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|
|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.|
|Contact details of provider:|| Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.|
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- José-Víctor Ríos-Rull & Frank Schorfheide & Cristina Fuentes-Albero & Raul Santaeulalia-Llopis & Maxym Kryshko, 2009.
"Methods versus substance: measuring the effects of technology shocks on hours,"
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