Does Ethnic Discrimination Vary Across Minority Groups? Evidence from a Field Experiment*

We conduct a large‐scale field experiment to measure labour market discrimination in Australia, one quarter of whose population was born overseas. To denote ethnicity, we use distinctively Anglo‐Saxon, Indigenous, Italian, Chinese and Middle Eastern names. We compare multiple ethnic groups, rather than a single minority as in most other studies. In all cases we applied for entry‐level jobs and submitted a CV indicating that the candidate attended high school in Australia. We find significant differences in callback rates: ethnic minority candidates would need to apply for more jobs in order to receive the same number of interviews. These differences vary systematically across ethnic groups.     

Contingent Valuation Versus Choice Experiments: Estimating the Benefits of Environmentally Sensitive Areas in Scotland

This paper reports results from a study of the economic value of the conservation benefits of Environmentally Sensitive Areas (ESAs) in Scotland. The main novelty of the approach taken is in comparing two direct valuation methods, namely contingent valuation and choice experiments, to value these benefits. The Contingent Valuation Method (CVM) is well-established as a technique for valuing the sorts of landscape and wildlife enhancements associated with ESAs. The CVM experiment reported here uses a dichotomous choice format, and includes a new correction for part-whole bias. Choice experiments are much less used as an environmental valuation technique. We note several advantages of such experiments over CVM, and then report characteristic values and ‘programme values’ estimated using the method. This application brings to light some problems in applying the choice experiment method. Finally, we discuss the issue of benefits transfer in the context of these two approaches to valuation.     

Virtue: The Missing Ethics Element in Emotional Intelligence

Journal of Business Ethics - The Emotional Competency Inventory (ECI) framework of Daniel Goleman and Richard Boyatzis has gained significant impact in business leadership and management...     

A Nonlinear Model of the Term Structure of Interest Rates

We present an economically motivated two–factor term structure model that generalizes existing stochastic mean term structure models. By allowing a certain parameter to acquire dynamical behavior we extend the two–factor model to obtain a nonlinear three–factor model that is shown, in a deterministic version, to be equivalent to the Lorenz system of differential equations. With reasonable parameter values the model exhibits chaotic behavior. It successfully emulates certain properties of interest rates including cyclical behavior on a business cycle time scale. Estimation and pricing issues are discussed. Standard PCA techniques used to estimate HJM type models are observed to be equivalent to dimensional estimates commonly applied to 'spatial data' in nonlinear systems analysis.
It is concluded that techniques commonly used in the analysis of nonlinear systems may be directly applicable to interest rate models, offering new insights in the development of these models. Tests of nonlinearity in interest rate behavior may need to focus on long cycle times.     

Mapping and analysing virtual outcrops

Laser scanning is a very efficient way to generate realistic, high-resolution digital models of 3-D geological outcrops. This paper discusses the methodologies involved in the creation and analysis of virtual outcrops, based on laser scanner data. The visualisation of the laser scanner data as a photorealistic 3-D object is described. Geological features picked out on the virtual outcrop (e.g. fractures, faults or bedding planes) can be extrapolated outward, into space, and inward, into the subsurface, using tension surfaces.