The authors develop a Bayesian approach to calibration which enables the incorporation of uncertainty regarding the parameters of the theoretical model under investigation. Their procedure involves the specification of prior distributions over parameter values, which in turn induce distributions...

The paper describes a relative entropy procedure for imposing restrictions on simulated forecast distributions from a variety of models. Starting from an empirical forecast distribution for some variables of interest, the technique generates a new empirical distribution that satisfies a set of...

In DeJong and Whiteman (1991a), the authors concluded that 11 of the 14 macroeconomic time-series originally studied by Nelson and Plosser (1982) supported trend-stationarity. Phillips (1991) criticizes this inference, claiming that their procedure is biased against integration, and that their...

This paper designs and implements a Bayesian dynamic latent factor model for a vector of data describing the Iowa economy. Posterior distributions of parameters and the latent factor are analyzed by Markov chain Monte Carlo methods, and coincident and leading indicators are computed by using...