Alcohol use among college students: responses to raising the purchase age

On December 1, 1985, New York State raised its alcohol purchase age from 19 to 21. We used a quasi-experimental research design to explore the changes in alcohol use behaviors and attitudes of undergraduates at a large central New York university before and after this legislation was enacted. The overwhelming majority of this undergraduate population is under 21 years old and is thus affected by the new legislation. A comparison of data from the two survey times revealed that 90% of the undergraduates sampled continued to drink at least occasionally. Our analysis of drinking quantity showed a slight moderation in alcohol consumption overall, with the greatest changes occurring for the heaviest drinkers--men and members of Greek organizations. Even with apparent moderation in student drinking, reported negative consequences such as physical injuries were more common. A change in drinking location to less-controlled environments, such as private rooms and unmonitored parties, is offered as one possible explanation.     

Beyond Miami: The Ethnic Enclave and Personal Income in Various Cuban Communities in the United States1

It is frequently noted that Cubans living in Miami are successful because they benefit from the formation of an enclave economy. Using the 1990 Census Public Use Microdata, this study broadens the examination beyond Miami to address the question of why Cubans living elsewhere have higher earnings than those in Miami. Specifically, I address the question of whether there is a relationship between Cuban ethnic enclave participation and Cuban income. Findings indicate that Cubans in Miami have the lowest personal income. Cubans living in areas with the lowest Cuban populations have the highest incomes. These findings are evidence against the enclave economy hypothesis.     

Reports of Conferences, Institutes, and Seminars

Reports on the 2005 North Carolina Serials Conference, the twentieth anniversary conference of the North American Serials Interest Group, the 2005 Acquisitions Institute at Timberline Lodge, and a program on electronic archiving sponsored by the New England Chapter of the Association of College and Research Libraries.     

Bayesian model selection for join point regression with application to age-adjusted cancer rates

Summary.  The method of Bayesian model selection for join point regression models is developed. Given a set of K +1 join point models M ₀,  M ₁, …,  M _K with 0, 1, …,  K join points respec-tively, the posterior distributions of the parameters and competing models M _k are computed by Markov chain Monte Carlo simulations. The Bayes information criterion BIC is used to select the model M _k with the smallest value of BIC as the best model. Another approach based on the Bayes factor selects the model M _k with the largest posterior probability as the best model when the prior distribution of M _k is discrete uniform. Both methods are applied to analyse the observed US cancer incidence rates for some selected cancer sites. The graphs of the join point models fitted to the data are produced by using the methods proposed and compared with the method of Kim and co-workers that is based on a series of permutation tests. The analyses show that the Bayes factor is sensitive to the prior specification of the variance σ ², and that the model which is selected by BIC fits the data as well as the model that is selected by the permutation test and has the advantage of producing the posterior distribution for the join points. The Bayesian join point model and model selection method that are presented here will be integrated in the National Cancer Institute's join point software ( http://www.srab.cancer.gov/joinpoint/ ) and will be available to the public.     

Employment and the Risk of Domestic Abuse Among Low‐Income Women

This paper uses data from 2 randomized evaluations of welfare‐to‐work programs—the Minnesota Family Investment Program and the National Evaluation of Welfare‐to‐Work Strategies—to estimate the effect of employment on domestic abuse among low‐income single mothers. Unique to our analysis is the application of a 2‐stage least squares method, in which random assignment enables us to control for omitted characteristics that might otherwise confound the association between employment and domestic abuse. We find that increased maternal employment decreases subsequent reports of domestic abuse in both studies. In the Minnesota Family Investment Program—a program with an enhanced income disregard that allowed welfare mothers to keep a portion of their welfare income as earnings rose—an increase in household incomes appears to have contributed to reductions in reports of domestic abuse.     

Reports of Conferences, Institutes, and Seminars: Crossroads to the Future

Reports cover the 2006 Ohio Valley Group of Technical Services Librarians Conference and the 2006 North American Serials Interest Group Conference.