IDEAS home Printed from https://ideas.repec.org/a/eee/beexfi/v10y2016icp75-87.html
   My bibliography  Save this article

The Credit Card Use and Debt: Is there a trade-off between compulsive buying and ill-being perception?

Author

Listed:
  • Vieira, Kelmara Mendes
  • de Oliveira, Marta Olivia Rovedder
  • Kunkel, Franciele Inês Reis

Abstract

The differential of this paper is to consider that compulsive buying and ill-being perception constructs act in opposite dimensions on credit card use and debt. While compulsive buying leads the individual to a higher credit card usage and therefore more debt, the perception that future financial problems would cause ill-being acts as a controlling force of the credit card use and consequently of the debt. Besides the model development, this study aims to evaluate if the model is suitable for men and women. A survey was conducted with 1831 individuals of three regions of Brazil. Results support the idea that in the purchase decision-making process with credit card, two forces act in opposite directions, while the compulsive buying stimulates usage and debt, the ill-being perception discourages it. However, this trade-off is unbalanced, because the impact of compulsive buying’s coefficients is superior to the ill-being perception ones.

Suggested Citation

  • Vieira, Kelmara Mendes & de Oliveira, Marta Olivia Rovedder & Kunkel, Franciele Inês Reis, 2016. "The Credit Card Use and Debt: Is there a trade-off between compulsive buying and ill-being perception?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 10(C), pages 75-87.
  • Handle: RePEc:eee:beexfi:v:10:y:2016:i:c:p:75-87
    DOI: 10.1016/j.jbef.2016.03.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214635016300090
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jbef.2016.03.001?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
    ---><---

    Citations

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


    Cited by:

    1. Büşra Alma Çallı & Erman Coşkun, 2021. "A Longitudinal Systematic Review of Credit Risk Assessment and Credit Default Predictors," SAGE Open, , vol. 11(4), pages 21582440211, November.
    2. Kumar, Satish & Rao, Sandeep & Goyal, Kirti & Goyal, Nisha, 2022. "Journal of Behavioral and Experimental Finance: A bibliometric overview," Journal of Behavioral and Experimental Finance, Elsevier, vol. 34(C).
    3. Heo, Wookjae & Lee, Jae Min & Park, Narang & Grable, John E., 2020. "Using Artificial Neural Network techniques to improve the description and prediction of household financial ratios," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
    4. Mette, Frederike Monika Budiner & de Matos, Celso Augusto & Rohden, Simoni F. & Ponchio, Mateus Canniatti, 2019. "Explanatory mechanisms of the decision to buy on credit: The role of materialism, impulsivity and financial knowledge," Journal of Behavioral and Experimental Finance, Elsevier, vol. 21(C), pages 15-21.
    5. Bertran, Maria Paula & Echeverry, David, 2021. "What is the size of credit card debt in Brazil? Reporting Thresholds, Interest Rates and Income Distribution," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    6. Hassad Bin Hassan & Sahadah Hj. Abdullah* & Junainor Bt. Hassan, 2018. "A Conceptual Framework on Social Platform, Compulsive Buying and Responsible Use towards Credit Card Debt among Young Adult," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 30-35:4.
    7. Tomasz Korol, 2021. "Evaluation of the Macro- and Micro-Economic Factors Affecting the Financial Energy of Households," Energies, MDPI, vol. 14(12), pages 1-14, June.
    8. Rahul Khandelwal & Ashutosh Kolte & Nitin Veer & Pratik Sharma, 2022. "Compulsive Buying Behaviour of Credit Card Users and Affecting Factors Such as Financial Knowledge, Prestige and Retention Time: A Cross-sectional Research," Vision, , vol. 26(2), pages 172-180, June.

    More about this item

    Keywords

    Credit Card Use; Credit Card Debt; Materialism; Compulsive buying; Ill-being; Structural Equation Modeling;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    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:eee:beexfi:v:10:y:2016:i:c:p:75-87. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-behavioral-and-experimental-finance .

    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.