In this paper we determine the effect of transport cost on commuting flows, on the basis of an analysis of home-to-work journeys between municipalities in Denmark. Special attention is given to a proper estimation method and the form of the distance-decay function. It appears that neither an...

Many kinds of data in the social sciences have a hierarchical, multilevel or clustered structure. For example, municipalities are grouped into regions; regions are formed within countries; and quite often, countries belong to supra-national organizations. Once groupings are established, they...

Heterogeneity is one of the distinguishing features in spatial econometric models. It is a frequent problem in applied work and can be very damaging for statistical inference. In this paper, we focus on the problems implied by the existence of instabilities in the mechanism of spatial dependence...

We argue that identification problems bedevil most applied spatial research. Spatial econometrics solves these problems by deriving estimators assuming that functional forms are known and by using model comparison techniques to let the data choose between competing specifications. We argue that...

This paper addresses the development of a statistical model for spatial data collected over time, such as real estate data. A spatio-temporal autoregressive (STAR) model, based on spatial and temporal weight matrices, is proposed. The spatial and temporal weight matrices are used to develop...

La teoría que explica la violencia homicida es nutrida. Algunas corrientes apuntan a causas objetivas, como la pobreza y las condiciones sociales, mientras otras proponen que la causan las empresas criminales. En el presente artículo se realiza un análisis espacial de la violencia utilizando...

We suggest and compare different methods for estimating spatial autoregressive panel models with randomly missing data in the dependent variable. We start with a random effects model and then generalize the model by introducing the spatial Mundlak approach. A nonlinear least squares method is...

In this paper, we consider the Cox-type tests of non-nested hypotheses for spatial autoregressive (SAR) models with SAR disturbances. We formally derive the asymptotic distributions of the test statistics. In contrast to regression models, we show that the Cox-type and J-type tests for...

This paper offers a personal view on recent developments in the field of spatial econometrics. The approach is subjective and certainly biased. I focus on three issues that I consider of the utmost importance and which are at the basis of the discipline, namely spatial causality, the question of...

What do foreign companies take into account when they invest in Russian food industry enterprises? The sample of about 5000 enterprises of the food industry from different Russian regions is analyzed to give the answer to this question. The most interesting points for the investigation are...