Predictable Recoveries
Author
Abstract
Suggested Citation
DOI: 10.1111/ecca.12185
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- Olivier J. Blanchard & Jean-Paul L'Huillier & Guido Lorenzoni, 2013.
"News, Noise, and Fluctuations: An Empirical Exploration,"
American Economic Review, American Economic Association, vol. 103(7), pages 3045-3070, December.
- Jean-Paul L'Huillier & Guido Lorenzoni & Olivier J. Blanchard, 2009. "News, Noise and Fluctuations: An Empirical Exploration," 2009 Meeting Papers 99, Society for Economic Dynamics.
- Jean-Paul L'Huillier & Guido Lorenzoni & Olivier Blanchard, 2011. "News, Noise, and Fluctuations: An Empirical Exploration," 2011 Meeting Papers 969, Society for Economic Dynamics.
- Olivier J. Blanchard & Jean-Paul L'Huillier & Guido Lorenzoni, 2009. "News, Noise, and Fluctuations: An Empirical Exploration," NBER Working Papers 15015, National Bureau of Economic Research, Inc.
- Olivier J. Blanchard & Jean-Paul L’Huillier & Guido Lorenzoni, 2012. "News, Noise, and Fluctuations: An Empirical Exploration," Development Research Working Paper Series 09/2012, Institute for Advanced Development Studies.
- Fair, Ray C & Shiller, Robert J, 1990. "Comparing Information in Forecasts from Econometric Models," American Economic Review, American Economic Association, vol. 80(3), pages 375-389, June.
- Frank Smets & Rafael Wouters, 2007.
"Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach,"
American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
- Smets, Frank & Wouters, Raf, 2007. "Shocks and frictions in US business cycles: a Bayesian DSGE approach," Working Paper Series 722, European Central Bank.
- Smets, Frank & Wouters, Rafael, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," CEPR Discussion Papers 6112, C.E.P.R. Discussion Papers.
- Frank Smets & Raf Wouters, 2007. "Shocks and Frictions in US Business Cycles : a Bayesian DSGE Approach," Working Paper Research 109, National Bank of Belgium.
- John Y. Campbell & N. Gregory Mankiw, 1987.
"Are Output Fluctuations Transitory?,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(4), pages 857-880.
- John Y. Campbell & N. Gregory Mankiw, 1986. "Are Output Fluctuations Transitory?," NBER Working Papers 1916, National Bureau of Economic Research, Inc.
- Campbell, John & Mankiw, Gregory, 1987. "Are Output Fluctuations Transitory?," Scholarly Articles 3122545, Harvard University Department of Economics.
- Granger, C. W. J., 1980. "Long memory relationships and the aggregation of dynamic models," Journal of Econometrics, Elsevier, vol. 14(2), pages 227-238, October.
- Nelson, Charles R, 1972. "The Prediction Performance of the FRB-MIT-PENN Model of the U.S. Economy," American Economic Review, American Economic Association, vol. 62(5), pages 902-917, December.
- Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2010.
"A comparison of forecast performance between Federal Reserve staff forecasts, simple reduced-form models, and a DSGE model,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 720-754.
- Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2009. "A comparison of forecast performance between Federal Reserve staff forecasts, simple reduced-form models, and a DSGE model," Finance and Economics Discussion Series 2009-10, Board of Governors of the Federal Reserve System (U.S.).
- Wouter J. Den Haan & Steven W. Sumner & Guy M. Yamashiro, 2011.
"Bank Loan Components and the Time‐varying Effects of Monetary Policy Shocks,"
Economica, London School of Economics and Political Science, vol. 78(312), pages 593-617, October.
- Den Haan, Wouter & Sumner, Steven & Yamashiro, Guy, 2004. "Bank Loan Components and the Time-Varying Effects of Monetary Policy Shocks," CEPR Discussion Papers 4724, C.E.P.R. Discussion Papers.
- Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Cai, Xiaoming & Den Haan, Wouter J. & Pinder, Jonathan, 2016. "Predictable recoveries," LSE Research Online Documents on Economics 65188, London School of Economics and Political Science, LSE Library.
- Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 141-194, Elsevier.
- Warne, Anders & Coenen, Günter & Christoffel, Kai, 2010. "Forecasting with DSGE models," Working Paper Series 1185, European Central Bank.
- Bekiros Stelios & Paccagnini Alessia, 2015.
"Estimating point and density forecasts for the US economy with a factor-augmented vector autoregressive DSGE model,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(2), pages 107-136, April.
- Stelios D. Bekiros & Alessia Paccagnini, 2014. "Estimating point and density forecasts for the US economy with a factor-augmented vector autoregressive DSGE model," Open Access publications 10197/7588, School of Economics, University College Dublin.
- Henzel, Steffen R. & Mayr, Johannes, 2013. "The mechanics of VAR forecast pooling—A DSGE model based Monte Carlo study," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 1-24.
- Cai, Xiaoming & Den Haan, Wouter J. & Pinder, Jonathan, 2015. "Predictable recoveries," LSE Research Online Documents on Economics 86289, London School of Economics and Political Science, LSE Library.
- Michael Wickens, 2014.
"How Useful are DSGE Macroeconomic Models for Forecasting?,"
Open Economies Review, Springer, vol. 25(1), pages 171-193, February.
- Wickens, Michael R., 2012. "How Useful are DSGE Macroeconomic Models for Forecasting?," CEPR Discussion Papers 9049, C.E.P.R. Discussion Papers.
- Den Haan, Wouter & Cai, Xiaoming & Pinder, Jonathan, 2015. "Predictable Recoveries," CEPR Discussion Papers 10815, C.E.P.R. Discussion Papers.
- Xiaoming Cai & Wouter Den Haan & Jonathan Pinder, 2015. "Predictable Recoveries," Discussion Papers 1520, Centre for Macroeconomics (CFM).
- Cameron Fen & Samir Undavia, 2022. "Improving Macroeconomic Model Validity and Forecasting Performance with Pooled Country Data using Structural, Reduced Form, and Neural Network Model," Papers 2203.06540, arXiv.org.
- Den Haan, Wouter & Cai, Xiaoming, 2009. "Predicting recoveries and the importance of using enough information," CEPR Discussion Papers 7508, C.E.P.R. Discussion Papers.
- Maik H. Wolters, 2015.
"Evaluating Point and Density Forecasts of DSGE Models,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(1), pages 74-96, January.
- Wolters, Maik H., 2011. "Forecasting under Model Uncertainty," VfS Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 48723, Verein für Socialpolitik / German Economic Association.
- Wolters, Maik H., 2013. "Evaluating point and density forecasts of DSGE models," Economics Working Papers 2013-03, Christian-Albrechts-University of Kiel, Department of Economics.
- Wolters, Maik Hendrik, 2012. "Evaluating point and density forecasts of DSGE models," IMFS Working Paper Series 59, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Wolters, Maik Hendrik, 2012. "Evaluating point and density forecasts of DSGE models," MPRA Paper 36147, University Library of Munich, Germany.
- Ana Beatriz Galvão & Liudas Giraitis & George Kapetanios & Katerina Petrova, 2015. "A Bayesian Local Likelihood Method for Modelling Parameter Time Variation in DSGE Models," Working Papers 770, Queen Mary University of London, School of Economics and Finance.
- Clements, Michael P. & Reade, J. James, 2020. "Forecasting and forecast narratives: The Bank of England Inflation Reports," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1488-1500.
- Mauro Costantini & Ulrich Gunter & Robert M. Kunst, 2017.
"Forecast Combinations in a DSGE‐VAR Lab,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(3), pages 305-324, April.
- Costantini, Mauro & Gunter, Ulrich & Kunst, Robert M., 2014. "Forecast combinations in a DSGE-VAR lab," Economics Series 309, Institute for Advanced Studies.
- Katja Heinisch & Rolf Scheufele, 2018.
"Bottom-up or direct? Forecasting German GDP in a data-rich environment,"
Empirical Economics, Springer, vol. 54(2), pages 705-745, March.
- Katja Drechsel & Rolf Scheufele, 2012. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," Working Papers 2012-16, Swiss National Bank.
- Drechsel, Katja & Scheufele, Rolf, 2013. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," IWH Discussion Papers 7/2013, Halle Institute for Economic Research (IWH).
- Zhang, Heng-Guo & Wang, Shihong & Xie, Yuchi, 2025. "How does news-driven monetary policy frictions affect nonperforming loans?--Taking Chinese commercial banks as an example," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).
- Renato Faccini & Leonardo Melosi, 2022.
"Pigouvian Cycles,"
American Economic Journal: Macroeconomics, American Economic Association, vol. 14(2), pages 281-318, April.
- Melosi, Leonardo & Faccini, Renato, 2018. "Pigouvian Cycles," CEPR Discussion Papers 13370, C.E.P.R. Discussion Papers.
- Renato Faccini & Leonardo Melosi, 2019. "Pigouvian Cycles," 2019 Meeting Papers 977, Society for Economic Dynamics.
- Koop, Gary & Ley, Eduardo & Osiewalski, Jacek & Steel, Mark F. J., 1997.
"Bayesian analysis of long memory and persistence using ARFIMA models,"
Journal of Econometrics, Elsevier, vol. 76(1-2), pages 149-169.
- KOOP , Gary & LEY , Eduardo & OSIEWALSKI , Jacek & STEEL , Mark, 1995. "Bayesian Analysis of Long Memory and Persistence using ARFIMA Models," LIDAM Discussion Papers CORE 1995035, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Gary Koop, 1995. "Bayesian Analysis of Long Memory and Persistence using ARFIMA Models," Working Papers gkoop-95-01, University of Toronto, Department of Economics.
- Gary Koop & Eduardo Ley & Jacek Osiewalski & Mark F.J. Steel, 1995. "Bayesian Analysis of Long Memory and Persistence using ARFIMA Models," Econometrics 9505001, University Library of Munich, Germany, revised 22 Jun 2004.
- Koop, G. & Ley, E. & Osiewalski, J. & Steel, M. F. J., 1997. "Bayesian analysis of long memory and persistence using ARFIMA models," LIDAM Reprints CORE 1246, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Lo, Andrew W, 1991.
"Long-Term Memory in Stock Market Prices,"
Econometrica, Econometric Society, vol. 59(5), pages 1279-1313, September.
- Lo, Andrew W. (Andrew Wen-Chuan), 1989. "Long-term memory in stock market prices," Working papers 3014-89., Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Andrew W. Lo, 1989. "Long-term Memory in Stock Market Prices," NBER Working Papers 2984, National Bureau of Economic Research, Inc.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:econom:v:83:y:2016:i:330:p:307-337. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/bla/econom/v83y2016i330p307-337.html