This paper argues that the reason that the DSGE model, which has proved so successful in convincing academic economists of its value, has made relatively few inroads into the undergraduate teaching sphere is that it fails to allow for the development of higher order educational objectives in students. The qualities which make it attractive to academics, such as the purity of its assumptions and...

We outline in turn criticisms made by econometricians of the methods used in empirical business-cycle research and then criticisms made by business-cycle researchers of some methods used by econometricians. The aim is to clarify and in some cases correct these criticisms. Overall there is no conflict in using rigourous statistical procedures to study modern dynamic stochastic general equilibriu...

We consider Bayesian estimation of state space models when the measurement density is not available but estimating equations for the parameters of the measurement density are available from moment conditions. The most common applications are partial equilibrium models involving moment conditions that depend on dynamic latent variables (e.g., timevarying parameters, stochastic volatility) and dy...

This paper develops a dynamic general equilibrium matching model with many types of long-lived workers, many types of jobs and stochastic transitions between many possible aggregate productivity states. The supply of new jobs is determined by free entry, matching is directed, wages are determined by auction and workers can continue to search on-the-job for better employment opportunities. We sh...

Abstract : In this paper , we apply the stochastic dynamic programming to approximate the mean project completion time in dynamic Markov PERT networks. It is assumed that the activity durations are independent random variables with exponential distributions, but some social and economical problems influence the mean of activity durations. It is also assumed that the social problems evolve in ac...