EconPapers    
Economics at your fingertips  
 

The effect of long-run identification on impulse-response functions: An application to the relationship between macroeconomics and agriculture in Tunisia

Monia Ben Kaabia, Jose Maria Gil and Houssem Eddine Chebbi

Agricultural Economics Review, 2002, vol. 03, issue 2, 13

Abstract: The objective of this paper is to analyse some of the most relevant relationships among macroeconomic variables and the agricultural sector in Tunisia. Three alternative models are specified and estimated: a VAR in levels, an unrestricted Vector Error Correction Model (VECM), and a Restricted VECM in which long-run relationships among the relevant variables are identified. In all models short-run dynamics are analysed through the use of Generalised Impulse Response Functions. Results indicate that alternative model specifications generate different short-run dynamics. Long-run identification seems to be a necessary condition for obtaining consistent economic results.

Keywords: Agricultural; and; Food; Policy (search for similar items in EconPapers)
Date: 2002
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://ageconsearch.umn.edu/record/26459/files/03020036.pdf (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:ags:aergaa:26459

DOI: 10.22004/ag.econ.26459

Access Statistics for this article

More articles in Agricultural Economics Review from Greek Association of Agricultural Economists Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2025-03-19
Handle: RePEc:ags:aergaa:26459