Identifying News Shocks from SVARs
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- Féve, Patrick & Jidoud, Ahmat, 2012. "Identifying News Shocks from SVARs," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 919-932.
- Fève, Patrick & Jidoud, Ahmat, 2012. "Identifying News Shocks from SVARs," IDEI Working Papers 706, Institut d'Économie Industrielle (IDEI), Toulouse.
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Cited by:
- Marco M. Sorge, 2013. "On the Fundamentalness of Nonfundamentalness in DSGE Models," CSEF Working Papers 340, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
- Marco M. Sorge, 2013.
"A Note on Information Flows and Identification of News Shocks Models,"
Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 56(1), pages 28-38.
- Marco M. Sorge, 2013. "A Note on Information Flows and Identification of News Shocks Models," EERI Research Paper Series EERI RP 2013/08, Economics and Econometrics Research Institute (EERI), Brussels.
- Seymen, Atılım, 2013. "Sequential identification of technological news shocks," ZEW Discussion Papers 13-111, ZEW - Leibniz Centre for European Economic Research.
- Paul Beaudry & Franck Portier, 2014.
"News-Driven Business Cycles: Insights and Challenges,"
Journal of Economic Literature, American Economic Association, vol. 52(4), pages 993-1074, December.
- Portier, Franck & Beaudry, Paul, 2013. "News Driven Business Cycles: Insights and Challenges," CEPR Discussion Papers 9624, C.E.P.R. Discussion Papers.
- Paul Beaudry & Franck Portier, 2014. "News Driven Business Cycles: Insights and Challenges," 2014 Meeting Papers 289, Society for Economic Dynamics.
- Paul Beaudry & Franck Portier, 2013. "News Driven Business Cycles: Insights and Challenges," NBER Working Papers 19411, National Bureau of Economic Research, Inc.
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More about this item
Keywords
News shocks; SVARs; Identification; Diagnostic Test; Non–fundamentalness;All these keywords.
JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2012-05-08 (Econometrics)
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