The software for spatial econometrics available in the R system for statistical computing is
reviewed. The methods are illustrated in a historical perspective, highlighting the main lines …

xsmle is a new user-written command for spatial analysis. We consider the quasi–maximum
likelihood estimation of a wide set of both fixed-and random-effects spatial models for …

We study entrepreneurship and growth through the lens of US cities. Initial entrepreneurship
correlates strongly with urban employment growth, but endogeneity bedevils interpretation …

Recent advances in the implementation of spatial econometrics model estimation
techniques have made it desirable to compare results, which should correspond between …

Degraded pasture is a major liability in Brazilian agriculture, but restoration and recovery
efforts could turn this area into a new frontier to both agricultural yield expansion and forest …

Many theories in the social sciences predict spatial dependence or the similarity of
behaviors at neighboring locations. Spatial Analysis for the Social Sciences demonstrates …

Maximum Likelihood and Generalized Spatial Two-Stage Least-Squares Estimators for a
Spatial-Autoregressive Model with Spatial-Au Page 1 The Stata Journal (2013) 13, Number 2 …

We present the spmat command for creating, managing, and storing spatial-weighting
matrices, which are used to model interactions between spatial or more generally cross …

Past applications of spatial regression models have frequently interpreted the parameter
estimates of models that include spatial lags of the dependent variable incorrectly. A …

Sectors contribute differently to the total level of CO 2 emissions per capita, since they are
heterogeneous in terms of GDP structure. This work investigates the Environmental Kuznets …