Registro completo |
Provedor de dados: |
AgEcon
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País: |
United States
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Título: |
The effect of long-run identification on impulse-response functions: An application to the relationship between macroeconomics and agriculture in Tunisia
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Autores: |
Ben Kaabia, Monia
Gil, Jose Maria
Chebbi, Houssem Eddine
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Data: |
2006-01-03
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Ano: |
2002
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Palavras-chave: |
Agricultural and Food Policy
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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.
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Tipo: |
Journal Article
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Idioma: |
Inglês
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Identificador: |
19410
http://purl.umn.edu/26459
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Editor: |
AgEcon Search
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Relação: |
Agricultural Economics Review>Volume 03, Issue 2, August 2002
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Formato: |
13
application/pdf
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