Therapeutic Assessment with Children in Family Therapy

Therapeutic Assessment with Children (TA‐C) is a brief semi‐structured intervention in which psychological assessment is used to help families with children and adolescents to change. In this paper we introduce the TA‐C model, describe its semi‐structured format and exemplify how it can be applied by family therapists.     

A stress–strength model with dependent variables to measure household financial fragility

The paper is inspired by the stress?Cstrength models in the reliability literature, in which given the strength (Y) and the stress (X) of a component, its reliability is measured by P(X < Y). In this literature, X and Y are typically modeled as independent. Since in many applications such an assumption might not be realistic, we propose a copula approach in order to take into account the dependence between X and Y. We then apply a copula-based approach to the measurement of household financial fragility. Specifically, we define as financially fragile those households whose yearly consumption (X) is higher than income (Y), so that P(X > Y) is the measure of interest and X and Y are clearly not independent. Modeling income and consumption as non-identically Dagum distributed variables and their dependence by a Frank copula, we show that the proposed method improves the estimation of household financial fragility. Using data from the 2008 wave of the Bank of Italy??s Survey on Household Income and Wealth we point out that neglecting the existing dependence in fact overestimates the actual household fragility.     

Loss aversion leading to advantageous selection

Some insurance markets are characterized by “advantageous selection”, that is, ex-post risk and coverage are negatively correlated. We show that expectation-based loss aversion as in K?szegi and Rabin (Quarterly Journal of Economics, 121(4), 1133–1165, 2006; The American Economic Review, 97(4), 1047–1073, 2007) provides a natural explanation for this phenomenon in environments in which risk aversion models do not, e.g., when agents face modest-scale risks and/or in absence of moral hazard. More exposure to risk has two competing effects on an agent’s willingness to pay for insurance: a positive effect, as in standard expected utility models; and a negative one, due to a reference effect. We determine conditions under which an insurance provider optimally sets a high price at which only low risk agents buy.     

Behavioural Addictions in Adolescents and Young Adults: Results from a Prevalence Study

Our study aims to assess the prevalence of behavioural addictions in an adolescent population, evaluating the effects of gender and age, and to assess the correlations among different behavioural addictions. 2853 high school students were assessed in order to evaluate the prevalence of behavioural addictions such as Pathological Gambling (PG), Compulsive Buying (CB), Exercise Addiction (EA), Internet Addiction (IA), and Work Addiction (WA), in a population of Italian adolescents. The South Oaks Gambling Screen-Revised Adolescent (SOGS-RA), the Compulsive Buying Scale (CBS), the Exercise Addiction Inventory (EAI), the Internet Addiction Test (IAT), and the Work Addiction Risk Test (WART), were compiled anonymously by the students. Overall prevalence was 7.0% for PG, 11.3% for CB, 1.2% for IA, 7.6% for WA, 8.5% for EA. PG and EA were more common among boys, while gender had no effect on the other conditions. CB was more common among younger (<18 years old) students. The scores of all of these scales were significantly correlated. The strong correlation among different addictive behaviours is in line with the hypothesis of a common psychopathological dimension underlying these phenomena. Further studies are needed to assess personality traits and other clinical disorders associated with these problems behaviours.     

REPATRIATION OF DEBT IN THE EURO CRISIS

With the beginning of the Euro Crisis, the long‐standing trend of European financial integration reversed. Investors unwound cross‐border positions of debt obligations and increased holdings of locally issued debt. In other words, debt obligations were repatriated. We use data on bank portfolios to document three new empirical regularities of the financial disintegration: (i) repatriation affected mainly debt of crisis countries; (ii) repatriation affected mainly public debt; (iii) the public debt of crisis countries that was not repatriated was reallocated to large and politically influential countries within the Euro area. We read these results in light of standard theories of cross‐border portfolio allocation and argue that the sum of these patterns constitutes evidence for the secondary market theory of public debt.     

OPTIMAL AGRICULTURAL POLICY: SMALL GAINS?

Agricultural subsidies distort the allocation of workers across sectors, and may keep too many workers in agriculture. We use a general equilibrium model with endogenous sector selection calibrated to the U.S. economy to assess the efficiency loss and redistribution effect of the current transfer system. Eliminating current subsidies has two main effects: (1) small efficiency gains (around 4% of agricultural output) and (2) a corresponding rise in the price of agricultural goods. We find high-productivity farmers to be the main beneficiaries of the existing policies, although some of the transfers generate a redistribution effect toward low-productivity agents, which extends beyond the agricultural sector. (JEL H21, H25, H30, J24, J31, J43)     

‘Gypsies’ in Fascist Italy: from expelled foreigners to dangerous Italians

Italian research on the persecution of Rom and Sinti under Fascism is still incomplete (in terms of exploitation of the archival sources) and marginal (in terms of the national academic context). This article analyses new sources for the development and application of anti-Gypsy policy during the Fascist era. The central focus is on developments in the new border provinces of Venezia Giulia and Venezia Tridentina, acquired from the Habsburg Empire at the end of the First World War. As a result of the transfer of sovereignty over the resident populations, the nationality status of ‘Gypsies’ had to be addressed, while the significant presence of Rom and Sinti communities in those territories challenged the symbolic meaning they had for the Fascist regime. The outcome was that Fascism marked ‘Gypsies’ as both ‘undesirable foreigners’ and ‘dangerous Italians’, thereby creating a dual rationale for placing them in police confinement and interning them after Italy’s entrance into the war. An approach that combines archival research and field work with Sinti and Rom reveals the transformations, continuities and contradictions in the categorization of ‘Gypsies’. This article thus presents a case study of the place of social and geographical margins in the construction of the nation state.     

A new generalized weighted Weibull distribution with decreasing,increasing, upside-down bathtub,N-shape and M-shape hazard rate

Recently, Domma et al. [An extension of Azzalinis method, J. Comput. Appl. Math. 278 (2015), pp. 37–47] proposed an extension of Azzalini's method. This method can attract readers due to its flexibility and ease of applicability. Most of the weighted Weibull models that have been introduced are with monotonic hazard rate function. This fact limits their applicability. So, our aim is to build a new weighted Weibull distribution with monotonic and non-monotonic hazard rate function. A new weighted Weibull distribution, so-called generalized weighted Weibull (GWW) distribution, is introduced by a method exposed in Domma et al. [13]. GWW distribution possesses decreasing, increasing, upside-down bathtub, N-shape and M-shape hazard rate. Also, it is very easy to derive statistical properties of the GWW distribution. Finally, we consider application of the GWW model on a real data set, providing simulation study too.     

Statistical Modeling of Temporal Dependence in Financial Data via a Copula Function

In financial analysis it is useful to study the dependence between two or more time series as well as the temporal dependence in a univariate time series. This article is concerned with the statistical modeling of the dependence structure in a univariate financial time series using the concept of copula. We treat the series of financial returns as a first order Markov process. The Archimedean two-parameter BB7 copula is adopted to describe the underlying dependence structure between two consecutive returns, while the log-Dagum distribution is employed to model the margins marked by skewness and kurtosis. A simulation study is carried out to evaluate the performance of the maximum likelihood estimates. Furthermore, we apply the model to the daily returns of four stocks and, finally, we illustrate how its fitting to data can be improved when the dependence between consecutive returns is described through a copula function.