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Categorical semiparametric varying-coefficient models (replication data)
Semiparametric varying-coefficient models have become a common fixture in applied data analysis. Existing approaches, however, presume that those variables affecting the... -
SPATIAL FILTERING, MODEL UNCERTAINTY AND THE SPEED OF INCOME CONVERGENCE IN E...
In this paper we put forward a Bayesian model averaging method aimed at performing inference under model uncertainty in the presence of potential spatial autocorrelation. The...
