The relation between macroeconomic fundamentals and the cross section of asset returns is studied through the lens of dynamic stochastic general equilibrium (DSGE) models. We provide a full-information Bayesian estimation of the model using seven macroeconomic variables and extract the time series of three fundamental shocks to the economy for the period of 1966Q1-2010Q3: neutral technology (NT...

We study how total factor productivity (TFP), energy prices, and the Great Moderation are linked. First we estimate a joint stochastic process for the energy price and TFP and establish that until the second quarter of 1982, energy prices negatively affected productivity. This spillover has since disappeared. Second, we show that within the framework of a dynamic stochastic general equilibrium ...

This Paper describes a procedure for constructing theory restricted prior distributions for BVAR models. The Bayes Factor, which is obtained without any additional computational effort, can be used to assess the plausibility of the restrictions imposed on the VAR parameter vector by competing DSGE models. In other words, it is possible to rank the amount of abstraction implied by each DSGE mode...

We study how total factor productivity (TFP), energy prices and the great moderation are linked. First, we estimate a joint stochastic process for the energy price and TFP and establish that until 1982:II, energy prices negatively affected productivity. This spill-over has since disappeared. Second, we show that within the framework of a Dynamic Stochastic General Equilibrium (DSGE) model, the ...

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...

In this paper we describe a numerical solution of the consumer's life-cycle problem based on value function iteration. The advantage of our approach is that it retains the versatility of the value function iteration approach and achieves a high degree of accuracy without resorting to the very computationally burdensome task of calculating a very "ne grid. There are two innovations, the "rst is ...