The Richer, the Happier? An Empirical Investigation in Selected European Countries

This study analyses the relationship between subjective and objective measures of well-being in selected European countries using the data of the European Community Household Panel (ECHP). In the first part of the paper, we develop a random-effect ordered probit model, separately for each country, relating the subjective measure of income satisfaction to actual income, and controlling for some individual and household socio-demographic fixed effects. In the second part of the paper, we fit a Bayesian cross-classified multilevel model, in order to control for intra-family correlation in subjective well-being, which actually appears to be present. The research was financially supported by the Italian Ministry of University and Scientific Research and by the 5th European Research Programme (FELICIE – Future Elderly Living Conditions In Europe, No. QLRT-2001-02310, http://www.felicie.org). We gratefully acknowledge the contribution of an anonymous referee.     

The press and Alitalia's 2008 crisis: Issues, tones, and frames

Given that public opinion about a company's performance during a crisis is highly influenced by the way news media cover crisis events, studies that look at news media's choice of crisis issues, tones and frames are extremely valuable. This paper presents the main findings of a study on how the Italian and international press framed the Italian national airline Alitalia and its crisis in 2008 before its privatization. This study is based on content analysis of news articles published in 2008 in two Italian and two international newspapers. Comparisons of crisis issues, tones and frames between the Italian and international press are made. Implications and recommendations for crisis managers are discussed as well as directions for further research.     

Use of quantitative ultrasound as bone mineral density evaluation in an Italian female population living with HIV: A real-life experience

This is a multicenter cross-sectional study where we aimed to detect the rate of osteopenia/osteoporosis in an HIV female population (WLWHIV) by means of “heel quantitative ultrasound” (QUS) measurement. We enrolled 273 patients, mean age 48.1 years, 36% menopausal, 96% on combination antiretroviral therapy (cART). Calcaneal measure of bone mass index by QUS revealed osteopenia and osteoporosis in 76 (27.8%) and 16 (5.9%) WLWHIV. Our data underline the correlation between low QUS parameters and traditional risk factors for osteoporosis rather than with cART exposure, thus suggesting the crucial importance of detection and correction of traditional risk factors for osteoporosis in WLWHIV.     

Small-area estimation in the presence of area-level correlated responses

The Fay-Herriot area-level model for correlated response data is augmented with a between-groups-of-domains effect. Correlated-response parameters of small-area estimates no longer need the assumption of spatial contiguity. A simulation shows that area-level correlated-response observations increase the efficiency of the estimates, but do not reduce the biases.     

Evidence of the Face Inversion Effect in 4‐Month‐Old Infants

This study tested the presence of the face inversion effect in 4‐month‐old infants using habituation to criterion followed by a novelty preference paradigm. Results of Experiment 1 confirmed previous findings, showing that when 1 single photograph of a face is presented in the habituation phase and when infants are required to recognize the same photograph, no differences in recognition performance with upright and inverted faces are found. However, Experiment 2 showed that, when infants are habituated to a face shown in a variety of poses and are required to recognize a new pose of the same face, infants' recognition performances were higher for upright than for inverted faces. Overall, results indicate that, under some experimental conditions, 4‐month‐olds process faces differently according to whether faces are presented upright or inverted.     

Sense of Community in Adolescents from Two Different Territorial Contexts: The Moderating Role of Gender and Age

The role of structural characteristics of the residential context in influencing adolescents’ Sense of community (SoC) has received limited consideration in the literature. Aim of this study was to assess SoC in male and female adolescents living in two Italian provinces characterized by different positions on indicators of quality of life. The moderating role of adolescent gender and age group on SoC was also considered. The sample includes 1,182 adolescents: 46.2 % male and 53.8 % female. Age ranged from 16 to 22 years (M = 17.5; SD = 1.23). Findings indicate that levels of Sense of community differ between the two provinces and are higher among adolescents living in the more “advantaged” context (Rimini) based on quality of life objective indicators. Males score higher than females except in the more “advantaged” context, whereas girls experience greater opportunities for influence. SoC tends to decrease with age, as the context becomes increasingly insufficient for satisfying adolescents’ needs. Findings indicate that the context significantly affects adolescents’ SoC and that such effect is partly moderated by gender and age.     

Cross-validation methods in principal component analysis: A comparison

In principal component analysis (PCA), it is crucial to know how many principal components (PCs) should be retained in order to account for most of the data variability. A class of “objective” rules for finding this quantity is the class of cross-validation (CV) methods. In this work we compare three CV techniques showing how the performance of these methods depends on the covariance matrix structure. Finally we propose a rule for the choice of the “best” CV method and give an application to real data.     

Networks as mediating variables: a Bayesian latent space approach

Statistical Methods & Applications - The use of network analysis to investigate social structures has recently seen a rise due to the high availability of data and the numerous insights it can...     

The Dimensions of Agricultural Diversification: A Spatial Analysis of Italian Municipalities

Diversification in agriculture could ensure the survival of farming by broadening the income base of farms and encouraging agricultural sustainability. The diversification of on-farm activities may depend on socioeconomic and environmental characteristics. Although multifunctionality is a hotly debated topic, few papers have focused on the farm characteristics that influence diversification and none have focused on the influence of the spatial pattern. This paper examines the relationship between farm characteristics and the adoption of a specific type of diversification. An econometric model is presented that uses a spatial autoregressive lag model at the municipal scale. The results demonstrate that the activation of each diversification dimension is influenced by both internal and external factors, encompassing farmers’ characteristics, the farm structure, and territorial features, including regional and spatial patterns. Deepening is mainly influenced by the farmer’s age, education, and the presence of small and labor-intensive farms. The key factors for broadening diversification are the presence of small farms and farms with mixed production (breeding and crop cultivation). Regrounding is most affected by the labor-intensive farms in the area and the farms with mixed production.