A Toolkit for Optimizing Functions in Economics
William Goffe
Computational Economics from University Library of Munich, Germany
Abstract:
Optimization algorithms must be among the most common numerical methods used by economists. Yet, there is surprisingly little guidance on choosing the appropriate one. This problem is most notable with regard to conventional versus global optimizers. Typically, a global optimizer is used when a conventional one fails after substantial ``fiddling'' with a conventional optimizer. This paper introduces three different, easy-to-use, tools (cross-sections, radius plots, and a measure of the non-quadratic behavior of a function) that are designed to indicate when a global optimizer is needed. With their use, researchers should spend less time fiddling and more time generating results.
Keywords: optimization; estimation; simulation; algorithm (search for similar items in EconPapers)
JEL-codes: C8 (search for similar items in EconPapers)
Pages: 14 pages
Date: 1997-07-16
Note: Type of Document - ; prepared on Linux/LaTeX; to print on PostScript; pages: 14; figures: included. none
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://econwpa.ub.uni-muenchen.de/econ-wp/comp/papers/9707/9707001.pdf (application/pdf)
https://econwpa.ub.uni-muenchen.de/econ-wp/comp/papers/9707/9707001.ps.gz (application/postscript)
Related works:
Working Paper: A Toolkit for Optimizing Functions in Economics 
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:wpa:wuwpco:9707001
Access Statistics for this paper
More papers in Computational Economics from University Library of Munich, Germany
Bibliographic data for series maintained by EconWPA ( this e-mail address is bad, please contact ).