Forecasting Halibut Biomass Using System Theoretic Time-Series Methods
Keith Criddle and
Arthur M. Havenner
American Journal of Agricultural Economics, 1989, vol. 71, issue 2, 422-431
Abstract:
A new procedure introduced by Masanao Aoki uses the ideas of linear systems theory to identify and estimate time-series models. A slightly modified version of this procedure is used to forecast halibut biomass in total and by regulatory area and subarea, and the out-of-sample forecasts are evaluated for eight years. All models produce highly accurate forecasts of biomass, with errors well within the bounds required for setting catch limits in the following year.
Date: 1989
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://hdl.handle.net/10.2307/1241600 (application/pdf)
Access to full text is restricted to subscribers.
Related works:
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:oup:ajagec:v:71:y:1989:i:2:p:422-431.
Access Statistics for this article
American Journal of Agricultural Economics is currently edited by Madhu Khanna, Brian E. Roe, James Vercammen and JunJie Wu
More articles in American Journal of Agricultural Economics from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().