IDEAS home Printed from https://ideas.repec.org/a/igg/jabe00/v7y2018i4p37-53.html
   My bibliography  Save this article

Analysing the Relationship Between Personal Time Discounting Factors and Risk Related Behaviour

Author

Listed:
  • Horia Daniel Tigau

    (Bucharest University of Economic Studies, Bucharest, Romania)

Abstract

Time discounting factors represent a widely-discussed subject in economics. Several methods are employed in order to collect data on discounting behavior; one of the most popular, also used in this article, is Kirby's Monetary Choice Questionnaire (MCQ). The binary responses in the questionnaire are then processed in order to estimate the k parameters of delay discounting. Two methods of estimation are compared and evaluated – Kaplan's Autoscorer and Wileyto's Logistic Regression Model. Rohrmann's Risk Orientation Questionnaire uses participants' responses to quantify the manifestation of risk related behaviors. In the final analysis of this article, the logistic regression estimates of k and the risk orientation factors are taken into consideration, together with demographic variables, to check for correlations and trends. There were no significant links found between risk orientation and time-discounting. However, there were several significant results at demographic level – for example, a positive correlation of 0.166 between risk aversion and income level during childhood (p = 0.02).

Suggested Citation

  • Horia Daniel Tigau, 2018. "Analysing the Relationship Between Personal Time Discounting Factors and Risk Related Behaviour," International Journal of Applied Behavioral Economics (IJABE), IGI Global, vol. 7(4), pages 37-53, October.
    • Handle: RePEc:igg:jabe00:v:7:y:2018:i:4:p:37-53
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJABE.2018100103
    Download Restriction: no
    ---><---

    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:igg:jabe00:v:7:y:2018:i:4:p:37-53. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.