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The demand and supply of information about inflation

Author

Listed:
  • Massimiliano Marcellino

    (Bocconi University, IGIER, Baffi-Carefin, BIDSA and CEPR)

  • Dalibor Stevanovic

    (University of Quebec in Montreal and CIRANO)

Abstract
In this article we study how the demand and supply of information about inflation affect inflation developments. As a proxy for the demand of information, we extract Google Trends (GT) for keywords such as "inflation", "inflation rate", or "price increase". The rationale is that when agents are more interested about inflation, they should search for information about it, and Google is by now a natural source. As a proxy for the supply of information about inflation, we instead use an indicator based on a (standardized) count of the Wall Street Journal (WSJ) articles containing the word "inflat" in their title. We find that measures of demand (GT) and supply (WSJ) of inflation information have a relevant role to understand and predict actual inflation developments, with the more granular information improving expectation formation, especially so during periods when inflation is very high or low. In particular, the full information rational expectation hypothesis is rejected, suggesting that some informational rigidities exist and are waiting to be exploited. Contrary to the existing evidence, we conclude that the media communication and agents attention do play an important role for aggregate inflation expectations, and this remains valid also when controlling for FED communications.

Suggested Citation

  • Massimiliano Marcellino & Dalibor Stevanovic, 2022. "The demand and supply of information about inflation," Working Papers 22-06, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Nov 2022.
    • Handle: RePEc:bbh:wpaper:22-06
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    References listed on IDEAS

    as
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    Cited by:

    1. David Ardia & Keven Bluteau, 2024. "Optimal Text-Based Time-Series Indices," Papers 2405.10449, arXiv.org.

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    More about this item

    Keywords

    Inflation; Expectations; Google trends; Text analysis;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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