Brief Screening and Intervention for Alcohol and Drug Use in a College Student Health Clinic: Feasibility,Implementation, and Outcomes

Abstract

Objective: Evaluation of the Brief Alcohol Screen and Intervention in College Students (BASICS) in a university primary care setting. Participants/Methods: Undergraduates (N = 449) participated in BASICS and electronic surveys assessing frequency/quantity of alcohol and drug use, psychosocial and mental health outcomes, and demographic information. Data were collected at baseline and 6-month follow-up between August 2006 and August 2008. Results: Drinking and drug use decreased between baseline and 6 months. Participants reported an increase in protective factors and in readiness to change alcohol-related behaviors, and a decrease in alcohol-related consequences and in distress symptoms. Heavy episodic drinking at baseline significantly moderated the changes in number of drinks in a typical week and in a typical weekend, and number of drinks on the occasion drank most on a weekend. Conclusions: BASICS can be implemented in a primary health care setting and university students may reduce their alcohol and/or drug use.     

Loss-based approach to two-piece location-scale distributions with applications to dependent data

Two-piece location-scale models are used for modeling data presenting departures from symmetry. In this paper, we propose an objective Bayesian methodology for the tail parameter of two particular distributions of the above family: the skewed exponential power distribution and the skewed generalised logistic distribution. We apply the proposed objective approach to time series models and linear regression models where the error terms follow the distributions object of study. The performance of the proposed approach is illustrated through simulation experiments and real data analysis. The methodology yields improvements in density forecasts, as shown by the analysis we carry out on the electricity prices in Nordpool markets.

     

A Non-radial DEA Index for Peruvian Regional Competitiveness

In this paper, we propose a method to measure competitiveness performance at the subnational level, with an application to Peruvian regions. For this, we propose a benefit-of-the-doubt composite index that summarizes the information of several indicators that characterize competitiveness. It is based on an optimization approach, using data enveloping analysis (DEA) techniques, so that each indicator is weighted in an endogenous way, and each unit is evaluated in the most favourable light. Our proposed index is a non-radial variant of the typical DEA scores, which avoids the traditional pitfalls of DEA-based composite indices, such as unreasonable weights. Additionally, we propose a meta-frontier approach in order to compare the competitiveness performances across different periods of evaluation. Our assessments of the Peruvian regions’ competitiveness performance improve on the results of traditional DEA methods, which award high marks to regions with very heterogeneous performance (i.e., regions with very high scores in some indicators, and very poor in others). Additionally, the comparison of the performance across time shows a general decrease in the average competitiveness between 2008 and 2014 of the Peruvian regions.     

Combining Achievement and Well-Being in the Assessment of Education Systems

Countries’ education systems are often compared using academic achievement measures from large-scale assessments like PISA. These exercises are criticized because achievement is but one of the aims of education and comparisons don’t take into account each country’s socio-demographic composition, cultural and historical background and organizational features. We use data from OECD countries to assess countries that can serve as models for education policy to promote both high mathematics achievement and student well-being. We adopt a novel methodological approach based on imputation methods to simultaneously estimate mathematics achievement and students’ sense of belonging while taking into account countries’ socio-demographic and organizational features. Results indicate that, in general, education systems have been able to organize and use their resources to promote either mathematics performance or student well-being, but not both simultaneously. The East Asian approach to education is successful in promoting student achievement in mathematics while Austria, Norway and Spain have greater success in promoting students’ sense of belonging.     

The VL control measure for symmetric networks

In this paper we measure “control” of nodes in a network by solving an associated optimisation problem. We motivate this so-called VL control measure by giving an interpretation in terms of allocating resources optimally to the nodes in order to maximise some search probability. We determine the VL control measure for various classes of networks. Furthermore, we provide two game theoretic interpretations of this measure. First it turns out that the VL control measure is a particular proper Shapley value of the associated cooperative network game. Secondly, we relate the measure to optimal strategies in an associated matrix search game.     

An Objective Bayesian Criterion to Determine Model Prior Probabilities

We discuss the problem of selecting among alternative parametric models within the Bayesian framework. For model selection problems, which involve non‐nested models, the common objective choice of a prior on the model space is the uniform distribution. The same applies to situations where the models are nested. It is our contention that assigning equal prior probability to each model is over simplistic. Consequently, we introduce a novel approach to objectively determine model prior probabilities, conditionally, on the choice of priors for the parameters of the models. The idea is based on the notion of the worth of having each model within the selection process. At the heart of the procedure is the measure of this worth using the Kullback–Leibler divergence between densities from different models.     

Kidnap risks and migration: evidence from Colombia

Using a unique data set from the major Colombian cities collected between 2000–2003 and with information on more than 12,000 households, this paper studies the relationship between the kidnap risk a household faces with its migration decisions. We find evidence that exposure to such risk induces households to react sending some of their members to an international destination but not necessarily to a domestic one. Estimates are robust to the inclusion of several household characteristics usual in the migration literature, other crime risks, reported feelings of insecurity of the household, and an alternative measure of kidnap risk.     

Spatial Analysis of the Relationship Between a Life Quality Index,HDI and Poverty in the Province of Buenos Aires and the Autonomous City of Buenos Aires,Argentina

The study of Quality of Life, Poverty and Human Development shares several elements. Nonetheless, while poverty is a measure of “lack” based on a set of basic need variables (unsatisfied basic needs—UBN), human development index (HDI) is derived from the notion of human capabilities. Quality of Life, however, is a measure of achievement. Our goal is to analyze the degree of spatial correspondence between a life quality index (LQI) and the other indices by using bivariate spatial autocorrelation with its global and local values. The comparison of these three indicators at a municipal level in the province of Buenos Aires and in the Autonomous City of Buenos Aires (the Federal Capital of Argentina) reveals a medium spatial correspondence which leaves room for discussion about the scope and limitations of the indicators. HDI and UBN have a similar spatial configuration while the LQI yields a more fragmented distribution associated to the complexity of its variables, dimension and weights.     

PRICES,INFLATION, AND SMOKING ONSET: THE CASE OF ARGENTINA

This article examines the effect of tobacco prices on the decision to start smoking in Argentina. Argentina is an interesting case to explore given its high smoking rates, its recent experience with periods of very high and hyperinflation, and the mixed evidence of the effect of prices on smoking onset, particularly in low‐ and middle‐income countries. We used data from four cycles of two large national surveys conducted between 2005 and 2011 and discrete‐time hazard models. We found that tobacco prices had a statistically significant and fairly large impact on the hazard of smoking onset, and these findings were robust to alternative specifications. We also found that prices had little effect on the hazards of smoking onset during periods of hyper‐ and very high inflation, which provide some support for the notion that prices lose their informational role in such periods. Governments need to be cognizant that their most important policy tool to reduce tobacco use—taxes that increase real tobacco prices—is likely no longer effective during these times. (JEL C41, H20, I12, I18)