“I Know That You Know How I Feel”: Behavioral and Physiological Signals Demonstrate Emotional Attunement While Interacting with a Computer Simulating Emotional Intelligence

Human–human communication studies have suggested that within communicative interactions, individuals acknowledge each other as intentional agents and adjust their emotion nonverbal behavior according to the other. This process has been defined as emotional attunement. In this study, we examine the emotional attunement process in the context of affective human–computer interactions. To this purpose, participants were exposed to one of two conditions. In one case, they played with a computer that simulated understanding of their emotional reactions while guiding them across four different game-like activities; in the other, the computer guided participants across the activities without mentioning any ability to understand emotional responses. Face movements, gaze direction, posture, vocal behavior, electrocardiogram and electrodermal activity were simultaneously recorded during the experimental sessions. Results showed that if participants were aware of interacting with an agent able to recognize their emotions, they reported that the computer was able to “understand” them and showed a higher number of nonverbal behaviors during the most interactive activity. The implications are discussed.     

COVID: Using the DAN Model with Couples to Increase Family Resilience

The COVID‐19 pandemic has massively impacted our society, affecting both wider systems and smaller ones alike. Families across the world have had to adapt to a new style of living, dominated by uncertainty, which is testing their resilience. Within this context, we have asked ourselves, as systemic therapists, what can be done to provide support and a sense of understanding to families. In this article, it is argued that therapeutic tools taken from a manualised intervention to promote resilience in couples can provide valuable help to families who are struggling in this difficult time. This intervention, developed at the Iscra Institute in Modena, Italy, is called Digital, Analogic, and Narrative (DAN). The tools used in the DAN model are described in this paper and their application in practice is illustrated through a case study.     

On Italian Households’ Economic Inadequacy Using Quali-Quantitative Measures

Motivated by an interest in investigating factors associated with poverty risks in Italy, our study provides insight into the relationship between various socio-economic, demographic, and behavioural variables and a new measure of the economic inadequacy of households. We propose that a household is in a condition of economic inadequacy when it simultaneously has difficulty making ends meet and is in arrears with payments of commitments for more than 90 days. To analyse the determinants of economic inadequacy, we use cross-sectional microdata collected through a structured questionnaire from a 2012 survey of household income and wealth conducted by the Bank of Italy. The results of the analysis show that the probability of economic inadequacy for Italian households is higher when the household is located in regions in southern Italy, has a low equivalent income, registers a decrease in income compared with that of a normal year, has a low liquidity ratio, pays rent for the house of residence, is over-indebted, is indebted to friends and relatives, and has an unhappy and impatient household head. We also propose constructing a composite indicator at the regional level that combines the percentage of households in relative poverty, as measured by the Italian National Institute of Statistics, and the percentage of households that we identify as existing in a condition of economic inadequacy. The composite indicator allows us to take into account some aspects of household living conditions that are not included in the measure of relative poverty.     

CONSUMPTION EXTERNALITIES AND MONETARY POLICY WITH LIMITED ASSET MARKET PARTICIPATION

This article explores the interaction between consumption externalities and limited asset market participation (LAMP) in the standard New‐Keynesian model. We assess the performance of simple Taylor‐type interest rate rules with respect to (a) equilibrium determinacy, (b) the model's ability to simultaneously generate output and inflation volatility similar to the pre‐Volcker era, and (c) the model's response to a technology shock. We find that when individual preferences are affected by average household consumption (Aggregate Consumption Externality), stronger externalities increase the range of LAMP for which multiple equilibria arise even if the policy rule satisfies the Taylor principle. The interaction of LAMP and externalities can generate vast inflation/output relative volatility in line with the one observed in the data in the 1970s. According to our analysis, consumption externalities also affect the responses of endogenous variables to total factor productivity shocks. (JEL E4, E5)     

Wholly proprietary versus wholly open knowledge strategies: some empirical evidences from Italian biotech firms

This paper focuses on biotechnologies and biotech companies. Our aim is to develop a model for assessing the openness degree of knowledge governance strategies, applying it to the biotech firms. Biotech production is described as an emerging meta-industry in the global economy, fostering through new products, many socio-economic fields. Its main features are: a close relationship among knowledge, innovation and competitiveness; the need for collaborative research; the importance of small firms. Our paper begins with a brief characterization of the biotech meta-sector. We then review the literature regarding the advantages and disadvantages of ??wholly proprietary?? versus ??wholly open?? knowledge strategies. Next we propose a model and report the main results of its application to biotech companies in Italy. In conclusion, we evaluate the degree of openness of the company knowledge strategies based upon empirical evidence from our research in the field.     

Age,Health and Life Satisfaction Among Older Europeans

In this paper we investigate how age affects the self-reported level of life satisfaction among the elderly in Europe. By using a vignette approach, we find evidence that age influences life satisfaction through two counterbalancing channels. On the one hand, controlling for the effects of all other variables, the own perceived level of life satisfaction increases with age. On the other hand, given the same true level of life satisfaction, older respondents are more likely to rank themselves as “dissatisfied” with their life than younger individuals. Detrimental health conditions and physical limitations play a crucial role in explaining scale biases in the reporting style of older individuals.     

The optimum growth rate for population under critical-level utilitarianism

We characterize optimal consumption, capital, and population growth of a production economy under critical-level utilitarianism. First, we show that neither classical utilitarianism nor average utilitarianism can avoid a corner solution for the population growth rate, in that under the former, population grows at the maximum speed (the so-called repugnant conclusion) while under the latter, it grows at the minimum. Second, we show that critical level utilitarianism yields an interior solution for the population growth rate provided the critical level belongs to a positive, open interval. Finally, we characterize the transition to the steady state and perform comparative dynamics analysis.     

Robust inference for the stress–strength reliability

We address the problem of robust inference about the stress–strength reliability parameter R = P(X < Y), where X and Y are taken to be independent random variables. Indeed, although classical likelihood based procedures for inference on R are available, it is well-known that they can be badly affected by mild departures from model assumptions, regarding both stress and strength data. The proposed robust method relies on the theory of bounded influence M-estimators. We obtain large-sample test statistics with the standard asymptotic distribution by means of delta-method asymptotics. The finite sample behavior of these tests is investigated by some numerical studies, when both X and Y are independent exponential or normal random variables. An illustrative application in a regression setting is also discussed.     

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.