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来源类型Working Paper
规范类型报告
DOI10.3386/w28639
来源IDWorking Paper 28639
The Pricing Strategies of Online Grocery Retailers
Diego Aparicio; Zachary Metzman; Roberto Rigobon
发表日期2021-04-05
出版年2021
语种英语
摘要Matched product data is collected from the leading online grocers in the U.S. The same exact products are identified in scanner data. The paper documents pricing strategies within and across online (and offline) retailers. First, online retailers exhibit substantially less uniform pricing than offline retailers. Second, online price differentiation across competing chains in narrow geographies is higher than offline retailers. Third, variation in offline elasticities, shipping distance, pricing frequency, and local demo- graphics are utilized to explain price differentiation. Surprisingly, pricing technology (across time) magnifies price differentiation (across locations). This evidence motivates a high-frequency study to unpack the patterns of algorithmic pricing. The data shows that algorithms: personalize prices at the delivery zipcode level, update prices very frequently and in tiny magnitudes, reduce price synchronization, exhibit lower menu costs, constantly explore the price grid, and often match competitors’ prices.
主题Microeconomics ; Behavioral Economics ; Industrial Organization ; Market Structure and Firm Performance ; Firm Behavior ; Other ; Accounting, Marketing, and Personnel ; Development and Growth ; Innovation and R& ; D
URLhttps://www.nber.org/papers/w28639
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/586312
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GB/T 7714
Diego Aparicio,Zachary Metzman,Roberto Rigobon. The Pricing Strategies of Online Grocery Retailers. 2021.
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