Through a geographically weighted panel regression analysis, we demonstrate the spatially varying relationship between weather and corn yields. A balanced panel data of 958 U.S. corn production counties for the period 2002-2006 is used. The results indicate that the relationship between weather and corn yield has large spatial variability. In specific, temperature tends to have negative margina...

This paper investigates spatial panel data models with spatially and serially correlated disturbances. We …rst discuss the short panels and consider their estimation by both …xed e¤ects and random e¤ects speci…cations. With a between equation properly de…ned, the di¤erence of the random vs. …xed e¤ects models can be highlighted. We show that the random e¤ects estimate is a pooling of the within...

This paper studies the long-run convergence of per-capita GDP across European regions. Most of the empirical works in this area are based on either cross-sectional or a-spatial panel data xed-e ects estimates. Here, we propose the use of panel data econometrics models that incorporate an explicit consideration of spatial dependence e ects (Anselin, 1988; Elhorst, 2001; 2003). This allows us to ...

xsmle is a new command for spatial analysis using Stata. We consider the quasi-maximum likelihood estimation of a wide set of both fixedand randomeffects spatial models for balanced panel data. Of special note is that xsmle allows to handle unbalanced panels thanks to its full compatibility with the mi suite of commands, to use spatial weight matrices in the form of both Stata matrices and spma...

A spatial dynamic panel data approach is adopted to study regional growth convergence in the U.S. economy. In the neoclassical growth model, regions and countries are assumed to be independent from each other, which may not be valid in the real world. We introduce technological spillovers into the neoclassical framework, showing that the convergence rate is higher and there is spatial interacti...

splm is an R package for estimating and testing various spatial panel data specifications. We consider the implementation of both maximum likelihood and generalized moments estimators in the context of fixed as well as random effects spatial panel data models. This paper is a general description of splm and all functionalities are illustrated by application to Munnel (1990) data on 48 US States...