Large volumes of spatio-temporal data are increasingly collected and studied in diverse
domains, including climate science, social sciences, neuroscience, epidemiology …

This paper surveys the measurement of trade costs: what we know and don't know but may
usefully attempt to learn. Partial and incomplete data on direct measures of costs go with …

Analyses of spatial or network data are now very common. Yet statistical inference is
challenging since unobserved heterogeneity can be correlated across neighboring …

We provide a comprehensive overview of the strengths and weaknesses of different spatial
econometric model specifications in terms of spillover effects. Based on this overview, we …

Agricultural training is a potentially effective method to diffuse relevant new technologies to
increase productivity and alleviate rural poverty in Sub-Saharan Africa (SSA). However …

O objetivo da disciplina é apresentar a teoria da econometria espacial, que representa o
subcampo da econometria que leva em conta na estratégia empírica a influência da …

This paper places the key issues and implications of the new 'introductory'book on spatial
econometrics by James LeSage & Kelley Pace (2009) in a broader perspective: the …

Although interest in spatial regression models has surged in recent years, a comprehensive,
up-to-date text on these approaches does not exist. Filling this void, Introduction to Spatial …

It is well known that the standard Breusch and Pagan (1980) LM test for cross-equation
correlation in a SUR model is not appropriate for testing cross-sectional dependence in …

This paper provides a survey of the existing literature on the specification and estimation of
dynamic spatial panel data models, a collection of models for spatial panels extended to …