Scraped Data and Sticky Prices

Alberto Cavallo

The Review of Economics and Statistics, 2018, vol. 100, issue 1, 105-119

Abstract: 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: 2018
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Citations: View citations in EconPapers (44)

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Working Paper: Scraped Data and Sticky Prices (2015)
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