Obtaining Management Profiles of Ontario Swine Producers Through Cluster Analysis

This paper develops managerial profiles of Ontario Swine Producers for extension use, using mail survey data and cluster analysis. Results indicate that there are four major discriminant variables which can be used to identify different classes of farmers. These management profiles can be used for targeted extension efforts.     

Do practice rounds affect experimental auction results?

Researchers use practice rounds to familiarize participants with experimental auction mechanisms. We find a positive correlation between practice bids and bids submitted in later rounds. We consider three explanations for this correlation: a behavioral anchoring effect, a tendency for some auction participants to be more free-spending, and misconception of the experimental auction’s demand revealing qualities.     

Data mining: proprietary rights, people and proposals

This article focuses on the issue of data mining as it relates to the consumer and to the issue of whether the consumer's private information has any proprietary status. A brief review of data mining is provided as a background for a better understanding of the purposes and uses of data mining. Also examined are several issues of the ethics of data mining, including a review of stakeholders, who they are and which may be most seriously affected by unethical data mining practices. Several suggestions for the improvement of data mining as it relates to the consumer are further presented: suggestions that would allow for data mining that would be beneficial to both the business community and the consumer.     

Authors’ Reply: Forecasting Social Security Actuarial Assumptions - Discussion by John A. Beekman; Cecil J. Nesbitt; Krzysztof M. Ostaszewski; Gregory Savord; Richard S. Foster,October 1997

Abstract

This study provides an economic analysis of life insurance company expenses and develops a methodology for the construction of benchmark expense factors. These benchmarks can facilitate the pricing of new business, cost control within companies, and expense comparisons among companies. We derive the expense factors by estimating a cost function wherein total general expenses are modeled as a function of input prices and physical outputs, and the physical outputs are proxies for the cost drivers of the different lines of business. This methodology has two important advantages: first, the derived expense factors are independent of the methods that insurers use in allocating total expenses across lines of business. Second, the estimated cost function explicitly accounts for different degrees of economies of scale and consequently in the present value of marginal expenses across insurers. Hence, this study demonstrates that economies of scale and, in turn, size must be considered when constructing an expense table.     

A Statistical Control Model for Utilization Management Programs

Abstract

A new approach is proposed for monitoring health-care costs to help in cost containment efforts. This informative essay is intended to provide information on and stimulate discussion of ways of improving the health-care management process.

Data that are being collected by insurers and providers could be used to analyze and improve the health-care process. New statistical techniques, and better, more consistent input of data, will be critical to successful utilization management programs. Necessary conditions for the success of the new methods are (1) diagnosis protocols that are “true gold standards,” (2) a satisfactory disease classification system, (3) meaningful and consistently coded data, and (4) statistical methodology that takes advantage of as much of the available data as possible. The hospital admissions process is illustrated to show the incorporation of an inexpensive statistical control process for reducing the incidence of unnecessary hospitalizations.     

An Assessment of the Psychometric Properties of the Perceived Stress Scale‐10 (PSS10) with Business and Accounting Students

Using a sample of 557 undergraduate business students from three U.S. comprehensive universities, this study examined: (a) the factor structure of the Perceived Stress Scale‐10 (PSS10; Cohen and Williamson, 1988); (b) the invariance of its factor structure; (c) the scale's reliability; and (d) its convergent and divergent validity. Confirmatory factor analyses supported a structure with two primary factors, General Distress and Ability‐to‐Cope, loading on a single second‐order factor, Perceived Stress. Furthermore, this model was confirmed for designated subpopulations including the 264 accounting majors who participated in the study. Notably absent in prior research, this study found two items, numbers 2 and 9, to load significantly on both the General Distress and Ability‐to‐Cope factors with men and the full sample, respectively. Item–total correlations, coefficient alphas, and Spearman‐Brown reliability coefficients supported the reliability of the items loading on the full scale as well as on each of the two primary factors. Combined, these findings provide compelling evidence in support of the PSS10 as a stress assessment measure for business students in general, and accounting students in particular. In fact, given its practical expediency in terms of administration and scoring, the PSS10 appears to be a tool that could be used by university administrators and potentially by human resource personnel at accounting and business organizations to assess student/employee perceived stress levels before the onset of burnout tendencies, thus facilitating more timely and cost‐effective intervention strategies.