We propose a numerical method, based on indirect inference, for checking the identification of a DSGE model. Monte Carlo samples are generated from the model's true structural parameters and a VAR approximation to the reduced form estimated for each sample. We then search for a different set of...

In this paper, we consider a model selection issue in semiparametric panel data models with fixed effects. The modelling framework under investigation can accommodate both nonlinear deterministic trends and cross-sectional dependence. And we consider the so-called "large panels" where both the...

We examine the role of oil price shocks in effecting changes both at the aggregate and sectoral levels using an estimated dynamic stochastic equilibrium open economy model. Our main finding is that energy price shocks are not able directly to generate the magnitude of the economic downturn...

We find that, when estimated, a two sector computable dynamic stochastic general equilibrium open economy model of the U.S. that formally admits energy into the production process can generate plausible parameter values that can be applied to deal with a broad range of economic issues. As a...

In this paper we investigate the role of news shocks in aggregate fluctuations by comparing the empirical performance of models with and without the feature of the news shocks. We found a trivial difference between the two models. That is, the model with news shocks explains the variation as...

We propose a new type of test. Its aim is to test subsets of the structural equations of a DSGE model. The test draws on the statistical inference for limited information models and the use of indirect inference to test DSGE models. Using Monte Carlo experiments on two subsets of equations of...