Polarization, Information Collection and Electoral Control

We identify the conditions under which voters can induce political parties to collect information and to select policies which are optimal from the representative voter’s point of view. We show that when parties are office motivated the voting rule should encourage parties to collect information. Voting rules that focus on the opposition party sometimes dominate voting rules that focus on the incumbent party. When parties are policy motivated, they also have to be motivated to select good policies. Generally, it is easier to stimulate policy motivated parties than office motivated parties to collect information. However, in contrast to office motivated parties, policy motivated parties will sometimes select policies that conflict with the representative voter’s interest.     

Which Aspects of Elderly Living Conditions are Important to Predict Mortality? The Complex Role of Family Ties at Home and in Institutions

Social Indicators Research - Besides health and socio-economic status, the social relationships maintained during elderly play an important role in shaping the living conditions at older ages. In...     

The development of economic notions: Single sequence or separate acquisitions?

The conceptions on shops and factories of a group of 3rd-grade children were assessed by means of the Piagetian clinical method. Factorial analysis showed that children's answers about the two economic institutions yielded two distinct factors. Children were then divided into three groups (one control and two experimental); children in the experimental groups were taught, by means of two different training procedures, how the shopkeeper can earn a profit. A post-test interview, one month later, showed that both experimental groups had progressed in the target notion; however, children did not generalize to the factory what they had learned about shops. According to these results, 3rd-graders' thinking about economics consists of separate part-systems, which will eventually become integrated as children grow older.     

School adaptation of Roma children

This paper examines the degree of school adaptation among Roma children who were included in a program for the desegregation of Roma schools in Bulgaria. More specifically, the program requires Roma children to attend mixed classes with Bulgarian students and Roma teacher assistants to work with them. The Bulgarian version of the Questionnaire on School Adaptation, developed at the Harvard Graduate School of Education was used. A factorial experimental design was applied to test the hypothesis that Roma children adapt better to school when they study in mixed classes with the support of a Roma teacher assistant rather than in homogeneous classes. As predicted, the results reveal that Roma students in mixed classes with Roma teacher assistants adapt better than Roma students in homogeneous classes on the most important indicators of adaptation.     

Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis

Statistical Methods & Applications - In professional tennis, it is often acknowledged that the server has an initial advantage. Indeed, the majority of points are won by the server, making the...     

Development and Validation of a Democratic System Justification Scale

Social Indicators Research - Social psychologists have explored the multiple forms of status quo legitimization mainly in regard to the social and economic system. This study aimed to explore the...     

Intergenerational Programs Review: Study Design and Characteristics of Intervention,Outcomes, and Effectiveness

There is a growing interest in intergenerational connectivity through intergenerational programs. In this work, a review of intergenerational programs was performed, with focus on the program design and objectives as well as in their outcomes.

We used a systematic review method in which we screened 3,796 articles. After analyzing titles, abstracts, and full paper analysis, 16 articles were retained. Each study was reviewed, and data were extracted related to target population, study design, characteristics of intervention, outcomes, and effectiveness.

Intergenerational programs included educational programs and art, Information technology development, cultural heritage, health education, and therapeutic activities. Most of the programs collected both quantitative and/or qualitative data. Seven studies collected data in the beginning and at the end of the program. Significant diversity in sample size and intervention length was found. Measurement of outcomes was performed in both young and/or elderly group of participants. Programs impact evaluation varied between studies, including validated scales, interviews, observation, focus groups, and conversation analysis, narratives, videotaped sessions, and field notes.

Our study highlighted the diversity in the design of studies and in the program’s effectiveness evaluation. More randomized design studies are required to support researchers and practitioners in the development of future intergenerational programs.     

Robust analysis of bibliometric data

This work stems from the idea of describing the scientific productivity of Italian statisticians. There are several problems that must be addressed in achieving this goal: What data should be used? Have the data been cleaned? What techniques can be used? We propose the use of multiple sources and multiple metrics to get a complete information base. We check the correctness of the data using multivariate outlier identification techniques. We appropriately transform the data. We apply robust clustering to verify the existence of homogeneous groups. We suggest the use of forward search to establish a ranking among scholars. The proposed methodology, which, in this case, allowed us to group scholars into four homogeneous groups and sort them according to multidimensional data, can be applied to other similar applications in bibliometrics.     

Influence Measures in Quantile Regression Models

In this article, we use the asymmetric Laplace distribution to define a new method to determine the influence of a certain observation in the fit of quantile regression models. Our measure is based on the likelihood displacement function and we propose two types of measures in order to determine influential observations in a set of conditional quantiles conjointly or in each conditional quantile of interest. We verify the validity of our average measure in a simulated data set as well in an illustrative example with data about air pollution.