Scraped Data and Sticky Prices
The Review of Economics and Statistics
2018
open access
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.
- DOI
- 10.1162/rest_a_00652
- Volume
- 100 (1)
- Pages
- 105-119
- Language
- en
- Export
- BibTeX
- Sources
- openalex crossref