Import demand estimation with country and product effects : application of multi-way unbalanced panel data models to Lebanese imports
Abstract
Ce papier présente une nouvelle approche pour l'évaluation empirique des élasticités de demande d'importation. Cette approche utilise un système de demande d'importation flexible (Almost Ideal Demand System : AIDS) couplé d'un modèle économétrique incorporant une spécification du terme d'erreur multi-niveaux adaptée aux cylindrées dans le cas des panels. En utilisant des données issues de l'administration des douanes libanaises, on effectue une analyse empirique à un niveau très désagrégé des parts d'importation. Un système de parts d'importation est estimé pour les principaux produits agricoles européens en contrôlant pour des effets fixes produits, pays et année, et en évaluant les effets prix relatifs aux concurrents non européens. Les résultats confirment que la structure du terme d'erreur du modèle empirique est plus riche que celle généralement utilisée dans la littérature.Download Info
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Paper provided by French Institute for Agronomy Research (INRA), Economics Laboratory in Toulouse (ESR Toulouse) in its series Economics Working Paper Archive (Toulouse) with number 200417.Length: 22 p.
Date of creation: 2004
Date of revision:
Handle: RePEc:rea:inrawp:200417
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Postal: INRA ESR - BP27 - 31326 Castanet Tolosan cedex - France
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Postal: INRA ESR - BP27 - 31326 Castanet Tolosan cedex - France
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Related research
Keywords: IMPORTATION; PANEL; ELASTICITE ECONOMIE; MODELE ECONOMETRIQUE; DOUANE ; LIBAN;Find related papers by JEL classification:
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-02-20 (All new papers)
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Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Sckokai, Paolo & Moro, Daniele & Platoni, Silvia, 2008. "Farm-Level Data Model For Agricultural Policy Analysis: A Two-Way Ecm Approach," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6693, European Association of Agricultural Economists.
- Harald Badinger & Peter Egger, 2011. "Estimation of spatial autoregressive M-way error component panel data models," The Annals of Regional Science, Springer, vol. 47(2), pages 269-310, October.
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