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This volume of Advances in Econometrics contains articles that
examine key topics in the modeling and estimation of dynamic
stochastic general equilibrium (DSGE) models. Because DSGE models
combine micro- and macroeconomic theory with formal econometric
modeling and inference, over the past decade they have become an
established framework for analyzing a variety of issues in
empirical macroeconomics. The research articles make contributions
in several key areas in DSGE modeling and estimation. In
particular, papers cover the modeling and role of expectations, the
study of optimal monetary policy in two-country models, and the
problem of non-invertibility. Other interesting areas of inquiry
include the analysis of parameter identification in new open
economy macroeconomic models and the modeling of trend inflation
shocks. The second part of the volume is devoted to articles that
offer innovations in econometric methodology. These papers advance
new techniques for addressing major inferential problems and
include discussion and applications of Laplace-type, frequency
domain, empirical likelihood and method of moments estimators.
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