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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… Click to show full abstract
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.
Keywords:
varying spatial;
spatial panel;
effects spatial;
panel data;
time varying;
fixed effects
Journal Title: Economics Letters
Year Published: 2020
Link to full text (if available)
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Journal Title: Economics Letters
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!