Title: Sculptre: A New Methodology for Deriving and Analyzing Hierarchical Product-Market Structures from Panel Data
Abstract:The authors propose a new methodology for deriving hierarchical product-market structures from disaggregate purchase data. A hierarchical product-market tree is estimated from scanner panel purchase d...The authors propose a new methodology for deriving hierarchical product-market structures from disaggregate purchase data. A hierarchical product-market tree is estimated from scanner panel purchase data in a maximum likelihood framework. The derived product-market representation portrays both products and market segments as terminal nodes in a hierarchical tree where the “closer” a product is to a particular segment, the higher its revealed preference for that product. The hierarchical representation of products and segments as well as the composition of the market segments are derived simultaneously. An empirical application examines the descriptive and predictive validity of the methodology.Read More
Publication Year: 1990
Publication Date: 1990-11-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 42
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot