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On the Equivalence of Location Choice Models: Conditional Logit, Nested Logit and Poisson Author info | Abstract | Publisher info | Download info | Related research | Statistics Kurt Schmidheiny ()
Marius Brülhart ()
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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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Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number
CESifo Working Paper No. 2726.
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Date of creation: 2009Date of revision:
Handle: RePEc:ces:ceswps:_2726Contact details of provider: Postal: Poschingerstrasse 5, 81679 Munich Phone: +49 (89) 9224-0 Fax: +49 (89) 985369 Web page: http://www.cesifo.de
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Keywords: firm location ; residential choice ; conditional logit ; nested logit ; Poisson count model ; Other versions of this item:
Find related papers by JEL classification: C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models H73 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Interjurisdictional Differentials and Their Effects R30 - Urban, Rural, and Regional Economics - - Production Analysis and Firm Location - - - General
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