Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/296993 
Year of Publication: 
2023
Series/Report no.: 
Working Papers No. 2023-09
Publisher: 
Banco de México, Ciudad de México
Abstract: 
Using data gathered through web scraping techniques, this paper characterizes product categories' frequency, size and dispersion of price changes in eight retail chains in Mexico, and compare them with price statistics stemming from brick and mortar stores data of the same retailers. Notably, between 2016 and 2019, prices observed in brick and mortar stores (offline) change more frequently than those observed on websites (online). However, given a price change, online prices tend to exhibit larger price changes than their offline counterparts. In 2020, period affected by the pandemic, the above relationship across sales channel holds, while the frequency of price changes increased roughly by the same magnitude in both sales channels and the average size of price adjustments did not change relative to previous years. Results from this paper highlight the importance of recognizing the differences between survey and web scraped data.
Subjects: 
Nominal rigidities
Consumer prices
Web scraped data
Survey microdata
JEL: 
E31
L16
Document Type: 
Working Paper
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