This paper proposes a generalized panel data model with random effects and first-order spatially autocorrelated residuals that encompasses two previously suggested specifications. The first one is described in Anselin’s (1988) book and the second one by Kapoor, Kelejian, and Prucha (2007). Our...

One important goal of this study is to develop a methodology of inference for a widely used Cliff-Ord type spatial model containing spatial lags in the dependent variable, exogenous variables, and the disturbance terms, while allowing for unknown heteroskedasticity in the innovations. We first...

This paper provides a method for the analysis of the spatial and temporal diffusion of shocks in a dynamic system. We use changes in real house prices within the UK economy at the level of regions to illustrate its use. Adjustment to shocks involves both a region specific and a spatial effect....

The volatility of unanticipated output growth in income per capita is detrimental to long-run development, controlling for initial income per capita, population growth, human capital, investment, openness and natural resource dependence. This effect is significant and robust over a wide range of...

Brunnschweiler and Bulte (2008) provide cross-country evidence that the resource curse is a “red herring” once one corrects for endogeneity of resource exports and allows resource abundance affect growth. Their results show that resource exports are no longer significant while the value of...

Brunnschweiler and Bulte (2008) provide cross-country evidence that the resource curse is a “red herring” once one corrects for endogeneity of resource exports and allows resource abundance affect growth. Their results show that resource exports are no longer significant while the value of...

The volatility of unanticipated output growth in income per capita is detrimental to long-run development, controlling for initial income per capita, population growth, human capital, investment, openness and natural resource dependence. This effect is significant and robust over a wide range of...

This paper provides an overview of the recent literature on estimation and inference in large panel data models with cross-sectional dependence. It reviews panel data models with strictly exogenous regressors as well as dynamic models with weakly exogenous regressors. The paper begins with a...

The purpose of this paper is to apply recent advances in the econometrics of panel data to a problem that has a clear spatial dimension. We model the dynamic adjustment of real house prices using data at the level of US States. In the last decade, in most OECD countries there has been a...

We describe a model that integrates a multi-regional input-output model of the U.S. (50 states and the District of Columbia) with the national highway network. Interstate commodity shipments are placed on a congestible highway network. Simulations of major choke-point disruptions redirect...