Generalized Yule–Walker estimation for spatio-temporal models with unknown diagonal coefficients
未知对角系数时空模型的广义 Yule–Walker 估计
We consider a class of spatio-temporal models which extend popular econometric spatial autoregressive panel data models by allowing the scalar coefficients for each location (or panel) different from each other. To overcome the innate endogeneity, we propose a generalized Yule–Walker estimation method which applies the least squares estimation to a Yule–Walker equation. The asymptotic theory is developed under the setting that both the sample size and the number of locations…