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This leading probability index of US recessions has been developed in
2005, concluding a two year research on leading indicators, the US
business cycle
and links with financial markets. This is a 'quasi real-time ' model
which detected the post-war US recessions with an average (resp.
median) real-time lead of 9 (resp. 7) months.
The leading recession index is based upon US non-financial time series,
non subject to significant revisions. The model is built on a
markov-switching detection principle ''à la Hamilton''.
Estimates are produced with MSVARLIB on a monthly sample starting in february 1960.
An average lead of 9 months on the post-war US recessions
In practice, a rising and persistent filtered probability (at least 3
consecutive hikes above a 30% threshold) has been robust enough to
detect past incoming recessions. This has notably been the case since
early 2007. In August 2008, we released an upgraded model more able to
disentangle the change in the US business cycle that occurred in the
mid 80's. Since then, the US economy had faced rather shallow, but
lingering recessions and not so easily identifiable as they had been
since 1960. The new signal delivered a less equivocal message about the
probability that a protracted recession should have started in December 2007, as confirmed in 2008 by the NBER...
The
model has produced only one false signal in 1966-1967, corresponding to
the credit crunch, that some economists consider close to a recession,
see for instance Chauvet M. (1998). "An Econometric Characterization of
Business Cycle Dynamics with Factor Structure and Regime Switching",
International Economic Review, vol. 39.
Interestingly, a rising probability persisting above 5% is a
short-leading indicator of more minor slowdowns such as (1962, 1968,
1973, 1978, 1984, 1995 and 1998). The probability has been a reliable
measure how persistent, pervasive and pronounced is a slowdown to
degenerate into recessions.
For further information on research and references about recession and
business cycles modelling, you may refer to some personal working papers and programs and to ressources on Business Cycle Economics and Econometrics.
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