A recursive method for solving a climate-economy model: value function iterations with logarithmic approximations
In Chang Hwang
MPRA Paper from University Library of Munich, Germany
Abstract:
A recursive method for solving an integrated assessment model of climate and the economy is developed in this paper. The method approximates value function with a logarithmic basis function and searches for solutions on a set satisfying optimality conditions. These features make the method suitable for a highly nonlinear model with many state variables and various constraints, as usual in a climate-economy model.
Keywords: Dynamic programming; recursive method; value function iteration; integrated assessment (search for similar items in EconPapers)
JEL-codes: C61 C63 Q54 (search for similar items in EconPapers)
Date: 2014-03-25
New Economics Papers: this item is included in nep-cmp, nep-dge, nep-ene and nep-env
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/54782/1/MPRA_paper_54782.pdf original version (application/pdf)
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:pra:mprapa:54782
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().