In this paper the problems of specification and nonnested model comparison in spatial and network econometrics are examined, and the Bayesian posterior probabilities approach is developed. The theory is developed for the comparison of alternative spatial weights matrices in both the systematic and the disturbance components of models, and also for the comparison of alternative spatial disturbance processes. Several empirical illustrations are provided, and extensions of the Bayesian approach are discussed.

No abstract

In response to a paper by T J Barnes, published in 1998, the author accepts the same social-constructivist perspective, but argues that the structure of regression was not excessively constrained by its biometric origins. The history of regression and its use in the social sciences is examined, and the author argues that any assessment of regression in human geography must be set against this wider context.

No abstract

No abstract