Nonlinear time series modelling: an introduction
Simon Potter
No 87, Staff Reports from Federal Reserve Bank of New York
Abstract:
Recent developments in nonlinear time series modelling are reviewed. Three main types of nonlinear models are discussed: Markov Switching, Threshold Autoregression and Smooth Transition Autoregression. Classical and Bayesian estimation techniques are described for each model. Parametric tests for nonlinearity are reviewed with examples from the three types of models. Finally, forecasting and impulse response analysis is developed.
Keywords: time; series; analysis (search for similar items in EconPapers)
Date: 1999
New Economics Papers: this item is included in nep-ecm and nep-ets
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (65)
Downloads: (external link)
https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr87.html (text/html)
https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr87.pdf (application/pdf)
Related works:
Journal Article: Nonlinear Time Series Modelling: An Introduction (1999) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:fip:fednsr:87
Ordering information: This working paper can be ordered from
Access Statistics for this paper
More papers in Staff Reports from Federal Reserve Bank of New York Contact information at EDIRC.
Bibliographic data for series maintained by Gabriella Bucciarelli ().