Abstract A spatial vector autoregressive model (SpVAR) is defined as a VAR which includes spatial as well as temporal lags among a vector of stationary state variables. SpVARs may contain disturbances that are spatially as well as temporally correlated. Although the structural parameters are not...

Abstract The spatial Durbin model occupies an interesting position in the field of spatial econometrics. It is the reduced form of a model with cross-sectional dependence in the errors and it may be used as the nesting equation in a more general approach of model selection. Specifically, in this...

Abstract Spanish internal migration has long been resistant to traditional economic explanations. However, this paper examines the data for the period 1999–2006 after considerable changes in the Spanish economy. Moreover, it examines migration at the disaggregated level of Spanish provinces...

Abstract The aim of this paper is to show how the spatial autocorrelation phenomenon often observed in the world distribution of income per capita, can be introduced structurally as the outcome of spillovers effects into a development accounting equation. Neglecting spatial autocorrelation...

Abstract In this paper, we make multi-step forecasts of the annual growth rates of the real GDP for each of the 16 German Länder simultaneously. We apply dynamic panel models accounting for spatial dependence between regional GDP. We find that both pooling and accounting for spatial effects...

Abstract In this study we analyse the determinants of pig production location in Denmark with a particular focus on positive and negative agglomeration externalities. Based on the theory of agglomeration and a discussion of the organization of the Danish pig production sector, a model of pig...

Abstract While estimation methods for dynamic panel data and spatial econometric models are standard in economic literature, there has been a relatively recent development in methods which include spatial considerations in dynamic panel data models. This paper proposes two estimation strategies...

Abstract An important infrastructure policy issue for rapidly growing cities in developing countries is how to raise fiscal revenues to finance basic services in a fair and efficient manner. This requires estimates of the potential benefits or positive welfare effects that may follow from...

Abstract Kelejian (2008) introduces a J-type test for the situation in which a null linear regression model, Model0, is to be tested against one or more rival non-nested alternatives, Model1, …, Model g , where typically the competing models possess endogenous spatial lags and spatially...

Abstract New Economic Geography presents increasing returns to agglomeration as a central explanation for concentration of economic activity. The estimation of the size of these effects remains, however, a standing issue in the field. The focus of this study is to investigate the presence of...