Nonparametric Identification of Discrete Choice Models

In this paper we give simple proofs of identification results in discrete choice models for the case where neither the deterministic part nor the distribution function of the random parts of the utility function is specified parametrically. The regularity conditions imposed are standard, but differ from conditions applied by other researchers, such as Matzkin (1992, 1993).

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Year of publication:	1998-07
Authors:	Dagsvik, John K.
Institutions:	Statistisk Sentralbyrå, Government of Norway
Subject:	Nonparametric identification \| Discrete choice \| Random utility models

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Extent:	application/pdf
Series:	Discussion Papers.
Type of publication:	Book / Working Paper
Classification:	C14 - Semiparametric and Nonparametric Methods ; C25 - Discrete Regression and Qualitative Choice Models
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10004980904