The paper introduces a spatial decomposition of the Gini coefficient that supports the detection of spatial autocorrelation conjointly with an indicator of overall inequality. An additive pairwise decomposition based on a spatial weights matrix partitions inequality between observations that are...

Hedonic models in environmental valuation studies have grown in terms of number of transactions and number of explanatory variables. We focus on the practical challenge of model reduction, when aiming for reliable parsimonious models, sensitive to omitted variable bias and multicollinearity. We...

<Para ID="Par1">Different fundamental methodological spatial econometric issues are discussed not yet addressed by the existent empirical literature on FDI and third country effects that explains why it has failed to find results consistent with formal theory. This is demonstrated by taking the baseline spatial...</para>

Recent developments in spatial econometrics have been devoted to spatio-temporal data and how spatial panel data structure should be modeled. Little effort has been devoted to the way one must deal with spatial data pooled over time. This paper presents the characteristics of spatial data pooled...

In this note, we compare three test statistics that have been suggested to assess the presence of spatial error autocorrelation in probit models. We highlight the differences between the tests proposed by Pinkse and Slade (J Econom 85(1):125–254, <CitationRef CitationID="CR13">1998</CitationRef>), Pinkse (Asymptotics of the Moran test...</citationref>