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    Published on Thursday, November 3, 2022 | Updated on Thursday, November 3, 2022

    Big Data techniques used

    Global | Measuring consumers inflation expectations using data from the media

    Summary

    Media is a relevant source of information for households to form their inflation expectations. We identified salient products from CPI basket and built a high frequency news based indicator (GDELT) to monitor the volume of news about “salient” goods prices by geography.

    Key points

    • Key points:
    • Our news based indicator has a high correlation with other inflation expectations surveys.
    • We also extend the analysis to capture firms’ inflation expectations monitoring second round effects in the media, disentangling between wage or salary costs, oil or fuel costs, energy and electricity costs and financial costs.
    • Inflation expectations shape consumers’ decisions such as type of consumption, savings, investment, and wage bargaining.
    • How expectations of future inflation are formed by households is a key issue and can diverge from market and analysts.
    • We analyze how the volume of inflation-related news mimic consumer’s inflation expectations.

    Geographies

    Authors

    Tomasa Rodrigo BBVA Research - Lead Economist
    Alvaro Ortiz BBVA Research - Head of Analysis with Big Data
    Sirenia Vázquez BBVA Research - Principal Economist
    José Leiva Murillo BBVA Research
    Cecilia Posadas BBVA Research - Principal Economist
    Noelia Cámara BBVA Research - Principal Economist
    David Esteban Montes
    Mert Yazal
    Victor Moreno Azofra
    Jesus Lozano BBVA Regulation - Regulation Senior Manager

    Documents and files

    Report (PDF)

    Salient_products_GDELT.pdf

    English - November 3, 2022

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