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Estimation and Evaluation of DSGE Models: Progress and Challenges

  • Frank Schorfheide

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.

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File URL: http://www.nber.org/papers/w16781.pdf
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 16781.

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Date of creation: Feb 2011
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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.
Handle: RePEc:nbr:nberwo:16781
Note: EFG ME
Contact details of provider: Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
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Web page: http://www.nber.org
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  1. Guerron-Quintana, Pablo A. & Inoue, Atsushi & Kilian, Lutz, 2009. "Frequentist Inference in Weakly Identified DSGE Models," CEPR Discussion Papers 7447, C.E.P.R. Discussion Papers.
  2. José-Víctor Ríos-Rull & Frank Schorfheide & Cristina Fuentes-Albero & Maxym Kryshko & Raül Santaeulàlia-Llopis, 2009. "Methods versus Substance: Measuring the Effects of Technology Shocks on Hours," NBER Working Papers 15375, National Bureau of Economic Research, Inc.
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