Functional separability within a quadratic inverse demand system
Daniele Moro and
Paolo Sckokai
Applied Economics, 2002, vol. 34, issue 3, 285-293
Abstract:
In this paper, a quadratic inverse (almost ideal) demand system (IQUAIDS) is derived, that generalizes the inverse (almost ideal) demand system (IAIDS). Starting from a flexible parameterization of the distance function, this model allows a more flexible specification by overcoming the potential restrictiveness of linear scale curves. However, at a point of normalization, the IQUAIDS boils down to the IAIDS, thus the additional flexibility pertains only to the specification of scale elasticities away from the point of approximation. Previous work on functional separability is extended to the case of inverse demands, and necessary and sufficient conditions for weak separability of the direct and indirect utility function derived, in terms of the Antonelli elasticities of complementarity and of the scale elasticities. Their proper parametric representation within the inverse specification is also derived. An empirical application to fish demand in Italy is provided, mainly for illustrative purposes.
Date: 2002
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/00036840110042173 (text/html)
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:taf:applec:v:34:y:2002:i:3:p:285-293
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/00036840110042173
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().