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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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