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Calendar Effects in Daily ATM Withdrawals

Author

Listed:
  • Paulo Soares Esteves
  • Paulo M.M. Rodrigues

Abstract

This paper analyses the calendar effects present in Automated Teller Machines (ATM) withdrawals of residents, using daily data for Portugal for the period from January 1st 2001 to December 31st 2008. The results presented may allow for a better understanding of consumer habits and for adjusting the original series for calendar effects. Considering the Quarterly National Accounts’ procedure of adjusting data for seasonality and working days effects, this correction is important to ensure the use of the ATM series as an instrument to nowcast private consumption.

Suggested Citation

  • Paulo Soares Esteves & Paulo M.M. Rodrigues, 2010. "Calendar Effects in Daily ATM Withdrawals," Working Papers w201012, Banco de Portugal, Economics and Research Department.
  • Handle: RePEc:ptu:wpaper:w201012
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    File URL: https://www.bportugal.pt/sites/default/files/anexos/papers/wp201012.pdf
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    Cited by:

    1. Nicole Jonker & Mirjam Plooij & Johan Verburg, 2015. "Does a public campaign influence debit card usage? Evidence from the Netherlands," DNB Working Papers 470, Netherlands Central Bank, Research Department.
    2. 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.
    3. Kosse, Anneke, 2013. "Do newspaper articles on card fraud affect debit card usage?," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5382-5391.
    4. Cláudia Duarte & Paulo M.M. Rodrigues & António Rua, 2016. "A Mixed Frequency Approach to Forecast Private Consumption with ATM/POS Data," Working Papers w201601, Banco de Portugal, Economics and Research Department.
    5. repec:kap:jfsres:v:52:y:2017:i:1:d:10.1007_s10693-017-0281-6 is not listed on IDEAS
    6. repec:exl:29stat:v:17:y:2016:i:4:p:691-722 is not listed on IDEAS
    7. Henryk Gurgul & Marcin Suder, 2013. "Modeling of withdrawals from selected ATMs of the "Euronet" network," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 13, pages 65-82.

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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