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Provedor de dados:  AgEcon
País:  United States
Título:  The effect of long-run identification on impulse-response functions: An application to the relationship between macroeconomics and agriculture in Tunisia
Autores:  Ben Kaabia, Monia
Gil, Jose Maria
Chebbi, Houssem Eddine
Data:  2006-01-03
Ano:  2002
Palavras-chave:  Agricultural and Food Policy
Resumo:  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.
Tipo:  Journal Article
Idioma:  Inglês
Identificador:  19410

http://purl.umn.edu/26459
Editor:  AgEcon Search
Relação:  Agricultural Economics Review>Volume 03, Issue 2, August 2002
Formato:  13

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