A nonlinear time series model of El Niño
AbstractA smooth transition autoregressive model is estimated for the Southern Oscillation Index, an index commonly used as a measure of El Niño events. Using standard measures there is no indication of nonstationarity in the index. A logistic smooth transition autoregressive model describes the most turbulent periods in the data (these correspond to El Niño events) better than a linear autoregressive model. The estimated nonlinear model passes a battery of diagnostic tests. A generalised impulse response function indicates local instability, but as deterministic extrapolation from the estimated model converges, the nonlinear model may still be useful for forecasting the El Niño Southern Oscillation a few months ahead.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoPaper provided by Stockholm School of Economics in its series Working Paper Series in Economics and Finance with number 263.
Length: 25 pages
Date of creation: 28 Sep 1998
Date of revision:
Publication status: Published in Environmental Modelling and Software, 2001, pages 139-146.
Contact details of provider:
Postal: The Economic Research Institute, Stockholm School of Economics, P.O. Box 6501, 113 83 Stockholm, Sweden
Phone: +46-(0)8-736 90 00
Fax: +46-(0)8-31 01 57
Web page: http://www.hhs.se/
More information through EDIRC
Smooth transition autoregression; Nonlinearity; Time series model; El Niño; Southern Oscillation;
Find related papers by JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
This paper has been announced in the following NEP Reports:
- NEP-ALL-1998-10-08 (All new papers)
- NEP-ECM-1998-10-08 (Econometrics)
- NEP-ENV-1998-10-08 (Environmental Economics)
- NEP-ETS-1998-10-08 (Econometric Time Series)
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Tack, Jesse B. & Ubilava, David, 2012. "The Effect of the El Nino Southern Oscillation on U.S. Corn Production and Downside Risk," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119785, Southern Agricultural Economics Association.
- Röthig, Andreas & Chiarella, Carl, 2006.
"Investigating nonlinear speculation in cattle, corn, and hog futures markets using logistic smooth transition regression models,"
Darmstadt Discussion Papers in Economics
36774, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute of Economics (VWL).
- Andreas R?thig & Carl Chiarella, 2006. "Investigating Nonlinear Speculation in Cattle, Corn and Hog Futures Markets Using Logistic Smooth Transition Regression Models," Research Paper Series 172, Quantitative Finance Research Centre, University of Technology, Sydney.
- Ubilava, David, 2013. "El Niño Southern Oscillation and Primary Agricultural Commodity Prices: Causal Inferences from Smooth Transition Models," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152202, Australian Agricultural and Resource Economics Society.
- Ubilava, David & Helmers, C Gustav, 2012. "Forecasting ENSO with a smooth transition autoregressive model," MPRA Paper 36890, University Library of Munich, Germany.
- Li, Yushu & Shukur, Ghazi, 2009. "Testing for Unit Root against LSTAR model – wavelet improvements under GARCH distortion," Working Paper Series in Economics and Institutions of Innovation 184, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
- Ubilava, David & Holt, Matthew T., 2009. "Nonlinearities in the World Vegetable Oil Price System: El Nino Effects," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49360, Agricultural and Applied Economics Association.
- Balagtas, Joseph Valdes & Holt, Matthew T., 2006. "Unit Roots, TV-STARs, and the Commodity Terms of Trade: A Further Assessment of the Prebisch-Singer Hypothesis," 2006 Annual meeting, July 23-26, Long Beach, CA 21405, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Helena Lundin).
If references are entirely missing, you can add them using this form.