(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.     

The profile of cyclists in the city of Juiz de Fora

The problems related to the means of transport in urban Brazilians have been getting worse over the years. The increase of the fleet, to the detriment of the adequacy and extent of the road network of cities contributes to this fact. This paper presents a profile of users of cycling in the city of Juiz de Fora, and thus contributes to the study of sustainable urban mobility, providing researchers with information that can guide the search for the encouragement of the use of means of transport to meet environmental needs urban centers that contributes to social equity.     

Accounting for family background when designing optimal income taxes: a microeconometric simulation analysis

We develop an extended version of Roemer’s Equality of Opportunity (EOp) criterion that accounts for income differentials between as well as within types, where types are defined by circumstances that are beyond people’s control (parental education, in this study). A microeconometric model of labour supply in Italy is employed to identify income tax-transfer rules that are optimal according to the extended EOp criterion. Overall, the results do not conform to the perhaps common expectation that the more conventional Equality of Outcome criterion is more supportive of “interventionist” (redistributive) policies than the EOp approach.     

Public–private wage differential and gender gap in Latin America: Spoiled bureaucrats and exploited women?

This paper uses a rich collection of household surveys to investigate the wage differential between the public and private sectors in 13 Latin American countries. It also studies how the sector of employment affects the gender wage gap. Contrary to what is commonly thought, it is found that, in the majority of Latin American countries, there is a premium associated with working in the public sector. It is also found that the premium is often higher for women than for men but that this difference does not compensate for the wide gender gap.     

Burnout among mental health professionals: special considerations for the marriage and family therapist

Burnout is a syndrome consisting of physical and emotional exhaustion resulting from negative self-concept, negative job attitudes, and loss of concern for clients. This research study explores potential predictors and prevalence of burnout among marriage and family therapists (MFTs). It evaluates the Maslach Burnout Inventory (MBI) to establish its applicability to MFTs. Our sample of 116 Clinical Members of the American Association for Marriage and Family Therapy responded to a mailed questionnaire including demographic information and the MBI. Overall, our sample reported low-to-moderate ranges of burnout. Differences were noted in degrees of burnout across job settings. Predictors of clinician burnout include hours worked per week and job setting. Factor analysis indicates that the MBI is an appropriate assessment tool for measuring burnout among MFTs. Implications for clinical practice are discussed.     

The Role of Survey Data in Microsimulation Models for Social Policy Analysis

Questions about the impact of social policies cannot be answered solely on the basis of official statistics made available in tabular format. The access to microdata allows policy analysts to answer these questions with a larger set of analytical tools, in particular microsimulation models. This paper examines the interface between survey data and microsimulation models. We review different types of microsimulation models (static and dynamic) and their data requirements. We then restrict the attention to survey-based microdata, and examine issues in survey design, questionnaire content, data quality, and dissemination policy that are important from the perspective of microsimulation.     

Five-year all-cause mortality rates across five categories of substantiated elder abuse occurring in the community

ABSTRACT

Elder abuse increases the likelihood of early mortality, but little is known regarding which types of abuse may be resulting in the greatest mortality risk. This study included N = 1,670 cases of substantiated elder abuse and estimated the 5-year all-cause mortality for five types of elder abuse (caregiver neglect, physical abuse, emotional abuse, financial exploitation, and polyvictimization). Statistically significant differences in 5-year mortality risks were found between abuse types and across gender. Caregiver neglect and financial exploitation had the lowest survival rates, underscoring the value of considering the long-term consequences associated with different forms of abuse. Likewise, mortality differences between genders and abuse types indicate the need to consider this interaction in elder abuse case investigations and responses. Further mortality studies are needed in this population to better understand these patterns and implications for public health and clinical management of community-dwelling elder abuse victims.