Understanding Cumulative Risk Perception from Judgments and Choices: An Application to Flood Risks

Catastrophic events, such as floods, earthquakes, hurricanes, and tsunamis, are rare, yet the cumulative risk of each event occurring at least once over an extended time period can be substantial. In this work, we assess the perception of cumulative flood risks, how those perceptions affect the choice of insurance, and whether perceptions and choices are influenced by cumulative risk information. We find that participants' cumulative risk judgments are well represented by a bimodal distribution, with a group that severely underestimates the risk and a group that moderately overestimates it. Individuals who underestimate cumulative risks make more risk‐seeking choices compared to those who overestimate cumulative risks. Providing explicit cumulative risk information for relevant time periods, as opposed to annual probabilities, is an inexpensive and effective way to improve both the perception of cumulative risk and the choices people make to protect against that risk.     

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.     

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.     

Designing a Programme to Support Smallholder Agriculture in Mexico: Lessons from PROCAMPO and Oportunidades

This article argues that there is a gap in current Mexican rural development policy that could be filled by a smallholder‐targeted programme. The gap exists because agricultural programmes tend to benefit better‐off farmers, while social programmes tend to focus on long‐term investment in human capital, specifically for the children of today's poor. Drawing on lessons from PROCAMPO and Oportunidades, it offers a specific design for such a programme at a time when the government is considering how to reform PROCAMPO, given that, after 15 years, it is due to come to an end.     

Building cultural competence: A systematic evaluation of the effectiveness of culturally sensitive interventions with ethnic minority youth

Growing diversity within the US population accentuates the need for the development and implementation of culturally competent services in the field of child welfare. Despite this, few studies exist that examine the effectiveness of culturally sensitive interventions (CSIs) with ethnic minority populations, who are considerably more at risk of developing psychosocial problems including substance and alcohol abuse, delinquency, low academic achievement, and poor self-esteem. With the demand for evidence-based practice it is imperative that we examine the effectiveness of CSIs designed to prevent and treat youth problems. The main goal of this review was to systematically analyze the methodology of recent CSI research with populations of ethnic minority youth in order to evaluate each intervention's ability to adhere to existing standards of evidence-based practice. The fifteen CSI studies examined in this review illustrate progress in their attempt to adhere to the methodological rigor required of evidence-based practice. This review encourages the field of child welfare to position itself analogously with and embrace the movement toward building cultural competence by further investigating the effectiveness of culturally-sensitive interventions with ethnic minority youth.     

Embedded cultural values and international transaction cost advantages

Culturally embedded differences in self-interested behavior and perceptions of trust violate the universal assumption of moral hazard held by transaction cost economic theorists. A model of transaction cost advantage is derived and propositions developed using the cultural value diversity literature to test the universal assumptions of transaction cost economics.