第538期岭南学术论坛（管理学系列Seminar）

报告题目：Aggregation Bias in Estimating Linear and Log-Log Demand Functions

报 告 人：杨超林（上海财经大学  副教授）

主 持 人：徐佳焱（中山大学岭南学院   助理教授）

时      间：2019年6月14日（周五）下午4:10-5:40

地      点：MBA楼801

语      言：中文+英文

摘要：

In this paper, we consider the problem of estimating demand functions using historical sales data. In particular, we study how using aggregate data may result in bias in such estimations. We consider two demand models, a linear model and a log-log model, and two ways of how the price in the aggregate data is calculated, simple average price or weighted average price. We study whether there exists estimation bias in each of the four cases as well as the direction of the bias. We show that in general, the correlation between average price and price dispersion in each time period has an effect on the direction of the bias. We then propose ways to reduce the aggregation bias. We also perform numerical experiments using empirical data from TMall.com and the numerical experiments show that our results can help predict the direction of the bias as well as reduce the bias.

报告人简介:

Chaolin Yang is an associate professor in the School of Information Management and Engineering at Shanghai University of Finance and Economics (SUFE). Before joining SUFE in 2015, he earned a Ph.D in Systems Engineering and Engineering Management from the Chinese University of Hong Kong. His research interests include supply chain, inventory and revenue management. His research has been published in journals such as Operations Research and Management Science. He has consulted for several companies on their inventory strategy optimization such as JD.com and SF Technology.

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        中山大学岭南学术论坛分经济、金融和管理三个系列，是定期邀请国内外优秀学者前来开展学术交流的平台。每系列每个月定期举办2-3次。目前已经成功举办多期，并得到了各界的高度评价。