Learning in Real Time: Theory and Empirical Evidence from the Term Structure of Survey Forecasts
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- Kajal Lahiri & Xuguang Sheng, 2008. "Measuring Forecast Uncertainty by Disagreement: The Missing Link," ifo Working Paper Series 60, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Kajal Lahiri & Xuguang Sheng, 2009. "Measuring Forecast Uncertainty by Disagreement: The Missing Link," Discussion Papers 09-06, University at Albany, SUNY, Department of Economics.
- Lahiri, Kajal & Sheng, Xuguang, 2010.
"Learning and heterogeneity in GDP and inflation forecasts,"
International Journal of Forecasting, Elsevier, vol. 26(2), pages 265-292, April.
- Kajal Lahiri & Xuguang Sheng, 2009. "Learning and Heterogeneity in GDP and Inflation Forecasts," Discussion Papers 09-05, University at Albany, SUNY, Department of Economics.
- Lahiri, Kajal & Sheng, Xuguang, 2009. "Learning and heterogeneity in GDP and inflation forecasts," MPRA Paper 21448, University Library of Munich, Germany.
- Lahiri, Kajal & Sheng, Xuguang, 2008. "Evolution of forecast disagreement in a Bayesian learning model," Journal of Econometrics, Elsevier, vol. 144(2), pages 325-340, June.
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More about this item
Keywords
Term structure of forecasts; Real time learning; Survey forecasts;All these keywords.
JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CBA-2007-10-20 (Central Banking)
- NEP-ECM-2007-10-20 (Econometrics)
- NEP-FOR-2007-10-20 (Forecasting)
- NEP-MAC-2007-10-20 (Macroeconomics)
- NEP-MON-2007-10-20 (Monetary Economics)
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