Forecasting the probability of US recessions: a Probit and dynamic factor modelling approach
AbstractQuantifying the probability of U.S. recessions has become increasingly important since August 2007. In a data-rich environment, this paper is the first to apply a Probit model to common factors extracted from a large set of explanatory variables to model and forecast recession probability. The results show the advantages of the proposed approach over many existing models. Simulated real-time analysis captures all recessions since 1980. The proposed model also detects a significant jump in the next six-month recession probability based on data up to November 2007, one year before the formal declaration of the recent recession by the NBER.
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Bibliographic InfoArticle provided by Canadian Economics Association in its journal Canadian Journal of Economics.
Volume (Year): 44 (2011)
Issue (Month): 2 (May)
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Postal: Canadian Economics Association Prof. Steven Ambler, Secretary-Treasurer c/o Olivier Lebert, CEA/CJE/CPP Office C.P. 35006, 1221 Fleury Est Montréal, Québec, Canada H2C 3K4
Web page: http://economics.ca/cje/
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Find related papers by JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
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- Bellégo, C. & Ferrara, L., 2012. "Macro-financial linkages and business cycles: A factor-augmented probit approach," Economic Modelling, Elsevier, vol. 29(5), pages 1793-1797.
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