Estimation and Evaluation of DSGE Models: Progress and Challenges
Estimated dynamic stochastic equilibrium (DSGE) models are now widely used for empirical research in macroeconomics as well as for quantitative policy analysis and forecasting at central banks around the world. This paper reviews recent advances in the estimation and evaluation of DSGE models, discusses current challenges, and provides avenues for future research.
|Date of creation:||Feb 2011|
|Date of revision:|
|Publication status:||published as “Estimation and Evaluation of DSGE Models: Progress and Challenges.” Forthcoming in: D. Acemoglu, M. Arellano, and E. Deckel (eds .): “Advances in Economics and Econometrics: Theory and Applications, Tenth World Congress,” Vol 3 , 2 013, Cambridge University Press , 184 - 230.|
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- Pablo Guerron-Quintana & Atsushi Inoue & Lutz Kilian, 2009.
"Frequentist inference in weakly identified DSGE models,"
09-13, Federal Reserve Bank of Philadelphia.
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