Qualitative Choice and Logit Models Applied to Price Optimization

被引：0

作者：

Correa, Luciano ^{[1
]}

机构：

[1] Univ Texas Austin, Jackson Sch Geosci, Austin, TX 78712 USA

来源：

INNOVATIONS AND ADVANCED TECHNIQUES IN SYSTEMS, COMPUTING SCIENCES AND SOFTWARE ENGINEERING | 2008年

关键词：

D O I：

10.1007/978-1-4020-8735-6_4

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Multinomial Logit Model can be implemented in a Qualitative Choice Situation in order to generate an optimal pricing policy. The analysis is based on a simple case where the seller has to define the best combination of prices to offer for two products, considering a single-type of costumers. Three alternative approaches are compared for the computation: Multinomial Logit, Binary Logit, and Two Stage or Logit-Logit. The analysis of the problem involves three phases: Simulation of sales data, Estimation of parameters and Price optimization.

引用

页码：15 / 20

页数：6

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