The main purpose of this paper is to investigate the role of social and emotional learning (SEL) skills and resilience in explaining mental health in male and female adolescents, during the COVID-19 pandemic. Three self-report questionnaires were administered to 778 participants aged between 11 and 16 years (mean age = 12.73 years; SD = 1.73) and recruited from 18 schools in Northern Italy. The SSIS-SELb-S and the CD-RISC 10 assessed SEL and resilience skills respectively, while the Strengths and Difficulties Questionnaire (SDQ) was used to measure mental health in terms of internalizing problems, externalizing problems, and prosocial behavior. We found that SEL and resilience skills were positively and significantly associated with each other, negatively associated with internalizing and externalizing problems, and positively related to prosocial behavior. Three linear regression analyses showed the significant role of resilience, age, and gender in explaining the variance of internalizing problems; the significant role of SEL skills, resilience, age, and gender in explaining the variance of externalizing problems; and the role of SEL skills, age, and gender in explaining prosocial behavior. Importantly, we found that resilience fully mediated the relationship between SEL skills and internalizing problems, partially mediated the relationship between SEL skills and externalizing problems and didn't mediate the relationship between SEL skills and prosocial behavior. The paper concludes with a discussion of the limitations of the study as well as its practical implications.

In a panel data model with fixed effects, possible cross-sectional dependence is investigated in a spatial autoregressive setting. An Edgeworth expansion is developed for the maximum likelihood estimate of the spatial correlation coefficient. The expansion is used to develop more accurate interval estimates for the coefficient, and tests for cross-sectional independence that have better size properties, than corresponding rules of statistical inference based on first order asymptotic theory. Comparisons of finite sample performance are carried out using Monte Carlo simulations.JEL Classifications: C12, C21, C31

Ordinary least squares (OLS) is well known to produce an inconsistent estimator of the spatial parameter in pure spatial autoregression (SAR). This paper explores the potential of indirect inference to correct the inconsistency of OLS. Under broad conditions, it is shown that indirect inference (II) based on OLS produces consistent and asymptotically normal estimates in pure SAR regression. The II estimator used here is robust to departures from normal disturbances and is computationally straightforward compared with quasi maximum likelihood (QML). Monte Carlo experiments based on various specifications of the weight matrix show that: (i) the indirect inference estimator displays little bias even in very small samples and gives overall performance that is comparable to the QML while raising variance in some cases; (ii) indirect inference applied to QML also enjoys good finite sample properties; and (iii) indirect inference shows robust performance in the presence of heavy tailed error distributions.

We recently showed that mRNA levels coding the high-affinity Fc gamma receptor for IgG (Fc gamma R-I, CD64) and two of the components of the phagocytic superoxide anion-generating system--the heavy-chain subunit of cytochrome b558 (gp91-phox) and the 47-Kd cytosolic factor (p47- phox)--are modulated by interferon gamma (IFN-gamma). In this study, we examined whether dexamethasone (DEX) affects gp91-phox and p47-phox mRNA expression of human polymorphonuclear leukocytes (PMN), treated or not with IFN-gamma. We also investigated whether staurosporine, a general inhibitor of protein kinases, influences gp91-phox, p47-phox, and Fc gamma R-I gene expression in PMN treated with or without IFN- gamma. We found that (1) gp91-phox mRNA steady-state levels, expressed in control or IFN-gamma-treated PMN, were significantly inhibited, in a dose-dependent fashion, by both DEX and staurosporine; (2) p47-phox mRNA steady-state levels, expressed in control or IFN-gamma-treated PMN, were not influenced by DEX, but were markedly depressed by staurosporine; (3) no changes of spectrophotometric cytochrome b558 were found in PMN treated for up to 20 hours with the inhibitors, regardless of the presence of IFN-gamma; (4) both DEX and staurosporine dose-dependently inhibited IFN-gamma-induced Fc gamma R-I mRNA and protein expression; and (5) stability of gp91-phox and Fc gamma R-I messages in IFN-gamma-treated PMN was not altered by the presence of DEX. Our results demonstrate that gp91-phox, p47-phox, and Fc gamma R-I gene expression of PMN is governed by specific and independent biochemical pathways. Moreover, IFN-gamma activates different signal transduction pathways to modulate mRNA expression of gp91-phox, p47- phox, and Fc gamma R-I.