A Logit Model of Brand Choice Calibrated on Scanner Data - Hardcover

Guadagni, Peter M; Little, John D C

Hardcover

ISBN 10: 1024185745 ISBN 13: 9781024185744

Publisher: Hutson Street Press, 2025

Synopsis

This work presents "A Logit Model of Brand Choice Calibrated on Scanner Data." It explores the application of the logit model to understand and predict consumer brand choices, utilizing data obtained from scanner technology. This research is relevant to the fields of marketing, econometrics, and statistics, offering insights into consumer behavior and the effectiveness of marketing strategies.

The study by Guadagni and Little contributes to the quantitative analysis of consumer choices, providing a framework for marketers and analysts to model and predict brand preferences based on observed purchasing patterns. The use of scanner data allows for a granular and data-driven approach to understanding consumer behavior, making it a valuable resource for those interested in data-driven marketing and econometrics.

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Edition details

• Publisher: Hutson Street Press
• Publication date: 2025
• Language: English
• ISBN 10: 1024185745
• ISBN 13: 9781024185744
• Binding: Hardcover
• Number of pages: 64