Identifying technically efficient fishing vessels: a non‐empty,minimal subset approach

Stochastic frontier models are often employed to estimate fishing vessel technical efficiency. Under certain assumptions, these models yield efficiency measures that are means of truncated normal distributions. We argue that these measures are flawed, and use the results of Horrace ( 2005 ) to estimate efficiency for 39 vessels in the Northeast Atlantic herring fleet, based on each vessel's probability of being efficient. We develop a subset selection technique to identify groups of efficient vessels at pre‐specified probability levels. When homogeneous production is assumed, inferential inconsistencies exist between our methods and the methods of ranking the means of the technical inefficiency distributions for each vessel. When production is allowed to be heterogeneous, these inconsistencies are mitigated. Copyright © 2007 John Wiley & Sons, Ltd.     

Drainwater Management for Salinity Mitigation in Irrigated Agriculture

Salinity and drainage management options include source control, reuse, and evaporation ponds. This article identifies efficient strategies to maintain hydrologic balance in closed drainage basins and evaluates their impact on regional agricultural profits. Theoretical analysis suggests that economic efficiency requires acknowledgment of the nonseparability between water use and land value. Empirically, our solution involves a modest amount of source control, a substantial amount of reuse, and the elimination of evaporation ponds often associated with large environmental damages, while maintaining grower income. Various policy instruments and options are introduced and discussed, including a system of drainwater charges, marketable permits, and land retirement.     

On the equivalence of location choice models: Conditional logit, nested logit and Poisson

It is well understood that the two most popular empirical models of location choice - conditional logit and Poisson - return identical coefficient estimates when the regressors are not individual specific. We show that these two models differ starkly in terms of their implied predictions. The conditional logit model represents a zero-sum world, in which one region’s gain is the other regions’ loss. In contrast, the Poisson model implies a positive-sum economy, in which one region’s gain is no other region’s loss. We also show that all intermediate cases can be represented as a nested logit model with a single outside option. The nested logit turns out to be a linear combination of the conditional logit and Poisson models. Conditional logit and Poisson elasticities mark the polar cases and can therefore serve as boundary values in applied research.     

A Performance Comparison Between Cross-Sectional Stochastic Dominance and Traditional Event Study Methodologies

In this study, the performance of cross-sectional stochastic dominance (SD), first proposed by Falk and Levy (FL) (1989), is compared with three traditional event study methodologies: the Mean Adjusted model, the Market Adjusted model, and the Market and Risk Adjusted Returns model. The comparison technique we use is a simulations approach similar to that of Brown and Warner (BW) (1980). BW show that the Mean Adjusted and Market Adjusted Returns models perform as well as the more sophisticated Market and Risk Adjusted Returns model. FL, however, provide a very compelling argument against the three traditional event study methodologies. The problem, they note, is not the theoretical need for risk adjustment; it is the definition and measurement of risk. FL assert that the observed abnormal returns (or lack thereof) may be due to omitted variables, a market proxy effect, or other specification errors in implementing the traditional event study methodologies.The present research finds that SD analysis without the bootstrap method for statistical testing is not very useful at any level of abnormal return. However, when the bootstrap method of statistical testing is employed, SD is found to perform as well as, and sometimes better than, the three traditional models in detecting simulated abnormal performance at all test levels. The results are consistent with FL's assertion that the improved performance may result from the SD methodology being free from the specification errors inherent in the three traditional event study models.     

Triggers for virtual customer integration in the development of medical equipment — From a manufacturer and a user's perspective

Virtual customer integration (VCI) involves customers throughout all stages of the new product development process. Firms across industries have started to experiment with virtual user integration and expect to utilize their knowledge, creativity, and judgment. However, little research exists that looks at the motivations of customers and managers to engage in virtual product development projects. In this paper we try to identify the triggers for virtual customer integration (VCI) from the manager's as well as from the customer's perspective. Using Ajzen's Theory of Planned Behavior we aim at explaining managers' motivation for the adoption of VCI based on a sample of 104 managers engaged in the product development process of manufacturing firms of medical technology. Drawing on motive research, we test six categories of customer motivations to engage in VCI projects on a sample of 105 users of medical technology. The results show that for mangers subjective norms and attitude predict the intention to use VCI. For customers, interest in innovation and product improvement are the most important drivers, whereas monetary compensation and prestige are not significant, and surprisingly the desire to help people even has a negative impact on the participation of VCI.     

Let's reach all of the market for health administration education: design, development, and delivery issues in distance delivery

Web-based distance learning is an up and coming form of education. Web-based education delivered via a Web browser through the Internet has been found to be less expensive, more efficient, and sometimes more effective than classroom training. In the distance learning environment, the traditional "lecture and chalkboard" classroom pedagogy is completely absent. The virtual classroom becomes an "active learning" environment in which students, while utilizing technology, are able to discuss health administration concepts, analyze cases, work exercises, and discuss and share these interactively with both the instructor and fellow classmates. This method of Health Administration Education encourages students to learn from each other and promotes the open exchange of ideas and experiences. It does not require working students to put their careers on hold while they continue their studies. In this paper, we explore the opportunities and challenges of delivering web-based Health Administration courses via the Internet. Included is a discussion of the design, development, and delivery of a distance learning, web-based Health Administration Education system.     

THE EFFECT OF FDICIA REGULATION ON BANK HOLDING COMPANIES

We examine market reactions to legislative announcements surrounding the passage of the Federal Deposit Insurance Corporation Improvement Act (FDICIA) of 1991. Research shows that bank regulation adversely affects shareholder wealth on the one hand, yet often provides government subsidies on the other. The removal of Federal regulators' discretionary authority and the imposition of mandatory regulations in the FDICIA have an overall negative effect on our sample of bank holding companies. The results are consistent with either the costly regulation hypothesis or the decreased subsidies hypothesis.