The single most crucial weakness of current macroeconometric modeling stems from the fact that modelers ‘quantify/estimate’ their structural modeldirectly, ignoring the fact that behind every structural model there is a statistical model whose validity vis-a-vis the data underwrites the...

The method of maximum likelihood is used to estimate a Dynamic Stochastic General Equilibrium business cycle model that combines elements of existing sticky-price and limited-participation specifications. Sticky prices are incorporated, following Rotemberg (1982), by assuming that...

This paper investigates the micro mechanisms by which monetary policy affects and is transmitted through the U.S economy, by developing a unified, dynamic, stochastic, general equilibrium model that nests two classes of models. The first sticky prices and the second limited participation....

The new generation of dynamic stochastic general equilibrium (DSGE) models seems particularly suited for conducting scenario analysis. These models formalise the behaviour of economic agents on the basis of explicit micro-foundations. As a result, they appear less prone to the Lucas critique...

The method of maximum likelihood is used to estimate a Dynamic Stochastic General Equilibrium business cycle model that combines elements of existing sticky-price and limited-participation specifications. Sticky prices are incorporated, following Rotemberg (1982), by assuming that...

The new generation of dynamic stochastic general equilibrium (DSGE) models seems particularly suited for conducting scenario analysis. These models formalise the behaviour of economic agents on the basis of explicit micro-foundations. As a result, they appear less prone to the Lucas critique...