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National Accounts in a World of Naturally Occurring Data: A Proof of Concept for Consumption

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  • Buda, G.
  • Carvalho, V. M.
  • Hansen, S.
  • Mora, J. V. R.
  • Ortiz, Ã .
  • Rodrigo, T.

Abstract

This paper provides the first proof of concept that naturally occurring transaction data, arising from the decentralized activity of millions of economic agents, can be harnessed to produce national accounts-like objects. We deploy comprehensive transaction-level data and its associated metadata arising from the universe of Spanish retail accounts of Banco Bilbao Vizcaya Argentaria (BBVA). We organize the resulting 3 billion individual transactions by 1.8 million bank customers in a large and highly detailed representative consumption panel to show (i) that the aggregation of such data, once organized according to national accounting principles, can reproduce current official statistics on aggregate consumption in the national accounts with a high degree of precision and, as a result of the richness of transaction data, (ii) produce novel, highly detailed distributional accounts for consumption. Finally, exploiting the panel nature of our data, we (iii) offer a non-parametric analysis of individual consumption dynamics across the consumption distribution.

Suggested Citation

  • Buda, G. & Carvalho, V. M. & Hansen, S. & Mora, J. V. R. & Ortiz, Ã . & Rodrigo, T., 2022. "National Accounts in a World of Naturally Occurring Data: A Proof of Concept for Consumption," Janeway Institute Working Papers 2220, Faculty of Economics, University of Cambridge.
  • Handle: RePEc:cam:camjip:2220
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    1. Claus Thustrup Kreiner & David Dreyer Lassen & Søren Leth-Petersen, 2014. "Measuring the Accuracy of Survey Responses Using Administrative Register Data: Evidence from Denmark," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 289-307, National Bureau of Economic Research, Inc.
    2. Ron S. Jarmin, 2019. "Evolving Measurement for an Evolving Economy: Thoughts on 21st Century US Economic Statistics," Journal of Economic Perspectives, American Economic Association, vol. 33(1), pages 165-184, Winter.
    3. Jesus Fernández-Villaverde & Dirk Krueger, 2007. "Consumption over the Life Cycle: Facts from Consumer Expenditure Survey Data," The Review of Economics and Statistics, MIT Press, vol. 89(3), pages 552-565, August.
    4. Mark Aguiar & Mark Bils, 2015. "Has Consumption Inequality Mirrored Income Inequality?," American Economic Review, American Economic Association, vol. 105(9), pages 2725-2756, September.
    5. Thomas Piketty & Emmanuel Saez & Gabriel Zucman, 2018. "Distributional National Accounts: Methods and Estimates for the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(2), pages 553-609.
    6. Asger Lau Andersen & Emil Toft Hansen & Niels Johannesen & Adam Sheridan, 2022. "Consumer responses to the COVID‐19 crisis: evidence from bank account transaction data," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(4), pages 905-929, October.
    7. Facundo Alvaredo & Anthony B Atkinson & Thomas Blanchet & Lucas Chancel & Luis Estevez Bauluz & Matthew Fisher-Post & Ignacio Flores & Bertrand Garbinti & Jonathan Goupille-Lebret & Clara Martínez-Tol, 2021. "Distributional National Accounts Guidelines Methods and Concepts Used in the World Inequality Database," PSE-Ecole d'économie de Paris (Postprint) hal-03307584, HAL.
    8. Scott R. Baker, 2018. "Debt and the Response to Household Income Shocks: Validation and Application of Linked Financial Account Data," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1504-1557.
    9. Anthony Silungwe & Mr. Andrew Baer & Vanda Guerreiro, 2022. "2020 Global Stocktaking of National Accounts Statistics: Availability for Policy and Surveillance," IMF Working Papers 2022/029, International Monetary Fund.
    10. Facundo Alvaredo & Lucas Chancel & Thomas Piketty & Gabriel Zucman, 2018. "Distributional National Accounts," Post-Print halshs-03342488, HAL.
    11. Mark Aguiar & Erik Hurst, 2013. "Deconstructing Life Cycle Expenditure," Journal of Political Economy, University of Chicago Press, vol. 121(3), pages 437-492.
    12. Olivier Coibion & Yuriy Gorodnichenko & Dmitri Koustas, 2021. "Consumption Inequality and the Frequency of Purchases," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(4), pages 449-482, October.
    13. Arna Olafsson & Michaela Pagel, 2018. "The Liquid Hand-to-Mouth: Evidence from Personal Finance Management Software," The Review of Financial Studies, Society for Financial Studies, vol. 31(11), pages 4398-4446.
    14. Richard Blundell & Luigi Pistaferri & Itay Saporta-Eksten, 2016. "Consumption Inequality and Family Labor Supply," American Economic Review, American Economic Association, vol. 106(2), pages 387-435, February.
    15. Alexis Akira Toda & Kieran Walsh, 2015. "The Double Power Law in Consumption and Implications for Testing Euler Equations," Journal of Political Economy, University of Chicago Press, vol. 123(5), pages 1177-1200.
    16. Dirk Krueger & Fabrizio Perri & Luigi Pistaferri & Giovanni L. Violante, 2010. "Cross Sectional Facts for Macroeconomists," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(1), pages 1-14, January.
    17. Fatih Guvenen & Fatih Karahan & Serdar Ozkan & Jae Song, 2021. "What Do Data on Millions of U.S. Workers Reveal About Lifecycle Earnings Dynamics?," Econometrica, Econometric Society, vol. 89(5), pages 2303-2339, September.
    18. Fatih Guvenen & Greg Kaplan & Jae Song, 2021. "The Glass Ceiling and the Paper Floor: Changing Gender Composition of Top Earners since the 1980s," NBER Macroeconomics Annual, University of Chicago Press, vol. 35(1), pages 309-373.
    19. Garry Barrett & Peter Levell & Kevin Milligan, 2014. "A Comparison of Micro and Macro Expenditure Measures across Countries Using Differing Survey Methods," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 263-286, National Bureau of Economic Research, Inc.
    20. Joseph Vavra, 2021. "Tracking the Pandemic in Real Time: Administrative Micro Data in Business Cycles Enters the Spotlight," Journal of Economic Perspectives, American Economic Association, vol. 35(3), pages 47-66, Summer.
    21. Pistaferri, Luigi, 2015. "Household consumption: Research questions, measurement issues, and data collection strategies," Journal of Economic and Social Measurement, IOS Press, issue 1-4, pages 123-149.
    22. García, Juan R. & Pacce, Matías & Rodrigo, Tomasa & Ruiz de Aguirre, Pep & Ulloa, Camilo A., 2021. "Measuring and forecasting retail trade in real time using card transactional data," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1235-1246.
    23. Orazio P. Attanasio & Luigi Pistaferri, 2016. "Consumption Inequality," Journal of Economic Perspectives, American Economic Association, vol. 30(2), pages 3-28, Spring.
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    1. Buda, G. & Carvalho, V. M. & Corsetti, G. & Duarte, J. B. & Hansen, S. & Moura, A. S. & Ortiz, A. & Rodrigo, T. & Ortiz, A. & Ortiz, A., 2023. "Short and Variable Lags," Cambridge Working Papers in Economics 2321, Faculty of Economics, University of Cambridge.

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