Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
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.