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Structural choice analysis with nested logit models

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  • Florian Heiss

    (University of Mannheim)

Abstract

The nested logit model has become an important tool for the empirical analysis of discrete outcomes. There is some confusion about its specification of the outcome probabilities. Two major variants show up in the literature. This paper compares both and Þnds that one of them (called random utility maximization nested logit, RUMNL) is preferable in most situations. Since the command nlogit of Stata 7.0 implements the other variant (called non-normalized nested logit, NNNL), an implementation of RUMNL called nlogitrum is introduced.Numerous examples support and illustrate the differences between both specifications. Copyright 2002 by Stata Corporation.

Suggested Citation

  • Florian Heiss, 2002. "Structural choice analysis with nested logit models," Stata Journal, StataCorp LP, vol. 2(3), pages 227-252, August.
    • Handle: RePEc:tsj:stataj:v:2:y:2002:i:3:p:227-252
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    References listed on IDEAS

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    1. Koppelman, Frank S. & Wen, Chieh-Hua, 1998. "Alternative nested logit models: structure, properties and estimation," Transportation Research Part B: Methodological, Elsevier, vol. 32(5), pages 289-298, June.
    2. Borsch-Supan, Axel, 1990. "On the compatibility of nested logit models with utility maximization," Journal of Econometrics, Elsevier, vol. 43(3), pages 373-388, March.
    3. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304.
    4. Gary L. Hunt, 2000. "Alternative Nested Logit Model Structures and the Special Case of Partial Degeneracy," Journal of Regional Science, Wiley Blackwell, vol. 40(1), pages 89-113, February.
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