The Economics and Financing of Hospitals in Australia

The Australian hospital industry is described and it is noted that the term ‘hospital’ is applied to a wide range of institutions. The main problems and issues associated with hospitals are discussed, including the lack of adequate methods of measuring their ‘products’ and of allocating funds to them. The role of the medical staff in influencing the ‘demand’ for hospital beds and in resource allocation is emphasised as a major influence on hospital behaviour. In a study of the determinants of the costs of Victorian public hospitals it was found that the complexity of the case-mix as measured by diagnosis related groups (DRGs) was a major determinant of teaching hospital costs but not of those of other large hospitals. DRG-based funding and costing of hospitals is recommended as a strategy for achieving increased efficiency.     

Neuroeconomics: Why Economics Needs Brains

Neuroeconomics uses knowledge about brain mechanisms to inform economic theory. It opens up the “black box” of the brain, much as organizational economics opened up the theory of the firm. Neuroscientists use many tools—including brain imaging, behavior of patients with brain damage, animal behavior and recording single neuron activity. The key insight for economics is that the brain is composed of multiple systems which interact. Controlled systems (“executive function”) interrupt automatic ones. Brain evidence complicates standard assumptions about basic preference, to include homeostasis and other kinds of state‐dependence, and shows emotional activation in ambiguous choice and strategic interaction.     

E-Business Transformation via Alliance Clusters

The number of firms using alliances as part of their corporate venturing or market entry strategies has surged over the past decade. Three common reasons cited for pursuing alliances are technology convergence, market access and alliance partners' complementary resources. This paper contrasts the alliance strategies of HP and IBM, two major competitors in electronic services (i.e. Internet-based 'e- service') businesses, using the Familiarity Matrix as a display tool to portray the strategies. Whereas the HP strategy is to attempt to establish its technology infrastructure as the standard e-services infrastructure on the Internet, IBM aims to position its IBM Global Services, rather than its technology, at the center of this ecosystem.     

Simulating the Evolution of the Implied Distribution

Motivated by the implied stochastic volatility literature (Britten–Jones and Neuberger, forthcoming; Derman and Kani, 1997; Ledoit and Santa–Clara, 1998) this paper proposes a new and general method for constructing smile–consistent stochastic volatility models. The method is developed by recognising that option pricing and hedging can be accomplished via the simulation of the implied risk neutral distribution. We devise an algorithm for the simulation of the implied distribution, when the first two moments change over time. The algorithm can be implemented easily, and it is based on an economic interpretation of the concept of mixture of distributions. It can also be generalised to cases where more complicated forms for the mixture are assumed.     

Worker separations in a nonstationary corporate environment

Assessing ten years of unique personnel data from a large firm, this paper investigates how determinants of worker turnover differ between periods of corporate expansion and decline. Performance and career progress considerably reduce the hazard of job separation during downsizing for blue-collar workers, but are less important for white-collar workers. Effects of firm-tenure, occupation, education, training, part-time status, and gender are largely in accordance with the implications from existing models. But no model generates all patterns observed in the data. Age effects are sensitive to retirement options and discontinuous, dropping in response to the anticipation of becoming eligible for early retirement during downsizing and jumping at the actual retirement age.     

Allocating an advertising budget to international travel markets

Deciding on advertising appropriations is a common problem to all National Tourist Offices. The Austrian National Tourist Office now employs a decision support model allowing for inclusion of managerial judgments. In tourism, like elsewhere, application of standard optimization routines to marketing decision making is straight- forward, once the relationship linking market response to input has been modeled adequately. A tailor-made decision calculus procedure eliciting managerial judgments on the relative importance of the factors determining a receiving country's travel market share provides the weights otherwise inaccessible by objective parameter estimation. A tourism manager thus can evaluate countries as tourism generators and allocate an advertising budget accordingly.     

Economic Development Indicators as Determinants of Medal Winning at the Sydney Olympics: An Extreme Bounds Analysis

This paper examines the variables that determine the performance of countries at the Olympic Games as measured by a weighted sum of the medals won at the Sydney 2000 Games. While previous studies have identified the importance of a country's economic size and the resources available to sport, this paper examines nine more variables including the number of athletes representing each nation and some development indicators. Based on 2310 regressions, both traditional and restricted extreme bounds analysis show that only two variables are robust: the number of athletes and national expenditure on health. Thus, the final model recognises four explanatory variables that include these two as well as GDP and population.     

MODELING THE TERM STRUCTURE FROM THE ON‐THE‐RUN TREASURY YIELD CURVE

We propose a new model to estimate the term structure of interest rates using observed on‐the‐run Treasury yields. The new model is an improvement over models that require a priori knowledge of the shape of the yield curve to estimate the term structure. The general form of the model is an exponential function that depends on the estimation of four parameters fit by nonlinear least squares and has straightforward interpretations. In comparing the proposed model with current yield‐curve‐smoothing models, we find that, for the data used, the proposed model does best overall in terms of pricing accuracy both in sample and out of sample. JEL classification: E43, G12