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.
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- Fuentes-Albero, Cristina & Kryshko, Maxym & Ríos-Rull, José-Víctor & Santaeulàlia-Llopis, Raül & Schorfheide, Frank, 2009.
"Methods versus Substance: Measuring the Effects of Technology Shocks on Hours,"
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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," Staff Report 433, Federal Reserve Bank of Minneapolis.
- Pablo Guerron-Quintana & Atsushi Inoue & Lutz Kilian, 2009.
"Frequentist inference in weakly identified DSGE models,"
09-13, Federal Reserve Bank of Philadelphia.
- 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.
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