Modeling Discrete Choice with Uncertain Data : An Augmented MNL Estimator

This article introduces a multinomial logit model that uses ancillary information to control for uncertainty in both the observed choices made by respondents, and in the attributes of a respondent's choice set. Simulated data are used to compare the performance of this estimator versus simpler models, under several different kinds of uncertainty

MoreLess

Year of publication:	[2023]
Authors:	Hellerstein, Daniel
Publisher:	[S.l.] : SSRN
Subject:	Theorie \| Theory \| Risiko \| Risk \| Logit-Modell \| Logit model \| Freizeitverhalten \| Leisure behaviour \| Ressourcenökonomik \| Resource economics \| Tourismusregion \| Tourism destination \| Diskrete Entscheidung \| Discrete choice

freely available

Full text |

More access options

Check Google Scholar

In German libraries (KVK)

I need help

Extent:	1 Online-Ressource (8 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: American Journal of Agricultural Economics, Vol. 87, No. 1, pp. 77-84, February 2005 Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments March 2, 2004 erstellt
Classification:	C25 - Discrete Regression and Qualitative Choice Models
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014348989