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  • March 2018
  • Article
  • Review of Economics and Statistics

Scraped Data and Sticky Prices

By: Alberto Cavallo
  • Format:Print
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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 zero, 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.

Keywords

Online Data; Scraped Data; Sticky Prices; Scanner Data; Consumer Price Index; Price; Data and Data Sets

Citation

Cavallo, Alberto. "Scraped Data and Sticky Prices." Review of Economics and Statistics 100, no. 1 (March 2018): 105–119.

Supplemental Information

Data and Replication Files
Journal's Dataverse
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Harvard Dataverse
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About The Author

Alberto F. Cavallo

Business, Government and the International Economy
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