Estimation and inference in cointegrated demand systems: an application to Tunisian meat consumption
M. Ben Kaabia
European Review of Agricultural Economics, 2001, vol. 28, issue 3, 349-370
Abstract:
In this paper, a new framework for estimating and identifying cointegrated demand systems is presented. This method is then applied to the analysis of meat demand in Tunisia with an almost ideal demand system functioning as the underlying model. The Johansen and Juselius approach is used to identify cointegrated vectors as demand equations and to test theoretical economic restrictions. Finally, a structural vector autoregressive model is specified and impulse response functions are calculated to analyse both long- and short-run dynamics of demand elasticities. Copyright 2001, Oxford University Press.
Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (6)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:erevae:v:28:y:2001:i:3:p:349-370
Ordering information: This journal article can be ordered from
https://academic.oup.com/journals
Access Statistics for this article
European Review of Agricultural Economics is currently edited by Timothy Richards, Salvatore Di Falco, Céline Nauges and Vincenzina Caputo
More articles in European Review of Agricultural Economics from Oxford University Press and the European Agricultural and Applied Economics Publications Foundation Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK. Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().