Quick and Easy Optimal Approach Paths for Nonlinear Natural Resource Models
William C. Kolberg
American Journal of Agricultural Economics, 1993, vol. 75, issue 3, 685-695
Abstract:
An analytical optimal time-path solution method for nonlinear natural resource models based on backward induction is discussed. A method for estimating a time-independent current period decision rule from the discrete-point time-path solution set generated with backward induction is then reviewed. A model of the northern anchovy fishery of California is used to compare the performance of this approach against previously reported results based on linear quadratic analytical dynamic programming and approximately optimal analytical current period decision rule solution methods. The approach provides an analytical shortcut alternative to numerical dynamic programming, without sacrificing precision.
Date: 1993
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.2307/1243575 (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:75:y:1993:i:3:p:685-695.
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 ().