IDEAS home Printed from https://ideas.repec.org/a/brc/brccej/v9y2024i2p126-138.html

Identifying The Relationship Between Mathematical Pisa Score And Financial Knowledge

Author

Listed:
  • Laura - Filofteia PANOIU

    (“Constantin Brancoveanu” University of Pitesti, Romania)

  • Remus GRIGORESCU

    (“Constantin Brancoveanu” University of Pitesti, Romania)

  • Sorin Daniel MANOLE

    (“Constantin Brancoveanu” University of Pitesti, Romania)

Abstract

Financial education is an essential component in making consumers more accountable, as it helps with the understanding of managing finances, with the purpose of avoiding risks and a possible financial exclusion. This is a key element in rebuilding consumers' confidence in the financial system. In the context of the effects of the financial crisis, European regulators are focusing on higher protection of the consumer regarding financial products and services. Considering that financial education and providing access to basic financial services represent national priorities, it creates a necessity to commence national programs, involving the state, with the purpose of reaching an appropriate understanding of the financial phenomenon. Financial education facilitates maintaining a financial balance, reinforces proper behavior regarding managing income and saving money/investing. The paper at hand shows that the mathematical PISA score impacts the level of financial knowledge.

Suggested Citation

  • Laura - Filofteia PANOIU & Remus GRIGORESCU & Sorin Daniel MANOLE, 2024. "Identifying The Relationship Between Mathematical Pisa Score And Financial Knowledge," Contemporary Economy Journal, Constantin Brancoveanu University, vol. 9(2), pages 126-138.
    • Handle: RePEc:brc:brccej:v:9:y:2024:i:2:p:126-138
    as

    Download full text from publisher

    File URL: http://www.revec.ro/papers/240214.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:brc:brccej:v:9:y:2024:i:2:p:126-138. 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: Cristina GANESCU (email available below). General contact details of provider: http://www.univcb.ro/ .

    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.