These findings may help, on the one hand, in assessing the economy of a given country and taking an economic and technical measures for its strengthening for policymakers, and on the other hand, in comparing and assessing the country-specific economy for organizations or scholars in a new perspective.We investigate factors affecting the job search channels (newspapers, agency, informal network, direct contact, internet) of unemployed individuals in Italy using a multivariate probit model. We separately analyse unemployed individuals who lost their job or who are entering the labour market for the first time (i.e., with or without previous job experience, respectively). We use cross-sectional microdata covering the 2014-2018 period. https://www.selleckchem.com/products/gusacitinib.html We do not find important differences in the determinants in common between unemployed individuals with and without previous job experience (such as, age, education, and citizenship). The main difference between the two samples is in the composition, with more young people in the latter group (mainly individuals in the school-to-work transition) than in the first one. We find that better-educated unemployed people have more of a multichannel attitude when searching for jobs than their counterparts. Moreover, for unemployed individuals with previous job experience, the characteristics of their last job play a crucial role in influencing the choice of search channel(s). For example, unemployed individuals from high-skilled professions (that typically require the employment of better-educated individuals) choose the internet with a higher probability than other channels, while those from low-skilled professions and with experience in manufacturing have a higher probability of considering employment agencies than those in qualified professions in commercial activities and services. We have assumed that the unobservable factors affecting the decision process of a multichannel job search (estimated through the pairwise correlation coefficients across the residuals of the models) are represented by personality features of an individual, such as motivation, self-control, and preferences. A strong, positive, and significant correlation is found between job searching through the internet and direct contact with firms, but with some spatial differences between macro-areas of the country.Using the Panel of Social Inequalities in Catalonia, Spain (PaD 2001-2012), this article investigates the relationship between perceptions of economic conditions and subjective well-being in times of prosperity and economic crisis. It also analyses how this relationship plays out across different social backgrounds. Periods of economic crisis and prosperity serve as a proxy for objective macroeconomic conditions. The Spanish region of Catalonia is a relevant setting because it faced one of the highest increases in inequality and unemployment in Europe as a result of the 2008 Economic Crisis. Our results show that perceived economic conditions matter beyond objective micro and macroeconomic realm and become a strong determinant of subjective well-being during a crisis, particularly for the middle class. However, contrary to our initial expectations, our results also show the existence of a close correlation between perceptions of economic conditions and subjective well-being for low social background individuals in times of economic prosperity, and an even stronger relationship in times of economic crisis. The article stipulates several potential explanations for these results.In the last ten years, interest in social capital as a mechanism for understanding actual and perceived health has been increasing among economists. Although the pathways by which social participation, as a dimension of social capital, may have a positive effect on health seem clearly identified, empirical evidence is mixed because the lack of longitudinal data makes it difficult to deal with individual heterogeneity. Our study investigates the relationship between social participation (as measured by being a member, active, or both a member and active) in associations and self-rated health in a panel setting, using the first five waves of the British Household Panel Survey from 1991 to 1995 (unbalanced panel N = 45,745). To take into account heterogeneity, we implement three different kinds of estimations for fixed effects, two have been largely used in the literature and one method was recently proposed by Baetschmann et al. (J R Stat Soc Ser A 178 685-703, 2015). We find positive effects but weak significance for active membership. When we control for reverse causality, using lagged independent variables and membership in specific organizations, we obtain more detailed and in some cases significant results.Food insecurity is the limited or uncertain availability of nutritionally adequate and safe foods or limited or uncertain ability to acquire foods in socially acceptable ways. The study presents a comparison of the principal determinants of individual food insecurity in Europe and other Continents, with particular regard to gender, since the literature clearly states the importance of women in the administration of food in the household. The study of gender related differences in food insecurity is particularly important in Europe, since women experience food insecurity at a larger extent than men, but with a variability related to the geographical distribution and with complex relationships with economic and social drivers. Using a large international sample of individual level data, that allows the analysis for developed Countries for the first time, and the first experiential measure of food insecurity comparable at the global level, the paper analyses the principal determinants of gender differences in food insecurity. In order to verify if women's vulnerability in food insecurity is moderated by specific factors, the modelling approach allows gender to vary by education, poverty, place of residence. The results suggest that the driver that could most mitigate women disadvantage is education people with a university degree present a lower probability of experiencing food insecurity, both for men and for women. On the contrary, familial characteristics, such as the number of children in the household, present a higher impact on women's food insecurity than on men's.