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The term structure, leading indicators, and recessions: evidence from Switzerland, 1974–2017
- Source :
- Swiss Journal of Economics and Statistics, Vol 156, Iss 1, Pp 1-17 (2020)
- Publication Year :
- 2020
- Publisher :
- SpringerOpen, 2020.
-
Abstract
- This paper studies the predictive power for recessions of the slope of the Swiss term structure using monthly data for 1974–2017. Dynamic probit models indicate that the term structure contains information useful for predicting recessions for horizons up to 19 months. Whether the economy is currently in recession or not is also useful for forecasting recessions. These relationships prove stable over the sample. Robustness tests indicate that the KOF business course indicator and some monetary aggregates contain different information from the term structure which can improve the in- and out-of-sample fit of the model.
- Subjects :
- Statistics and Probability
Economics and Econometrics
Leading indicators
genetic structures
media_common.quotation_subject
education
Sample (statistics)
Recession
Economic indicator
Probit model
ddc:330
Econometrics
Economics
Robustness (economics)
lcsh:Statistics
lcsh:HA1-4737
media_common
Structure (mathematical logic)
lcsh:HB71-74
Recessions
lcsh:Economics as a science
eye diseases
Term (time)
Predictive power
E00
Term structure
C25
sense organs
human activities
Switzerland
E43
Subjects
Details
- Language :
- English
- ISSN :
- 22356282
- Volume :
- 156
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Swiss Journal of Economics and Statistics
- Accession number :
- edsair.doi.dedup.....50659a33d4fc6b052dacec822a6c0231