The Interview for Decisional Abilities (IDA): a tool to assess the decisional capacity of abused and neglected older adults

We present the Interview for Decisional Abilities (IDA), a semi-structured tool for use by adult protective services (APS) workers as part of their comprehensive assessments of clients. The IDA was created in response to a Federal mandate to standardize the procedures and competencies of APS agencies with a view to improving client assessments and facilitating cross-jurisdictional research on adult mistreatment. The proximal aim of the IDA is to guide workers in gathering information on the ability of suspected victims of adult mistreatment to make decisions about the risks they face.     

Decomposing the Male/Female Wage Gap: Within and Between Establishment Differences

ABSTRACT: Using Norwegian data from interviews with about 3,500 employees in 759 establishments, the male-female wage differential is decomposed into its between and within establishment components. In the private sector, the gross wage differential of 23 percent is reduced to 13 by checking for human capital and job characteristics, and to 8 by (also) checking for industry and establishment affiliation. Only this within-establishment differential will be affected by equal pay and comparable worth legislation. In the public sector the gross wage gap between men and women is smaller (17 percent). The inter-establishment component is very small, probably due to centralized wage setting and standardized pay schemes. This has not, however, affected the within-establishment differential which is as large as in the private sector.     

Determinants of sexual arousal and accuracy of its self-estimation in sexually functional males

Men with and without sexual dysfunction present with varying patterns of agreement between subjective estimates of sexual arousal and more objective psychophysiological measures of the same construct. This relative accuracy seems to be associated with sexual function, with men who have sexual dysfunction presenting less accurate estimations (mostly reporting below measured arousal levels). The purpose of this study is to clarify the processes underlying sexual arousal and the accuracy of its self-estimation. We looked at potential predictors of sexual arousal (subjective and physiological) and accuracy in estimating objective sexual arousal in a sample of 60 sexually functional males. Predictors included pre-existing sexual attitudes (erotophobia), both trait and state positive and negative affect, self-focused attention, and interoceptive awareness. Results indicate that this sexually functional sample generally reported below their own erection level. Interestingly, trait negative affect was associated with somewhat lower levels of subjective arousal and higher levels of physiological arousal. On the other hand, state positive affect facilitated both subjective and objective arousal and increased somewhat the accuracy of estimates of erectile responding. Pre-existing sexual attitudes as well as variations in self-focused attention and interoceptive awareness evidenced little effect on sexual arousal or the accuracy of its estimation.     

Design of Stockless Production Systems

In make‐to‐stock production systems finished goods are produced in anticipation of demand. By contrast, in stockless production systems finished goods are not produced until demand is observed. In this study we investigate the problem of designing a multi‐item manufacturing system, where there is both demand‐ and production‐related uncertainty, so that stockless operation will be optimal for all items. For the problem of interest, we focus on gaining an understanding of the effect of two design variables: (i) manufacturing speed—measured by the average manufacturing rate or, equivalently, the average unit manufacturing time, and (ii) manufacturing consistency—measured by the variation in unit manufacturing times. We establish conditions on these two variables that decision makers can use to design stockless production systems. Managerial implications of the conditions are also discussed.     

Market insurance,social insurance,and education

We show that social disability insurance may better society-wide welfare even when there is a perfect private market for similar insurance. In essence, the public system complements the private. The latter cover risks when personal characteristics are known, whereas the first mitigates effects of unfavorable characteristics. Large social insurance benefits will induce more education among agents with expected good health. These same agents also experience a negative redistributive income effect from social insurance. Incentive effects to redistribution are therefore nonstandard since individuals that are adversely affected by redistribution will respond with more educational vigor.This research has in part been supported by NRC-Ruhrgas. Comments from seminar participants at the German-Norwegian conference on the economics of social insurance in Bergen 1993, and particularly from two referees, whose comments largely improved the presentation, are appreciated.     

Practitioners' views on elder mistreatment research priorities: recommendations from a Research-to-Practice Consensus conference

This article presents recommendations from expert practitioners and researchers regarding future directions for research on elder abuse prevention. Using the Research-to-Practice Consensus Workshop model, participants critiqued academic research on the prevention of elder mistreatment and identified practice-based suggestions for a research agenda on this topic. The practitioners' critique resulted in 10 key recommendations for future research that include the following priority areas: defining elder abuse, providing researchers with access to victims and abusers, determining the best approaches in treating abusers, exploiting existing data sets, identifying risk factors, understanding the impact of cultural factors, improving program evaluation, establishing how cognitive impairment affects legal investigations, promoting studies of financial and medical forensics, and improving professional reporting and training. It is hoped that these recommendations will help guide future research in such a way as to make it more applicable to community practice.     

Inferring beliefs as subjectively imprecise probabilities

We propose a method for estimating subjective beliefs, viewed as a subjective probability distribution. The key insight is to characterize beliefs as a parameter to be estimated from observed choices in a well-defined experimental task and to estimate that parameter as a random coefficient. The experimental task consists of a series of standard lottery choices in which the subject is assumed to use conventional risk attitudes to select one lottery or the other and then a series of betting choices in which the subject is presented with a range of bookies offering odds on the outcome of some event that the subject has a belief over. Knowledge of the risk attitudes of subjects conditions the inferences about subjective beliefs. Maximum simulated likelihood methods are used to estimate a structural model in which subjects employ subjective beliefs to make bets. We present evidence that some subjective probabilities are indeed best characterized as probability distributions with non-zero variance.     

A finite mixture approach to joint clustering of individuals and multivariate discrete outcomes

In this work, we modify finite mixtures of factor analysers to provide a method for simultaneous clustering of subjects and multivariate discrete outcomes. The joint clustering is performed through a suitable reparameterization of the outcome (column)-specific parameters. We develop an expectation–maximization-type algorithm for maximum likelihood parameter estimation where the maximization step is divided into orthogonal sub-blocks that refer to row and column-specific parameters, respectively. Model performance is evaluated via a simulation study with varying sample size, number of outcomes and row/column-specific clustering (partitions). We compare the performance of our model with the performance of standard model-based biclustering approaches. The proposed method is also demonstrated on a benchmark data set where a multivariate binary response is considered.