The impact of patient choice and waiting time on the demand for health care: results from the London Patient Choice project

In a number of countries where health care is publicly funded, policies to introduce greater patient choice are being implemented. In most cases patient choice is seen as an instrument to reduce waiting times for elective (non-emergency) hospital services. An important issue is whether facilitating greater patient choice will increase the demand for health care and thereby undermine the achievement of reduced waiting times. A large scale pilot of choice in the London metropolitan area permits a test of the hypothesis that choice will affect demand. This paper estimates a model of the demand for elective surgery using a panel of 150 English acute hospitals over the period 1995 to 2004 for three surgical specialties. It examines whether demand shifted following the introduction of the London Patient Choice Project in 2002. The results suggest that the choice project only shifted NHS inpatient demand in orthopaedics and that this shift was inwards.     

Realising competitive advantage through HRM in New Zealand service industries

An emerging source of competitive advantage for service industries is the knowledge, skills and attitudes of their employees. Indeed, achievement of a ‘service quality’ culture, considered imperative for competitive advantage in service organisations, supposedly results from the use of best practice human resource management (HRM), and from a strategic approach to their implementation. This paper empirically explores the use of these dimensions of HRM as a source of competitive advantage. It finds high-performing service organisations actively engage best practices across the areas of recruitment and selection, training and development, communication and team working. Evidence of a strategic approach to the implementation of these practices is also found.     

Integrating Quantitative and Qualitative Analysis Using Latent and Manifest Variables

The relative virtues of quantitative and qualitative research have been vigorously debated. Several researchers recommend combining methodologies but there is little evidence in the literature to suggest how different research methods might be integrated (Bryman, 1988). The current study addresses this deficiency in the research by examining the use of latent variables in quantitative and qualitative research as a means of blending the two approaches. A study of entrepreneurial Locus of Control where quantitative and qualitative data were available illustrates the methodological issues. Analysis of quantitative data was conducted using LISREL (7.20) and qualitative data were categorised using NUD.IST (Non-numerical Unstructured Data Indexing Searching and Theorising computer software). Detailed comparisons are made between the methods described in this paper and other approaches to content analysis.     

Canonical valuation and hedging of index options

Canonical valuation is a nonparametric method for valuing derivatives proposed by M. Stutzer (1996). Although the properties of canonical estimates of option price and hedge ratio have been studied in simulation settings, applications of the methodology to traded derivative data are rare. This study explores the practical usefulness of canonical valuation using a large sample of index options. The basic unconstrained canonical estimator fails to outperform the traditional Black–Scholes model; however, a constrained canonical estimator that incorporates a small amount of conditioning information produces dramatic reductions in mean pricing errors. Similarly, the canonical approach generates hedge ratios that result in superior hedging effectiveness compared to Black–Scholes‐based deltas. The results encourage further exploration and application of the canonical approach to pricing and hedging derivatives. © 2007 Wiley Periodicals, Inc. Jnl Fut Mark 27: 771–790, 2007     

Wheat stocks and the cointegration of wheat prices

We examine the effect of wheat stocks on the relationship between port and inland wheat prices in western Canada after the dissolution of the Canadian Wheat Board in 2012. Standard statistical tests find no evidence that the port price is cointegrated with inland prices. We argue that large harvests in 2013–2014 and 2014–2015 are responsible for this lack of cointegration. A simple theoretical model demonstrates how wheat stocks drive a wedge between inland and port prices. After including wheat stocks in the cointegrating vector, we find the expected cointegrating relationships between the port and inland prices. Using an error correction model, we show that a 10% increase in the wheat stocks reduces producer prices in Alberta and Manitoba by 6% and 4%, respectively. We conclude by discussing policy options for reducing the size of wheat stocks on the prairies.