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
收藏
页码：15 / 20
页数：6
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