Modelling the Dynamics of Market Shares in a Pooled Data Setting
Résumé
The objective of this paper is twofold: first, to study the applicability of the widely used Autoregressive Distributed Lag Model (ARDL) in a pooled data setting. Second, it is to analyze Chile's market shares in the EU in the period 1988-2002, pointing to application problems that might jeopardize the model and searching for estimation methods that deal with the problem of inter-temporal and cross-sectional correlation of the disturbances. To estimate the coefficients of the ARDL model, Feasible Generalized Least Squares (FGLS) is utilized within the Three Stage Least Squares (3SLS) framework. A computation of errors is added to highlight the susceptibility of the model to problems related to the underlying model assumptions.
Origine : Fichiers produits par l'(les) auteur(s)
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