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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

Documents and files

Report (PDF)

Salient_products_GDELT.pdf

English - November 3, 2022

Authors

Tomasa Rodrigo
Tomasa Rodrigo Lead economist for Economic analysis with Big Data & AI
BBVA Research
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Alvaro Ortiz
Alvaro Ortiz Head of Economic Analysis with Big Data & AI
BBVA Research
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Sirenia Vázquez
Sirenia Vázquez Principal economist for Spain & Portugal
BBVA Research
More information
JL
José Leiva Murillo
Cecilia Posadas
Cecilia Posadas Principal economist for Global economics
BBVA Research
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Noelia Cámara
Noelia Cámara Principal economist for Financial systems
BBVA Research
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DM
David Esteban Montes
MY
Mert Yazal
VM
Victor Moreno Azofra
Jesus Lozano
Jesus Lozano BBVA Digital regulation & trends More information

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