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Bayesian forecasting is a natural product of a Bayesian approach to inference. The Bayesian approach in general requires explicit formulation of a model, and conditioning on known quantities, in order to draw inferences about unknown ones. In Bayesian forecasting, one simply takes a subset of...
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Our goal in this chapter is to explain concretely how to implement simulation methods in a very general class of models …
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In recent years, major advances have taken place in three areas of random utility modeling: (1) semiparametric estimation, (2) computational methods for multinomial probit models, and (3) computational methods for Bayesian stimation. This paper summarizes these developments and discusses their...
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Family Credit element of the UK Social Security system using the simulation algorithm SPAIN (Simulation Program for the … Analysis of INcentives). In choosing an appropriate labour supply model to include in the simulation algorithm, the degree to … function is found to be a most suitable model for simulation, with virtually the entire sample of single parents satisfying the …
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