This thesis makes three main contributions to the literature on Dynamic Stochastic General Equilibrium (DSGE) models in Macroeconomics. As no previous studies have studied the Chinese economy from the perspective of DSGE, the first contribution of this thesis is estimating a DSGE model for China through a Bayesian approach using the Chinese quarterly post-economic reform data representing the m...

This chapter reviews the literature on the econometric relationship between DSGE and VAR models from the point of view of estimation and model validation. The mapping between DSGE and VAR models is broken down into three stages: 1) from DSGE to statespace model; 2) from state-space model to VAR(1); 3) from VAR(1) to nite order VAR. The focus is on discussing what can go wrong at each step of th...

DSGE models are designed to mimic only certain aspects of reality, usually speci…ed moments of observable data. They typically have other implications that are clearly false and lead to their immediate rejection if taken literally. Widely used calibration exercises compare the implications of DSGE models for the distribution of speci…ed sample moments with the corresponding data. This paper sho...

This paper tests the ability of popular New Keynesian models, which are traditionally used to study monetary policy and business cycles, to match the data regarding a key channel for monetary transmission: the dynamic interactions between macroeconomic variables and their corresponding expectations. In the empirical analysis, we exploit direct data on expectations from surveys. To explain the j...

This study explores three alternative econometric interpretations of dynamic, stochastic general equilibrium (DSGE) models. Under a strong econometric interpretation, these models provide likelihood functions for observed sequences of prices and quantities. Given this interpretation, most DSGE models are rejected using classical econometrics and assigned zero probability in a Bayesian approach....

This paper deals with Dynamic Stochastic General Equilibrium (DSGE) models under a multivariate student-t distribution for the structural shocks. Based on the solution algorithm of Klein (2000) and the gamma-normal representation of the t -distribution, the TaRB-MH algorithm of Chib and Ramamurthy (2010) is used to estimate the model. A technique for estimating the marginal likelihood of the DS...

This paper is intended to be pedagogical rather than a presentation of original research. We describe a simple dynamic, stochastic general equilibrium (DSGE) model with capital utilization, capital adjustment costs, and a simple Cobb-Douglas technology to illustrate how DSGE models can be used to explain the past and to forecast the future. We identify one method to directly estimate latent var...

The predictive likelihood is useful for ranking models in forecast comparison exercises using Bayesian inference. We discuss how it can be estimated, by means of marginalization, for any subset of the observables in linear Gaussian state-space models. We compare macroeconomic density forecasts for the euro area of a DSGE model to those of a DSGE-VAR, a BVAR, and a multivariate random walk over ...

Standard practice for the estimation of dynamic stochastic general equilibrium (DSGE) models maintains the assumption that economic variables are properly measured by a single indicator, and that all relevant information for the estimation is summarized by a small number of data series. However, recent empirical research on factor models has shown that information contained in large data sets i...