Population constraints on pooled surveys in demographic hazard modeling

In non-experimental research, data on the same population process may be collected simultaneously by more than one instrument. For example, in the present application, two sample surveys and a population birth registration system all collect observations on first births by age and year, while the two surveys additionally collect information on women’s education. To make maximum use of the three data sources, the survey data are pooled and the population data introduced as constraints in a logistic regression equation. Reductions in standard errors about the age and birth-cohort parameters of the regression equation in the order of three-quarters are obtained by introducing the population data as constraints. A halving of the standard errors about the education parameters is achieved by pooling observations from the larger survey dataset with those from the smaller survey. The percentage reduction in the standard errors through imposing population constraints is independent of the total survey sample size.     

The Psychology of Working: A New Framework for Counseling Practice and Public Policy

The authors present the psychology‐of‐working perspective (D. L. Blustein, 2006; N. Peterson & R. C. González, 2005; M. S. Richardson, 1993) as an alternative to traditional career development theories, which have primarily explored the lives of those with choice and volition in their working lives. The major historical and conceptual features of the psychology of working are reviewed, with a focus on how this framework provides a more inclusive and, ideally, more just vision for the career counseling field. Implications for career counseling and a case presentation are provided to examine how this new perspective can inform counseling practice. A brief overview of public policy implications concludes the article.     

Familism Values,Perspective Taking,and Prosocial Moral Reasoning: Predicting Prosocial Tendencies Among Mexican American Adolescents

Mexican American youth often engage in relatively high levels of prosocial behaviors. We theorize that this may be due to a cultural value system that encourages familism values, which, in turn, may foster the development of sociocognitive processes that promote prosocial behaviors. Two hundred and five Mexican American early adolescent youth (M_age = 10.9 years, SD = 0.84; 51% girls) reported their familism values, perspective taking, prosocial moral reasoning, and six types of prosocial behaviors. The results indicated that perspective taking partially mediated the relation between familism values and the specific prosocial tendencies theoretically linked to the Mexican American culture. The study demonstrated the utility of integrating cultural and traditional developmental mechanisms in attempting to explain prosocial behaviors.     

Engaging Indigenous Communities: Towards a Policy Framework for Indigenous Community Justice Programmes

Community engagement has come to the fore as a policy and programme approach that seeks to connect citizens both with each other and with government in order to deliver improved social and economic opportunities and outcomes. This model has become a key aspect of the intervention approach within Indigenous communities and is seen to have particular application in addressing community justice issues. This article examines a suite of community justice initiatives being used in Indigenous communities in Australia with a view to ascertaining how the principles of community engagement are operationalized. The article draws on this information and argues that community engagement is only one aspect of a number of community‐oriented justice initiatives currently being applied. These initiatives range from concepts of community as a location, community as an interest group, and the leveraging of community capital so as to tap into and build better and stronger relationships. In so doing, the latter attempts to increase the social infrastructure, resources and capacity of communities. However, despite government attention in this area, there is a lack of a policy and programmatic framework to guide a coherent and apposite approach to issues of community in specific policy settings. The article contributes to the development of a framework that begins the process of differentiating and assessing justice administration interventions.     

Does a food for education program affect school outcomes? The Bangladesh case

The Food for Education (FFE) program was introduced to Bangladesh in 1993. This paper evaluates the effect of this program on school participation and duration of schooling using household survey data collected in 2000. Using propensity score matching combined with difference-in-differences methodologies, we find that the program is successful in that eligible children on average have 15% to 26% higher school participation rates, relative to their counterfactuals who would have been eligible for the program had they lived in the program-eligible areas. Conditional on school participation, participants also stay at school 0.7 to 1.05 years longer than their counterfactuals.     

The Missing Link: Deficits of Country-Level Studies. A Review of 22 Articles Explaining Life Satisfaction

To explain country differences in an analytical or structural dependent variable, the application of a macro–micro-model containing contextual hypotheses is necessary. Our methodological study examines whether empirical studies apply such a model. We propose that a theoretical base for country differences is well described in multilevel studies, but aggregate and individual data analyses fail to specify contextual hypotheses ex ante (in the theory section of an article) and instead elaborate on macro–micro explanations ex post (in the discussion section). To test our assumptions, we analyzed 22 studies published in journals cited in the Social Science Citation Index between 2007 and 2010, which compare countries with respect to life satisfaction. Results are in accordance with our expectations. We conclude that cross-country comparisons should apply a macro–micro-model theoretically and empirically, if possible, and include the meso level, if appropriate. In case of insufficient data (i. e. only individual level or aggregate level data), applying a macro–micro-model theoretically may prevent premature conclusions.     

A Starting Point for Navigating the World of Daily Fantasy Basketball

Fantasy sports, particularly the daily variety in which new lineups are selected each day, are a rapidly growing industry. The two largest companies in the daily fantasy business, DraftKings and Fanduel, have been valued as high as $2 billion. This research focuses on the development of a complete system for daily fantasy basketball, including both the prediction of player performance and the construction of a team. First, a Bayesian random effects model is used to predict an aggregate measure of daily NBA player performance. The predictions are then used to construct teams under the constraints of the game, typically related to a fictional salary cap and player positions. Permutation based and K-nearest neighbors approaches are compared in terms of the identification of “successful” teams—those who would be competitive more often than not based on historical data. We demonstrate the efficacy of our system by comparing our predictions to those from a well-known analytics website, and by simulating daily competitions over the course of the 2015–2016 season. Our results show an expected profit of approximately $9,000 on an initial $500 investment using the K-nearest neighbors approach, a 36% increase relative to using the permutation-based approach alone. Supplementary materials for this article are available online.