IDEAS home Printed from https://ideas.repec.org/p/bdr/borrec/804.html

Cash Management and Payment Choices: A Simulation Model with International Comparisons

Author

Listed:
  • Carlos Arango

  • Yassine Bouhdaouiz

  • David Bounie

  • Martina Eschelbach

  • Lola Hernández

Abstract

Despite various payment innovations, today, cash is still heavily used to pay for low-value purchases. This paper develops a simulation model to test whether standard implications of the theory on cash management and payment choices can explain the use of payment instruments by transaction size. In particular, using diary survey data from Canada, France, Germany and the Netherlands, we test the assumption that cash is still the most e cient payment instrument, and the idea that people hold cash for precautionary reasons when facing uncertainty about their future purchases. The results of the simulations show that these two factors are signicant determinants of the high shares of low-value cash payments in Canada, France and Germany. Yet, they are not so crucial in the Netherlands, which exhibits a signicant share of low-value card transactions. We discuss how the dierences in payment markets across countries may explain the performance of the model.

Suggested Citation

  • Carlos Arango & Yassine Bouhdaouiz & David Bounie & Martina Eschelbach & Lola Hernández, 2014. "Cash Management and Payment Choices: A Simulation Model with International Comparisons," Borradores de Economia 804, Banco de la Republica de Colombia.
    • Handle: RePEc:bdr:borrec:804
    DOI: 10.32468/be.804
    as

    Download full text from publisher

    File URL: https://doi.org/10.32468/be.804
    Download Restriction: no
    File URL: https://libkey.io/10.32468/be.804?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. John Bagnall & David Bounie & Kim P. Huynh & Anneke Kosse & Tobias Schmidt & Scott Schuh, 2016. "Consumer Cash Usage: A Cross-Country Comparison with Payment Diary Survey Data," International Journal of Central Banking, International Journal of Central Banking, vol. 12(4), pages 1-61, December.
    2. Egor Krivosheya & Polina Belyakova, 2019. "Financial innovations role in consumer behavior at Russian retail payments market," Proceedings of Economics and Finance Conferences 9511955, International Institute of Social and Economic Sciences.
    3. Maixe-Altes, J. Carles & Mourelle, Estefanía, 2016. "Cash and non-cash payments in a long run perspective, Spain 1989-2014," MPRA Paper 72590, University Library of Munich, Germany.
    4. Carlos A. Arango-Arango & Héctor M. Zárate-Solano & Nicolás F. Suárez-Ariza, 2017. "Determinantes del Acceso, Uso y Aceptación de Pagos Electrónicos en Colombia," Borradores de Economia 999, Banco de la Republica de Colombia.
    5. Carlos A. Arango-Arango & Nicol�s F. Su�rez-Ariza & Sergio H. Garrido-Mej�a, 2016. "¿Cómo pagan los colombianos y por qué?," Coyuntura Económica, Fedesarrollo, vol. 46(2), pages 141-167.
    6. Éric Darmon & Laetitia Chaix & Dominique Torre, 2016. "M-payment use and remittances in developing countries: a theoretical analysis," Revue d'économie industrielle, De Boeck Université, vol. 0(4), pages 159-183.
    7. Carin van der Cruijsen & Lola Hernandez & Nicole Jonker, 2017. "In love with the debit card but still married to cash," Applied Economics, Taylor & Francis Journals, vol. 49(30), pages 2989-3004, June.
    8. Eric Darmon & Laetitia Chaix & Torre Dominique, 2016. "M-payment use and remittances in developing countries: a theoretical analysis," Post-Print halshs-01576774, HAL.
    9. Tobias Trütsch, 2016. "The impact of mobile payment on payment choice," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 30(3), pages 299-336, August.

    More about this item

    Keywords

    ;
    ;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:bdr:borrec:804. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Clorith Angélica Bahos Olivera (email available below). General contact details of provider: https://edirc.repec.org/data/brcgvco.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.