Scraped Data and Sticky Prices
Author(s)
Cavallo, Alberto F.
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I use daily prices collected from online retailers in five countries to study the impact of measurement bias on three common price stickiness statistics. Relative to previous results, I find that online prices have longer durations, with fewer price changes close to 0, and hazard functions that initially increase over time. I show that time-averaging and imputed prices in scanner and CPI data can fully explain the differences with the literature. I then report summary statistics for the duration and size of price changes using scraped data collected from 181 retailers in 31 countries.
Date issued
2016-11Department
Sloan School of ManagementJournal
Review of Economics and Statistics
Publisher
MIT Press
Citation
Cavallo, Alberto. “Scraped Data and Sticky Prices.” The Review of Economics and Statistics, November 2016. © 2016 MIT Press
Version: Final published version
ISSN
0034-6535
1530-9142