Estimation and Evaluation of DSGE Models: Progress and Challenges
AbstractEstimated 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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Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 16781.
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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Other versions of this item:
- Frank Schorfheide, 2011. "Estimation and evaluation of DSGE models: progress and challenges," Working Papers 11-7, Federal Reserve Bank of Philadelphia.
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
- E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
- E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
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