The paper analyzes how Gini-style indices are optimally used in the evaluation of economic spatial models designed to predict where health care practitioners are likely to locate under competitive market conditions.
At a conceptual level, the analysis establishes that Gini-style indices can be brought to bear on economic models, only if the ordering of geographic areas required to give Gini-coefficient values internal technical coherence also has meaning in terms of the conceptual predictions of the modelling.
This, in turn, implies that Gini-indices are most likely to prove useful for fairly aggregated forms of economic analysis, involving relatively few and large geographic divisions.
Mots-clés Pascal : Modèle économique, Economie spatiale, Répartition géographique, Médecin, Personnel sanitaire, Travailleur social, Densité, Analyse mathématique, Homme, Alberta, Canada, Amérique du Nord, Amérique
Mots-clés Pascal anglais : Economic model, Spatial economy, Geographic distribution, Physician, Health staff, Social worker, Density, Mathematical analysis, Human, Alberta, Canada, North America, America
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Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 94-0314123
Code Inist : 002B30A05. Création : 199406.