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

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.

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Year of publication:	2002
Authors:	Ronning, Gerd
Published in:	Econometric Reviews. - Taylor & Francis Journals, ISSN 0747-4938. - Vol. 21.2002, 1, p. 135-146
Publisher:	Taylor & Francis Journals
Subject:	Experimental design \| Maximum likelihood \| Multinomial logit

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Extent:	text/html
Type of publication:	Article
Classification:	C13 - Estimation ; C25 - Discrete Regression and Qualitative Choice Models
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005644446