The effect of long-run identification on impulse-response functions: An application to the relationship between macroeconomics and agriculture in Tunisia
AbstractThe 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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Bibliographic InfoArticle provided by Greek Association of Agricultural Economists in its journal Agricultural Economics Review.
Volume (Year): 03 (2002)
Issue (Month): 2 (August)
Agricultural and Food Policy;
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- Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-72, June.
- Bessler, David A & Babula, Ronald A, 1987. "Forecasting Wheat Exports: Do Exchange Rates Matter?," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(3), pages 397-406, July.
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