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

Elrod, Terry and Keane, Michael (1995): A Factor-Analytic Probit Model for Representing the Market Structure in Panel Data. Published in: Journal of Marketing Research , Vol. 32, (February 1995): pp. 1-16.

Abstract

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.

• Item Type: MPRA Paper
• Language: English
• Keywords: Probit Model; Factor Analysis; Discrete Choice; Heterogeneity; Simulation based inference; Scanner data; Panel data
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General; C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C33 - Panel Data Models ; Spatio-temporal Models; C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C35 - Discrete Regression and Qualitative Choice Models ; Discrete Regressors ; Proportions; C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C38 - Classification Methods ; Cluster Analysis ; Principal Components ; Factor Models; C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C52 - Model Evaluation, Validation, and Selection; L - Industrial Organization > L1 - Market Structure, Firm Strategy, and Market Performance; M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M3 - Marketing and Advertising > M31 - Marketing

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