For testing lack of correlation against spatial autoregressive alternatives, Lagrange multiplier tests enjoy their usual computational advantages, but the (X2) first-order asymptotic approximation to critical values can be poor in small samples. We develop refined tests for lack of spatial error...

Based on research commissioned by the Gatsby Foundation, this report examines the impact of the new systems of vocational qualifications and provoked a lively debate in the letters pages of the Financial Times.

An edited version of a major one day conference hosted by the Centre for Economic Performance ahead of the Birmingham G8 Summit in May. Contributors include:Rt Hon. David Blunkett, Secretary of State for Education and Employment; Jacques Delors, Rosabeth Moss Kanter, Harvard Business School; and...

Robinson raises a series of questions about the Government's priorities, challenging the key policies of target-setting and raising average achievement. (The Times). This report, which attracted much media coverage, examines many of the commonly held assumptions about educational standards in...

We consider the estimation of parametric models for stationary spatial or spatio-temporal data on a d-dimensional lattice, for d = 2. The achievement of asymptotic efficiency under Gaussianity, and asymptotic normality more generally, with standard convergence rate, faces two obstacles. One is...

We consider cross-sectional data that exhibit no spatial correlation, but are feared to be spatially dependent. We demonstrate that a spatial version of the stochastic volatility model of financial econometrics, entailing a form of spatial autoregression, can explain such behaviour. The...

Tourism studies at Masters level are often divided into subsets of tourism such as environmental tourism, rural tourism and sports tourism. This book provides an overview of types of tourism, and common themes studied in courses to allow undergraduate students to become familiar with a wide...