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Title:
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On the equivalence of location choice models: conditional logit, nested logit and poisson
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Author:
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Schmidheiny, Kurt; Brülhart, Marius
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Notes:
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It is well understood that the two most popular empirical models of location choice-conditional logit and Poisson - return identical coefficient estimates when the regressors are not individual specific. We show that these two models differ starkly in terms of their implied predictions. The conditional logit model represents a zero-sum world, in which one region's gain is the other regions' loss. In contrast, the Poisson model implies a positive-sum economy, in which one region's gain is no other region's loss. We also show that all intermediate cases can be represented as a nested logit model with a single outside option. The nested logit turns out to be a linear combination of the conditional logit and Poisson models. Conditional logit and Poisson elasticities mark the polar cases and can therefore serve as boundary values in applied research. |
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Subject(s):
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-Localització industrial
-Empirisme
-Anàlisi de regressió
-Industrial location
-Empiricism
-Regression analysis |
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Rights:
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cc-by-nc-nd, (c) Schmidheiny et al., 2009
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
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Document type:
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Working Paper |
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Published by:
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Institut d’Economia de Barcelona
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