Arbeitspapier
Combined Forecasts from Linear and Nonlinear Time Series Models
Combined forecasts from a linear and a nonlinear model areinvestigated for timeseries with possibly nonlinear characteristics. The forecasts arecombined by aconstant coefficient regression method as well as a time varyingmethod. Thetime varying method allows for a locally (non)linear model. Themethods areapplied to data from two kinds of disciplines: the Canadian lynx andsunspotseries from the natural sciences, and Nelson-Plosser's U.S. seriesfromeconomics. It is shown that the combined forecasts perform well,especially withtime varying coefficients. This result holds for out of sampleperformance forthe sunspot and Canadian lynx number series, but it does notuniformly hold foreconomic time series.
- Language
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Englisch
- Bibliographic citation
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Series: Tinbergen Institute Discussion Paper ; No. 00-003/4
- Classification
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Wirtschaft
- Subject
-
Combining forecasts
ExpAR model
Locally linear (or nonlinear) modeling
Threshold model
Time varying coefficient model
Zeitreihenanalyse
Prognoseverfahren
Theorie
- Event
-
Geistige Schöpfung
- (who)
-
Terui, N.
van Dijk, Herman K.
- Event
-
Veröffentlichung
- (who)
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Tinbergen Institute
- (where)
-
Amsterdam and Rotterdam
- (when)
-
2000
- Handle
- Last update
-
10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Terui, N.
- van Dijk, Herman K.
- Tinbergen Institute
Time of origin
- 2000
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