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 Federal Reserve Bank of Philadelphia in its series Working Papers with number 11-7.
Date of creation: 2011
Date of revision:
Other versions of this item:
- Frank Schorfheide, 2011. "Estimation and Evaluation of DSGE Models: Progress and Challenges," NBER Working Papers 16781, National Bureau of Economic Research, Inc.
- 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
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-02-19 (All new papers)
- NEP-CBA-2011-02-19 (Central Banking)
- NEP-CIS-2011-02-19 (Confederation of Independent States)
- NEP-DGE-2011-02-19 (Dynamic General Equilibrium)
- NEP-ECM-2011-02-19 (Econometrics)
- NEP-ETS-2011-02-19 (Econometric Time Series)
- NEP-FOR-2011-02-19 (Forecasting)
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