Presidential Address: Mathematics in economics and econometrics
Victoria Zinde-Walsh
Canadian Journal of Economics, 2011, vol. 44, issue 4, 1052-1068
Abstract:
The paper discusses the choices of mathematical approaches in economics and econometrics, in particular, approaches that either (a) aim for a sharp result or (b) use the least restrictive assumptions. It is argued that, while the choice (a) often necessitates strong mathematical assumptions, choice (b) may lead to only partial identification and may require using less familiar mathematical techniques. This is discussed in the context of the problem of defining a probability density: existence may fail in function spaces; even after imposing assumptions that ensure existence, the problem is not well posed. A density function may not exist for economic variables as a consequence of institutional rigidity such as an income supplement. The apparatus of generalized functions provides the general solution to identification and well-posedness of density, but at the cost of less sharp results and greater mathematical complexity.
Date: 2011
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1111/j.1540-5982.2011.01667.x (text/html)
access 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:cje:issued:v:44:y:2011:i:4:p:1052-1068
Ordering information: This journal article can be ordered from
https://www.economic ... ionen/membership.php
Access Statistics for this article
Canadian Journal of Economics is currently edited by Zhiqi Chen
More articles in Canadian Journal of Economics from Canadian Economics Association Canadian Economics Association Prof. Werrner Antweiler, Treasurer UBC Sauder School of Business 2053 Main Mall Vancouver, BC, V6T 1Z2. Contact information at EDIRC.
Bibliographic data for series maintained by Prof. Werner Antweiler ().