Abstract
In this paper we consider a general class of weak parametric specifications in the poly-nomial distributed lag model. The classical and Bayesian estimations of the means of polynomial lags are derived without smoothness priors, with deterministic smoothness priors, and with probabilistic priors. Finally, using Almon's data, an illustrative application of the alternative estimators under various specifications about smoothness priors is provided.
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