Abstract
To analyze the temporal variation of spatial spillover effects as well as control unobserved individual-specific features, we extend the fixed effects spatial panel data model by introducing time-varying spatial dependence. We propose a two-stage least squares (2SLS) method and a quasi-maximum likelihood estimator (QMLE). Monte Carlo simulations indicate the two methods perform well.
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