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Scraped Data and Sticky Prices

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  • Alberto Cavallo

Abstract

This paper introduces Scraped Data as a new source of micro-price information to measure price stickiness. Scraped data, collected from online retailers, have no time averaging or imputed prices that can affect pricing statistics in traditional sources of micro-price data. Using daily prices of 80 thousand products collected in five countries with varying degrees of inflation, including the US, I find that relative to previous findings in the literature, scraped online prices tend to be stickier, with fewer price changes close to zero percent, and with hump-shaped hazard functions that initially increase over time. I show that the sampling characteristics of the data, which minimize measurement biases, explain most of the differences with the literature. Using the cross-section of countries, I also show that only the relative frequency of price increases over decreases correlates with inflation.

Suggested Citation

  • Alberto Cavallo, 2015. "Scraped Data and Sticky Prices," NBER Working Papers 21490, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:21490
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    References listed on IDEAS

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    JEL classification:

    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General

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