A Factor-Analytic Probit Model for Representing the Market Structure in Panel Data

Internal market structure analysis infers both brand attributes and consumer preferences for those attributes from preference or choice data. The authors exploit a new method for estimating probit models from panel data to infer market structures that can be displayed in few dimensions, even though the model can represent every possible vector of purchase probabilities.

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Year of publication:	1995-02
Authors:	Elrod, Terry ; Keane, Michael
Institutions:	Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München
Subject:	Probit Model \| Factor Analysis \| Discrete Choice \| Heterogeneity \| Simulation based inference \| Scanner data \| Panel data

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Extent:	application/pdf
Series:	MPRA Paper.
Type of publication:	Book / Working Paper
Classification:	C15 - Statistical Simulation Methods; Monte Carlo Methods ; C33 - Models with Panel Data ; C35 - Discrete Regression and Qualitative Choice Models ; c38 ; C52 - Model Evaluation and Testing ; L1 - Market Structure, Firm Strategy, and Market Performance ; M31 - Marketing
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011113209