The Ends of Deliberation: Meta‐consensus and Inter‐subjective Rationality as Ideal Outcomes

Normative deliberative theory has contributed much to an understanding of ideal procedural standards, but there is considerable uncertainty regarding the appropriate nature of desired deliberative outcomes. In this paper we identify two inter‐related concepts of meta‐consensus and inter‐subjective rationality as outcomes that an authentic deliberative process ought to produce. Importantly, these deliberative ends are consistent with ideal deliberative procedure. They are also empirically tractable, where preference transformation can be described in terms of underlying values, and judgments. Methods for assessing deliberative ends are provided and demonstrated using a case study.     

An Early Community-Based Intervention for the Prevention of Substance Abuse and Other Delinquent Behavior

This paper presents the results of an evaluation of an early intervention, risk-reduction strategy versus a standard intervention approach in the treatment of inner-city youth at high risk of adopting a deviant lifestyle. It examines baseline and 1-year follow-up information provided by 408 youth admitted to 2 community-based Baltimore City Youth Bureaus offering counseling services for neighborhood youth referred for delinquent and other problematic behavior. In the study, one of these bureaus served as the experimental intervention clinic and the other as the control, or standard intervention, clinic. Outcome measures involved substance abuse; sexual activity; contact with juvenile authorities; and delinquent activity, including violence-related activity. Regression analyses of outcome measures revealed significant differential results for delinquent activity, which favored the experimental intervention. Relationships between risk/protective factors and outcome are discussed.     

Municipal Bond Insurance: Trends and Prospects

Privately sold bond insurance is the most common form of credit enhancement for municipal bonds. Research generally finds that bond insurance reduces interest costs for lower rated, long–term debt issues. Researchers have concluded that these results are consistent with presumed investor risk aversion, as well as more "rational" risk management behaviors, and with theories concerning the efficiency–enhancing properties of financial intermediation in imperfect markets. We propose a research agenda based both on traditional theories and on additional hypotheses that seek to account for the observed use of bond insurance where net savings would not normally be predicted.     

Species loss revisited

Among his books are The Economics of Population Growth; Effort, Opportunity, and Wealth;and Population Matters: People, Resources, Environment, and Immigration (the latter was published by Transaction).     

Using the Delphi process to analyze social policy implementation: A post hoc case from vocational rehabilitation

This study uses a Policy Delphi to discern differences in perspective among and within groups responsible for formulating and implementing vocational rehabilitation policy. Four groups of players were chosen for our analysis: government officials, academics, directors of rehabilitation centers, and the staff who interface with program participants. Significant differences were found between the groups regarding the relative importance of possible legislative goals. This suggests that the failure of vocational rehabilitation policy to promote a work agenda may be attributed to a lack of consensus among policy implementors. The Delphi technique could help policy planners understand the different perspectives within the implementation community, and hence craft more realistic legislation.     

Estimation and Inference Are Missing Data Problems: Unifying Social Science Statistics via Bayesian Simulation

Bayesian simulation is increasingly exploited in the socialsciences for estimation and inference of model parameters. Butan especially useful (if often overlooked) feature of Bayesiansimulation is that it can be used to estimate any function ofmodel parameters, including "auxiliary" quantities such as goodness-of-fitstatistics, predicted values, and residuals. Bayesian simulationtreats these quantities as if they were missing data, samplingfrom their implied posterior densities. Exploiting this principlealso lets researchers estimate models via Bayesian simulationwhere maximum-likelihood estimation would be intractable. Bayesiansimulation thus provides a unified solution for quantitativesocial science. I elaborate these ideas in a variety of contexts:these include generalized linear models for binary responsesusing data on bill cosponsorship recently reanalyzed in PoliticalAnalysis, item—response models for the measurement ofrespondent's levels of political information in public opinionsurveys, the estimation and analysis of legislators' ideal pointsfrom roll-call data, and outlier-resistant regression estimatesof incumbency advantage in U.S. Congressional elections