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Grocery price setting in times of high inflation: what webscraped data tell us

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We complement the existing literature on price rigidity by calculating statistics on the frequency and size of retail price changes observed in Austria between January 2021 and August 2022, using data scraped from online shop websites. As inflation started going up in September 2021, we split our sample into two parts: January to August 2021 and September 2021 to August 2022. Moreover, we limit our analysis to grocery items, since online supermarkets are a comprehensive and reliable source of daily prices. Our preliminary findings suggest that prices changed significantly more often in the period from September 2021 onward, with about 2.6% of all food prices being adjusted on a given day when we include sale price changes (compared to 1.5% in the period before September 2021). When we exclude sale price changes, we arrive at a daily price change rate of 0.5% (versus 0.2% in the low-inflation period). This corresponds to an average price duration of 38 days including sale price changes (versus 67 days in the low-inflation period) and approximately 200 days excluding sale price changes (versus 500 days before September 2021). While the considerably higher frequency of price changes in the high-inflation period under review affected all product groups observed, the average size of price changes remained broadly stable over time. Hence, we conclude that the current high level of food price inflation is driven mainly by an increase in the frequency of price changes rather than by changes in size. This might indicate that, in the face of a large shock, the frequency of price changes is no longer constant over time – as found in previous periods – but varies with the state of the economy. In other words, it would follow that time-dependent price setting has been replaced by state-dependent price setting.

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  • Christian Beer & Robert Ferstl & Bernhard Graf & Fabio Rumler, 2023. "Grocery price setting in times of high inflation: what webscraped data tell us," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/22-Q1/, pages 43-54.
    • Handle: RePEc:onb:oenbmp:y:2023:i:q4/22-q1/23:b:3
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    References listed on IDEAS

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    1. Fabio Rumler & Alfred Stiglbauer & Josef Baumgartner, 2011. "Patterns and Determinants of Price Changes: Analysing Individual Consumer Prices in Austria," German Economic Review, Verein für Socialpolitik, vol. 12(3), pages 336-350, August.
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    More about this item

    Keywords

    price setting; price rigidity; webscraping; online prices; inflation;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis

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