisfaction. In fact, NLPCA is used to create a synthetic continuous measure of satisfaction (first step) and MLM are used to detect the role of external (individual or environmental) variables that can affect the level itself (second step). The proposed two-step procedure is applied to the Eurobarometer survey data about opinion of European citizens on services of general interest (SGI) aiming to evaluate and compare the opinion about SGI in different countries. The focus is on overall level of satisfaction about four major public services: fixed telephone, electricity supply, postal and rail services. The item analyzed, which are named manifest variables, are: access easiness, price, quality, information clarity and contract fairness, as reported in the 2002 Eurobarometer survey. In the first step these variables are used to set up the synthetic indicator (the overall level) of satisfaction and, in the second step, a MLM is used to test the impact of some explanatory variables on this satisfaction.