Ergonomics and design for all

The paper deals with research areas and actions thanks to which the theoretical and methodological content of the "Ergonomics in Design" project can give a concrete contribution to the "Design for All" project, in particular with regards to the assessment and design of environments, the design of everyday products.     

(Sub) Optimality and (non) optimal satisficing in risky decision experiments

We implement a risky choice experiment based on one-dimensional choice variables and risk neutrality induced via binary lottery incentives. Each participant confronts many parameter constellations with varying optimal payoffs. We assess (sub)optimality, as well as (non)optimal satisficing by eliciting aspirations in addition to choices. Treatments differ in the probability that a binary random event, which are payoff—but not optimal choice—relevant is experimentally induced and whether participants choose portfolios directly or via satisficing, i.e., by forming aspirations and checking for satisficing before making their choice. By incentivizing aspiration formation, we can test satisficing, and in cases of satisficing, determine whether it is optimal.     

Does Tourism Consumption Behaviour Mirror Differences in Living Standards?

Based on the theoretical foundation of well-being measurement, the study explores differences in living standards by analysing the distribution of tourism expenditure. A mixture of regression models is used to explore the heterogeneity in tourism consumption by identifying groups of families with similar tourism consumption behaviour as a function of certain socio-demographic and economic factors. The empirical analysis, performed on Italian expenditure data, suggests that there are three different patterns of consumption behaviour conditional to the socio-demographic and economic covariates in the tourism market and that differences in tourism consumption between groups of households mirror inequalities in living standards.     

Students Mobility: Assessing the Determinants of Attractiveness Across Competing Territorial Areas

A central question for education authorities has become “which factors make a territory attractive for tertiary students?” Tertiary education is recognised as one of the most important assets for the development of a territory, thus students’ mobility becomes a brain drain issue whenever there are prevalent areas that attract students from other territories. In this paper, we try to identify the most important factors that could affect student mobility in Italy. In doing that we analyse students’ flows across competing territorial areas which supply tertiary education programs. We will consider a wide range of determinants related to the socio-economic characteristics of the areas as well as resources of the universities in the territories in terms of variety and quantity of the degree programs there available, financial endowments provided by Central Government, and services available to students. The Bradley–Terry modelling approach based on pair comparisons has been adopted to define the attractiveness of competing territories and assess how much the detected divergences can be attributed to factors directly related to the considered characteristics of the universities in the territory and how much is ascribable to inherent characteristics of the areas where the universities are located such as the labour market conditions. Furthermore, the adopted approach allows us to consider uncertainty in defining territorial attractiveness and making comparisons. In this way, we would like to provide some evidences to assess if the rules currently used by the Central Government to finance public universities on the basis of their capabilities to attract students really reward the efforts made by the university system in the area to improve their standard of quality or, on the contrary, reward the territorial features.     

It's About Time! Examining Received Dosage and Program Duration as Predictors of Change Among Non‐Distressed and Distressed Married Couple and Relationship Education Participants

Although Couple and Relationship Education (CRE) programs were intended to be preventive in nature, an emerging reality is that relationally distressed couples are attending programs. This has raised questions about both its general usefulness and what is known regarding predictors of change in CRE for distressed couples particularly. Previous work has identified dosage and duration as important moderators of changes, and there are myriad program contexts offered, highlighting the need to examine these among distressed couples. This study utilized a sample of community CRE participants and examined received dosage and program duration as predictors of change. Comparing results for distressed and non‐distressed participants, we found several group differences. Findings suggest that it is important to consider distress level and time spent in programs when placing participants. In addition, research should continue to examine these groups separately (or comparatively) to find out what works for whom.     

Maximum Likelihood Estimation of Input Demand Models with Fixed Costs of Adjustment

Traditional models of input demand rely upon convex and symmetric adjustment costs. However, the fortune of this highly restrictive approach is due more to analytical convenience than to empirical relevance. In this note we examine the model under more realistic hypothesis of fixed costs, show that it can be cast in the form of a Double Censored Random Effect Tobit Model, derive its likelihood function, and finally evaluate the performance of the ML estimators through a Monte Carlo experiment. The performances, although strongly dependent on the degree of censoring, appear to be promising.     

Contrasting the Gini and Zenga indices of economic inequality

The current financial turbulence in Europe inspires and perhaps requires researchers to rethink how to measure incomes, wealth, and other parameters of interest to policy-makers and others. The noticeable increase in disparities between less and more fortunate individuals suggests that measures based upon comparing the incomes of less fortunate with the mean of the entire population may not be adequate. The classical Gini and related indices of economic inequality, however, are based exactly on such comparisons. It is because of this reason that in this paper we explore and contrast the classical Gini index with a new Zenga index, the latter being based on comparisons of the means of less and more fortunate sub-populations, irrespectively of the threshold that might be used to delineate the two sub-populations. The empirical part of the paper is based on the 2001 wave of the European Community Household Panel data set provided by EuroStat. Even though sample sizes appear to be large, we supplement the estimated Gini and Zenga indices with measures of variability in the form of normal, t-bootstrap, and bootstrap bias-corrected and accelerated confidence intervals.     

Family Network Support and Mental Health Recovery

Family members often provide critical support to persons living with a serious mental illness. The focus of this study was to determine which dimensions of the family support network were most important to the recovery process from the perspective of the recovering person. Consumers of a community mental health program completed in-depth structured interviews that included separate measures of social network support and recovery. Consumers named an average of 2.6 family members on the social network, interacted with family on a weekly basis, and were quite satisfied with their contact. This study revealed that support and reciprocity with family members are important dimensions of a personal support network that relates to the recovery process.