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.     

Risk Assessment of Human Listeriosis from Semisoft Cheeses Made from Raw Sheep's Milk in Lazio and Tuscany (Italy)

Semisoft cheese made from raw sheep's milk is traditionally and economically important in southern Europe. However, raw milk cheese is also a known vehicle of human listeriosis and contamination of sheep cheese with Listeria monocytogenes has been reported. In the present study, we have developed and applied a quantitative risk assessment model, based on available evidence and challenge testing, to estimate risk of invasive listeriosis due to consumption of an artisanal sheep cheese made with raw milk collected from a single flock in central Italy. In the model, contamination of milk may originate from the farm environment or from mastitic animals, with potential growth of the pathogen in bulk milk and during cheese ripening. Based on the 48‐day challenge test of a local semisoft raw sheep's milk cheese we found limited growth only during the initial phase of ripening (24 hours) and no growth or limited decline during the following ripening period. In our simulation, in the baseline scenario, 2.2% of cheese servings are estimated to have at least 1 colony forming unit (CFU) per gram. Of these, 15.1% would be above the current E.U. limit of 100 CFU/g (5.2% would exceed 1,000 CFU/g). Risk of invasive listeriosis per random serving is estimated in the 10^?12 range (mean) for healthy adults, and in the 10^?10 range (mean) for vulnerable populations. When small flocks (10–36 animals) are combined with the presence of a sheep with undetected subclinical mastitis, risk of listeriosis increases and such flocks may represent a public health risk.     

LEANING AGAINST WINDY BANK LENDING

Using an estimated dynamic stochastic general equilibrium model with banking, this paper first provides evidence that monetary policy reacted to bank loan growth in the United States during the Great Moderation. It then shows that the optimized simple interest‐rate rule features no response to the growth of bank credit. However, the welfare loss associated to the empirical responsiveness is small. The sources of business cycle fluctuations are crucial in determining whether a “leaning‐against‐the‐wind” policy is optimal or not. In fact, the predominant role of supply shocks in the model gives rise to a trade‐off between inflation and financial stabilization. (JEL E32, E44, E52)     

The Effect of Cash Transfers on Fertility: Evidence from Argentina

In 2009 Argentina introduced a large poverty-alleviation program (AUH) that provides monthly cash transfers per child to households without workers in the formal sector. In this paper we study the potential unintended effect of this program on fertility. We apply a difference-in-difference strategy comparing the probability of having a new child among eligible and ineligible mothers both before and after the program inception. The intention to treat estimations suggest a significant positive impact on fertility in households with at least one child (around 2 percentage points), but no significant effect on childless households. Given the short time window since the implementation of the AUH, we are unable to identify whether this positive effect reflects changes in the timing of births or in the equilibrium number of children.     

Double Sampling Ratio-product Estimator of a Finite Population Mean in Sample Surveys

It is well known that two-phase (or double) sampling is of significant use in practice when the population parameter(s) (say, population mean X¯) of the auxiliary variate x is not known. Keeping this in view, we have suggested a class of ratio-product estimators in two-phase sampling with its properties. The asymptotically optimum estimators (AOEs) in the class are identified in two different cases with their variances. Conditions for the proposed estimator to be more efficient than the two-phase sampling ratio, product and mean per unit estimator are investigated. Comparison with single phase sampling is also discussed. An empirical study is carried out to demonstrate the efficiency of the suggested estimator over conventional estimators.     

Household Composition,Family Migration,and Community Context: Migrant Remittances in Four Countries*

Objectives. We study migrant remittances among households surveyed in Mexico, the Dominican Republic, Nicaragua, and Costa Rica, testing expectations derived from the new economics of labor migration (NELM) and from the historic‐structural approach. Methods. We applied logistic regression analyses to survey data collected by the Mexican Migration Project and the Latin American Migration Project, focusing on the contrast between Mexico and the Dominican Republic. Results. In Mexico, remittances seem to be associated with the patriarchal traditional family, but in the Dominican Republic we verified the opposite. Receipt of remittances is positively associated with degree of development among Mexican households, but the association is negative in the Dominican Republic. In addition, Mexican remittances are negatively associated with the number of businesses in the local community. Conclusions. In Mexico, as predicted by NELM, the cohesive patriarchal family ensures the flow of remittances as part of a household strategy of risk diversification. Dominican remittances, however, seem to be mostly determined by lack of opportunities and household need.     

Religion as a Meaning System: Policy Implications for the New Millennium

The development of social policy related to religion has received increasing focus in recent years, yet psychology continues to play a relatively minor role in this important domain. In the current article, religion's positive and negative influences as a meaning system on individual, community, and societal well-being are delineated. The challenges facing psychology in contributing to public policy development in the religious arena are examined, challenges that stem from profound differences in the meaning systems of religion, government, and psychology. These challenges notwithstanding, a number of different pathways in the domains of applied research, community practice, and policy development are delineated through which psychology can help to maximize positive, and minimize negative, outcomes in the religion and social policy arena.