Bayesian Method of Moments (bmom) Analysis of Parametric and Semiparametric Regression Models

نویسنده

  • Hang K. Ryu
چکیده

The Bayesian Method of Moments is applied to semiparametric regression models using alternative series expansions of an unknown regression function. We describe estimation loss functions, predictive loss functions and posterior odds as techniques to determine how many terms in a particular expansion to keep and how to choose among diierent types of expansions. The developed theory is then applied in a Monte-Carlo experiment to data generated from a CES production function.

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تاریخ انتشار 1997