A penalized instrumental-variable estimator for dynamic spatial autoregressive models with multiple, time-varying spatial weight matrices is shown to have oracle properties and to give consistent change point detection.
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Inference on Dynamic Spatial Autoregressive Models with Change Point Detection
A penalized instrumental-variable estimator for dynamic spatial autoregressive models with multiple, time-varying spatial weight matrices is shown to have oracle properties and to give consistent change point detection.