Forecasting Professional Forecasters
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Bibliographic InfoArticle provided by American Statistical Association in its journal Journal of Business and Economic Statistics.
Volume (Year): 27 (2009)
Issue (Month): 4 ()
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- Ana Beatriz Galv�o, 2007.
"Changes in Predictive Ability with Mixed Frequency Data,"
595, Queen Mary, University of London, School of Economics and Finance.
- Galvão, Ana Beatriz, 2013. "Changes in predictive ability with mixed frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 395-410.
- Kuzin, Vladimir & Marcellino, Massimiliano & Schumacher, Christian, 2011.
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International Journal of Forecasting,
Elsevier, vol. 27(2), pages 529-542.
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- Kuzin, Vladimir & Marcellino, Massimiliano & Schumacher, Christian, 2009. "MIDAS vs. mixed-frequency VAR: Nowcasting GDP in the Euro Area," CEPR Discussion Papers 7445, C.E.P.R. Discussion Papers.
- Vladimir Kuzin & Massimiliano Marcellino & Christian Schumacher, 2009. "MIDAS vs. mixed-frequency VAR: Nowcasting GDP in the Euro Area," Economics Working Papers ECO2009/32, European University Institute.
- Geoff Kenny & Thomas Kostka & Federico Masera, 2011.
"How Informative are the Subjective Density Forecasts of Macroeconomists?,"
CESifo Working Paper Series
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- Christian Schumacher, 2011. "Forecasting with Factor Models Estimated on Large Datasets: A Review of the Recent Literature and Evidence for German GDP," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 231(1), pages 28-49, February.
- Asimakopoulos, Stylianos & Paredes, Joan & Warmedinger, Thomas, 2013. "Forecasting fiscal time series using mixed frequency data," Working Paper Series 1550, European Central Bank.
- Chernov, Mikhail & Mueller, Philippe, 2008.
"The Term Structure of Inflation Expectations,"
CEPR Discussion Papers
6809, C.E.P.R. Discussion Papers.
- Anderson, Evan W. & Ghysels, Eric & Juergens, Jennifer L., 2009. "The impact of risk and uncertainty on expected returns," Journal of Financial Economics, Elsevier, vol. 94(2), pages 233-263, November.
- Baumeister, Christiane & Guérin, Pierre & Kilian, Lutz, 2013.
"Do high-frequency financial data help forecast oil prices? The MIDAS touch at work,"
CFS Working Paper Series
2013/22, Center for Financial Studies (CFS).
- Christiane Baumeister & Pierre Guérin & Lutz Kilian, 2014. "Do High-Frequency Financial Data Help Forecast Oil Prices? The MIDAS Touch at Work," Working Papers 14-11, Bank of Canada.
- Baumeister, Christiane & Guérin, Pierre & Kilian, Lutz, 2013. "Do High-Frequency Financial Data Help Forecast Oil Prices? The MIDAS Touch at Work," CEPR Discussion Papers 9768, C.E.P.R. Discussion Papers.
- Claudia Foroni & Massimiliano Marcellino, 2013.
"A survey of econometric methods for mixed-frequency data,"
Economics Working Papers
ECO2013/02, European University Institute.
- Claudia Foroni & Massimiliano Marcellino, 2013. "A survey of econometric methods for mixed-frequency data," Working Paper 2013/06, Norges Bank.
- Elena Andreou & Eric Ghysels & Andros Kourtellos, 2007.
"Regression Models with Mixed Sampling Frequencies,"
University of Cyprus Working Papers in Economics
8-2007, University of Cyprus Department of Economics.
- Pitschner, Stefan, 2013. "Using Financial Markets To Estimate the Macro Effects of Monetary Policy:," Working Paper Series 267, Sveriges Riksbank (Central Bank of Sweden).
- Eric Ghysels & Andros Kourtellos & Elena Andreou, 2012. "Should macroeconomic forecasters use daily financial data and how?," 2012 Meeting Papers 1196, Society for Economic Dynamics.
- J. Isaac Miller, 2012. "Mixed-frequency Cointegrating Regressions with Parsimonious Distributed Lag Structures," Working Papers 1211, Department of Economics, University of Missouri.
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