A Probabilistic Model For Testing Hypothesized Hierarchical Market Structures

Rajiv Grover and William R. Dillon
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Rajiv Grover: Pennsylvania State University
William R. Dillon: City University of New York

Marketing Science, 1985, vol. 4, issue 4, 312-335

Abstract: In this paper a methodology for hierarchical market structure analysis is derived and illustrated. A probabilistic model is developed which provides a general, flexible framework which can be used to test hypothesized hierarchical market structures. Because the general probabilistic model can be translated in terms of a it can be easily implemented. Among its other benefits, the proposed methodology, utilizing panel data, tracks households over a number of switches, furnishes explicit statistical tests for alternative hypothesized tree structures, as well as individual parameters, and can potentially identify clusters of households who structure the market in similar ways.

Keywords: hierarchical market structures; latent class models (search for similar items in EconPapers)
Date: 1985
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormksc:v:4:y:1985:i:4:p:312-335

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