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ESTIMATION OF DISCRETE CHOICE MODELS WITH MINIMAL VARIATION OF ALTERNATIVE-SPECIFIC VARIABLES 

Author: Gerd Ronning a
Affiliation:   a Eberhard-Karls-Universitaumlt Tuumlbingen, Tuumlbingen, Germany
DOI: 10.1081/ETC-120008727
Publication Frequency: 6 issues per year
Published in: journal Econometric Reviews, Volume 21, Issue 1 January 2002 , pages 135 - 146
Formats available: HTML (English) : PDF (English)
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Abstract

The paper states conditions for minimal variation within the explanatory variables such that the maximum likelihood estimate of the coefficient vector in the discrete choice logit model is unique. Special emphasis is given to the case that (almost) all individuals observe the same set of alternative-specific explanatory variables. The aspect of 'experimental design' in discrete choice models is discussed.
Keywords: Experimental design; Maximum likelihood; Multinomial logit; JEL Classification: C13, C25
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