Abstract This paper investigates the sensitivity of hedonic models of house prices to the spatial interpolation of measures of air quality. We consider three aspects of this question: the interpolation technique used, the inclusion of air quality as a continuous vs discrete variable in the...

Abstract In many spatial applications, agents make discrete choices (e.g. operating or product-line decisions), and applied researchers need econometric techniques that enable them to model such situations. Unfortunately, however, most discrete-choice estimators are invalid when variables and/or...

Abstract Regional convergence of German labour markets represents a politically important question. Different studies have examined convergence processes in Germany. We derive equations to estimate the speed of convergence on the basis of an extended Solow model. The technique of geographically...

Abstract Here we attempt to advance the understanding of the impact of co-locative factors on regional innovation performance. The objectives are to answer what role co-location plays in explaining differences in regional innovation performance and what methodological improvements can compensate...

Abstract This paper sheds empirical light on the relationship between agglomeration and economic growth and its impact on the convergence hypothesis. Using a sample of 208 European regions over 25 years, ‘standard’ growth regressions are estimated using panel data techniques. Both the effect...

Abstract A spatial vector autoregressive model (SpVAR) is defined as a VAR which includes spatial as well as temporal lags among a vector of stationary state variables. SpVARs may contain disturbances that are spatially as well as temporally correlated. Although the structural parameters are not...

Abstract This paper proposes a new generalized method of moments (GMM) estimator for spatial panel models with spatial moving average errors combined with a spatially autoregressive dependent variable. Monte Carlo results are given suggesting that the GMM estimator is consistent. The estimator...

Abstract Verdoorn's law is estimated in a spatial econometric framework for individual manufacturing industries using EU regional data. Estimates of encompassing returns to scale are large, but other explanatory variables, including measures of industrial specialization and diversity, tend to be...

Abstract This paper employs spatial econometrics techniques to estimate the impact of bankruptcy regulation on small firm formation. The estimation of the model is computationally challenging due to the joint appearance of a lagged endogenous variable and the unobserved heterogeneity which...

Abstract Kelejian (2008) introduces a J-type test for the situation in which a null linear regression model, Model0, is to be tested against one or more rival non-nested alternatives, Model1, …, Model g , where typically the competing models possess endogenous spatial lags and spatially...