Skip to main content

SERC/Urban and Spatial Programme Discussion Paper

Estimating and Forecasting with a Dynamic Spatial Panel Data Model


This paper focuses on the estimation and predictive performance of several estimators for the dynamic and autoregressive spatial lag panel data model with spatially correlated disturbances. In the spirit of Arellano and Bond (1991) and Mutl (2006), a dynamic spatial GMM estimator is proposed based on Kapoor, Kelejian and Prucha (2007) for the Spatial AutoRegressive (SAR) error model. The main idea is to mix non-spatial and spatial instruments to obtain consistent estimates of the parameters. Then, a linear predictor of this spatial dynamic model is derived. Using Monte Carlo simulations, we compare the performance of the GMM spatial estimator to that of spatial and non-spatial estimators and illustrate our approach with an application to new economic geography.


Badi H. Baltagi, Bernard Fingleton and Alain Pirotte

3 November 2011     Paper Number SERCDP0095

Download PDF - Estimating and Forecasting with a Dynamic Spatial Panel Data Model

This SERC/Urban and Spatial Programme Discussion Paper is published under the centre's Urban programme.