Forecasting the probability of US recessions : A Probit and dynamic factor modelling approach
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 651-672 |
Journal / Publication | Canadian Journal of Economics |
Volume | 44 |
Issue number | 2 |
Online published | 4 May 2011 |
Publication status | Published - May 2011 |
Externally published | Yes |
Link(s)
Abstract
Quantifying 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. © Canadian Economics Association.
Citation Format(s)
Forecasting the probability of US recessions: A Probit and dynamic factor modelling approach. / Chen, Zhihong; Iqbal, Azhar; Lai, Huiwen.
In: Canadian Journal of Economics, Vol. 44, No. 2, 05.2011, p. 651-672.
In: Canadian Journal of Economics, Vol. 44, No. 2, 05.2011, p. 651-672.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review