Scraped Data and Sticky Prices

Alberto  Cavallo

Article | Review of Economics and Statistics | March 2018

Scraped Data and Sticky Prices

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;

Format: Print

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

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In early 2020, a coronavirus pandemic swept the globe, ushering in unprecedented disruptions to the global economy. Both supply and demand were decimated by lockdowns and border closings, as well as reduced spending by fearful consumers. In response, governments around the world made equally unprecedented policy moves, spending trillions of dollars on fiscal stimulus measures to bridge the gap during the self-imposed shutdown. As the pandemic progressed, governments had to weigh the costs between loss of life due to opening up their economies and the economic devastation caused by delaying a reopening.

The HBS COVID-19 Global Policy Tracker is an initiative by the Business, Government and the International Economy (BGIE) unit at Harvard Business School (HBS) to collect and standardize economic policies implemented as a response to the coronavirus pandemic around the world. We focus on fiscal policy, monetary policy, and lockdowns and quantify government responses in common variables, units, and currencies to facilitate cross-country comparisons. The database is updated in real time with the efforts of several dozens of students at HBS and other Harvard schools.

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Scraped Data and Sticky Prices

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