A new frontier for health care risk management

Today's sophisticated medical environment, combined with society's penchant for litigation, has created a broad array of perils for risk managers in the health care industry. Risk managers must deal with dilemmas posed by regulatory and technological changes that have vastly altered the medical field.     

Ethical encounters of the second kind

When our society holds widely shared norms and values, we can agree on what constitutes unethical business practices. To the extent our social consensus is unraveling, agreement becomes increasingly problematic. Unfortunately, mainstream Western moral philosophy offers no guidance in this situation. We must therefore begin to focus on the types of social relationships that must exist for there to be agreement on what is right, good and just. This line of argument is, at best, merely suggested in discussions and articles on business ethics. Jonathan B. King is Associate Professor of Managment at the College of Business at Oregon State University. He received his B.A. in philosophy from Antioch College (1965); subsequently served for eight years as an officer in the United States Navy; received his M.B.A. (1975) and Ph.D. (1980) in Business, Government and Society from the University of Washington. His primary research interests are in the areas of epistemology and moral philosophy — e.g., the contribution of the liberal arts to interpretive thought, the sociology of moral knowledge, and the organizational distortion of information. His most important publications are: Teaching Business Ethics, Exchange1984 and A Case for the Humanities Perspective, Organizational Behavior Teaching Journal1984     

Timing and duration effects in residence histories and other longitudinal data: II. Studies of duration effects in Norway, 1965-1971

The main results of eleven studies of the nature and determinants of the timing of moves and duration of residence effects are presented. The studies (see table 1) illustrate the use of the methodological framework for studying individual histories of the previous article. There are substantial duration of residence effects in most population subgroups, implying that the migration process in non-Markovian at the mocro level and that the semi-Markov model is required. However, characterization of effects and their determinants are shown to depend so heavily on the type of interval and observation scheme used, that only within a comprehensive framework is proper interpretation of empirical results possible.     

An efficient nonparametric estimator for models with nonlinear dependence

We provide a convenient econometric framework for the analysis of nonlinear dependence in financial applications. We introduce models with constrained nonparametric dependence, which specify the conditional distribution or the copula in terms of a one-dimensional functional parameter. Our approach is intermediate between standard parametric specifications (which are in general too restrictive) and the fully unrestricted approach (which suffers from the curse of dimensionality). We introduce a nonparametric estimator defined by minimizing a chi-square distance between the constrained densities in the family and an unconstrained kernel estimator of the density. We derive the nonparametric efficiency bound for linear forms and show that the minimum chi-square estimator is nonparametrically efficient for linear forms.     

Hölder continuity of the policy function approximation in the value function approximation

We show that given a value function approximation V of a strongly concave stochastic dynamic programming problem (SDDP), the associated policy function approximation is Hölder continuous in V.     

The topography of metropolitan employment: Identifying centers of employment in a polycentric urban area

While it is well recognized that US metropolitan areas are polycentric, there is little consensus as to the appropriate method for identifying concentrations of employment within them. Existing methods suffer from strong assumptions about parametric form, misspecification, or reliance on local knowledge to calibrate model parameters. This paper introduces a new nonparametric method for identifying subcenters. Results indicate that this, more flexible, nonparametric approach yields greater accuracy with regard to both urban and suburban centers compared with other approaches. This approach should provide better data for the numerous topics that depend on the spatial accounting of employment within metropolitan areas.