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Published on Wednesday, September 28, 2022

Big Data techniques used

Beyond Cards: Measuring Spanish Consumption in Real Time and High Definition

Summary

We provide the first proof of concept that naturally occurring data from millions of financial transactions can be harnessed to estimate national accounts in real time and high definition

Key points

  • Key points:
  • We show how to build up the Consumption National accounts from different means of payments in both levels and growth.
  • We also show how relying only on Card transactions can lead to misleading results of consumption levels and growth given the upward bias of cards especially during post-covid recovery.
  • We design the first ever distributional account system of consumption consistent with national accounts. We show how to understand Inequality in Consumption from different aspects: levels, growth, categories of consumption, age, and gender.
  • We develop a set of consumption indicators in real time and high definition at national, regional, provincial and urban levels as well as at different categories as defined in national accounts. In addition, we can determine in detail the distribution of Co2 emissions in the consumption basket of Spanish households.
  • Finally, we show how this information in real time and high definition constitutes a powerful tool for analysts and policymakers. Information in high definition constitutes a good base for better diagnoses and, furthermore, opens the door for the implementation of smart policies.

Geographies

Documents and files

Note (PDF)

Economic-Watch_Beyond-Cards-_September-2020_including-inequality-Sep22-FV.pdf

Spanish - September 28, 2022

Authors

Alvaro Ortiz
Alvaro Ortiz Head of Economic Analysis with Big Data & AI
BBVA Research
More information
Vasco M. Carvalho
Vasco M. Carvalho University of Cambridge & CEPR More information
GB
Gergely Buda Barcelona School of Economics
Stephen Hansen
Stephen Hansen University College London & CEPR More information
Tomasa Rodrigo
Tomasa Rodrigo Lead economist for Economic analysis with Big Data & AI
BBVA Research
More information
José V. Rodríguez Mora
José V. Rodríguez Mora CUNEF, University of Edimburgo & CEPR More information

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