IDEAS home Printed from https://ideas.repec.org/a/ptu/bdpart/re202113.html
   My bibliography  Save this article

Consumption expenditure during the COVID-19 pandemic: an analysis based on Portuguese card transaction data

Author

Listed:
  • Sónia Cabral
  • Cristina Manteu
  • Sara Serra
  • Cátia Silva

Abstract

No abstract is available for this item.

Suggested Citation

  • Sónia Cabral & Cristina Manteu & Sara Serra & Cátia Silva, 2021. "Consumption expenditure during the COVID-19 pandemic: an analysis based on Portuguese card transaction data," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    • Handle: RePEc:ptu:bdpart:re202113
    as

    Download full text from publisher

    File URL: https://www.bportugal.pt/sites/default/files/anexos/papers/re202113_en.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paulo Rodrigues & Paulo Esteves, 2010. "Calendar effects in daily ATM withdrawals," Economics Bulletin, AccessEcon, vol. 30(4), pages 2587-2597.
    2. Sébastien Kraenzlin & Christoph Meyer & Thomas Nellen, 2020. "COVID-19 and regional shifts in Swiss retail payments," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-20, December.
    3. Hacıoğlu-Hoke, Sinem & Känzig, Diego R. & Surico, Paolo, 2021. "The distributional impact of the pandemic," European Economic Review, Elsevier, vol. 134(C).
    4. Lourenço, Nuno & Rua, António, 2021. "The Daily Economic Indicator: tracking economic activity daily during the lockdown," Economic Modelling, Elsevier, vol. 100(C).
    5. Duarte, Cláudia & Rodrigues, Paulo M.M. & Rua, António, 2017. "A mixed frequency approach to the forecasting of private consumption with ATM/POS data," International Journal of Forecasting, Elsevier, vol. 33(1), pages 61-75.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:ptu:bdpart:e202113 is not listed on IDEAS
    2. Gurgul Henryk & Suder Marcin, 2016. "Calendar and Seasonal Effects on the Size of Withdrawals from Atms Managed By Euronet," Statistics in Transition New Series, Statistics Poland, vol. 17(4), pages 691-722, December.
    3. Miescu, Mirela & Rossi, Raffaele, 2021. "COVID-19-induced shocks and uncertainty," European Economic Review, Elsevier, vol. 139(C).
    4. John Gathergood & Fabian Gunzinger & Benedict Guttman-Kenney & Edika Quispe-Torreblanca & Neil Stewart, 2020. "Levelling Down and the COVID-19 Lockdowns: Uneven Regional Recovery in UK Consumer Spending," Papers 2012.09336, arXiv.org, revised Dec 2020.
    5. Timo Wollmershäuser & Stefan Ederer & Maximilian Fell & Friederike Fourné & Max Lay & Robert Lehmann & Sebastian Link & Sascha Möhrle & Ann-Christin Rathje & Radek Šauer & Moritz Schasching & Marcus S, 2023. "ifo Konjunkturprognose Sommer 2023: Inflation flaut langsam ab – aber Konjunktur lahmt noch," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 76(Sonderaus), pages 01-53, June.
    6. James Chapman & Ajit Desai, 2021. "Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19," Staff Working Papers 21-2, Bank of Canada.
    7. Jonker, Nicole & van der Cruijsen, Carin & Bijlsma, Michiel & Bolt, Wilko, 2022. "Pandemic payment patterns," Journal of Banking & Finance, Elsevier, vol. 143(C).
    8. Santiago Etchegaray Alvarez, 2022. "Proyecciones macroeconómicas con datos en frecuencias mixtas. Modelos ADL-MIDAS, U-MIDAS y TF-MIDAS con aplicaciones para Uruguay," Documentos de trabajo 2022004, Banco Central del Uruguay.
    9. Kotkowski, Radoslaw & Polasik, Michal, 2021. "COVID-19 pandemic increases the divide between cash and cashless payment users in Europe," Economics Letters, Elsevier, vol. 209(C).
    10. Hinterlang, Natascha & Moyen, Stephane & Röhe, Oke & Stähler, Nikolai, 2023. "Gauging the effects of the German COVID-19 fiscal stimulus package," European Economic Review, Elsevier, vol. 154(C).
    11. Marina Yu. Malkina, 2021. "How the 2020 pandemic affected tax revenues in Russian regions?," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(2), pages 239-260, June.
    12. Martin O'Connell & Áureo de Paula & Kate Smith, 2021. "Preparing for a pandemic: spending dynamics and panic buying during the COVID‐19 first wave," Fiscal Studies, John Wiley & Sons, vol. 42(2), pages 249-264, June.
    13. Augeraud-Véron, Emmanuelle & Fabbri, Giorgio & Schubert, Katheline, 2021. "Prevention and mitigation of epidemics: Biodiversity conservation and confinement policies," Journal of Mathematical Economics, Elsevier, vol. 93(C).
    14. Martin Brown & Matthias R. Fengler & Jonas Huwyler & Winfried Koeniger & Rafael Lalive & Robert Rohrkemper, 2023. "Monitoring consumption Switzerland: data, background, and use cases," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-16, December.
    15. Agnieszka Huterska & Anna Iwona Piotrowska & Joanna Szalacha-Jarmużek, 2021. "Fear of the COVID-19 Pandemic and Social Distancing as Factors Determining the Change in Consumer Payment Behavior at Retail and Service Outlets," Energies, MDPI, vol. 14(14), pages 1-18, July.
    16. Alberto Urtasun & Mara Gil & Javier J. Perez, 2017. "Nowcasting private consumption: traditional indicators, uncertainty measures, and the role of internet search query data," EcoMod2017 10745, EcoMod.
    17. Thomas F Crossley & Paul Fisher & Hamish Low & Peter Levell, 2023. "A year of COVID: the evolution of labour market and financial inequalities through the crisis," Oxford Economic Papers, Oxford University Press, vol. 75(3), pages 589-612.
    18. Robert Lehmann & Sascha Möhrle, 2024. "Forecasting regional industrial production with novel high‐frequency electricity consumption data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 1918-1935, September.
    19. Santiago E. Alvarez & Sarah M. Lein, 2020. "Tracking inflation on a daily basis," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-13, December.
    20. Cláudia Duarte, 2016. "A Mixed Frequency Approach to Forecast Private Consumption with ATM/POS Data," Working Papers w201601, Banco de Portugal, Economics and Research Department.
    21. James MacGee & Thomas Michael Pugh & Kurt See, 2022. "The heterogeneous effects of COVID‐19 on Canadian household consumption, debt and savings," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 54-87, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ptu:bdpart:re202113. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: DEE-NTD (email available below). General contact details of provider: https://edirc.repec.org/data/bdpgvpt.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.