文章基本信息

标题：The Outside Good Bias in Logit Models of Demand with Aggregate Data
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作者：Dongling Huang ; Christian Rojas
期刊名称：Economics Bulletin
电子版ISSN：1545-2921
出版年度：2013
卷号：33
期号：1
页码：198-206
出版社：Economics Bulletin
摘要：The logit model is the most popular tool for estimating demand in differentiated products markets. However, in its aggregate version, practitioners have to “guess” the size outside good. We propose a way to remove the bias created by an inaccurate guess in simpler versions of the model.
关键词：Logit model; demand estimation; outside good; differentiated products