IDEAS home Printed from https://ideas.repec.org/a/taf/intgms/v14y2014i1p96-114.html
   My bibliography  Save this article

Consumer behaviour in the scratch card market: a double-hurdle approach

Author

Listed:
  • Vishal Chandr Jaunky
  • Bhooshan Ramchurn

Abstract

This paper investigates how various socio-demographic as well as psychological factors are related to the purchasing frequency of Le Millionaire scratch card in Mauritius. In order to obtain a refined description and understanding of consumer behaviour, special attempts have been made to control for the personality traits of an individual. The OCEAN model of personality is thereby considered. We employ cross-sectional micro-data acquired from a household drop-off survey with a sample size of 1135 observations. Within a double-hurdle framework, gender, residential location, educational level, household income, alcohol consumption, other forms of gambling activities, and personality traits are found to be determining factors affecting an individual's decision to gamble in the scratch card market. Our findings help us to draw attention to the consequences of risk-taking behaviours and how personality-specific policies can be designed to influence gambling behaviour.

Suggested Citation

  • Vishal Chandr Jaunky & Bhooshan Ramchurn, 2014. "Consumer behaviour in the scratch card market: a double-hurdle approach," International Gambling Studies, Taylor & Francis Journals, vol. 14(1), pages 96-114, August.
    • Handle: RePEc:taf:intgms:v:14:y:2014:i:1:p:96-114
    DOI: 10.1080/14459795.2013.855251
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14459795.2013.855251
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/14459795.2013.855251?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nils Braakmann, 2009. "The Role of Psychological Traits for the Gender Gap in Full-Time Employment and Wages: Evidence from Germany," SOEPpapers on Multidisciplinary Panel Data Research 162, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Wichert, Laura & Pohlmeier, Winfried, 2010. "Female labor force participation and the big five," ZEW Discussion Papers 10-003, ZEW - Leibniz Centre for European Economic Research.
    3. Nils Braakmann, 2009. "Psychological traits and the gender gap in full-time employment and wages: Evidence from Germany," Working Paper Series in Economics 112, University of Lüneburg, Institute of Economics.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Vishal Chandr Jaunky & Jamiil Jeetoo & Shreya Rampersad, 2020. "Happiness and Consumption in Mauritius: An Exploratory Study of Socio-Economic Dimensions, Basic Needs, Luxuries and Personality Traits," Journal of Happiness Studies, Springer, vol. 21(7), pages 2377-2403, October.
    2. Philomena M. Bacon & Anna Conte & Peter G. Moffatt, 2024. "Gender and gambling preference," Applied Economics, Taylor & Francis Journals, vol. 56(4), pages 426-439, January.
    3. Jiang, Yuan & House, Lisa A., 2017. "Comparison of the Performance of Count Data Models under Different Zero-Inflation Scenarios Using Simulation Studies," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258342, Agricultural and Applied Economics Association.
    4. Edmund R. Thompson & Gerard P. Prendergast & Gerard H. Dericks, 2021. "Personality, Luck Beliefs, and (Non-?) Problem Lottery Gambling," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(2), pages 703-722, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Viinikainen, Jutta & Kokko, Katja, 2012. "Personality traits and unemployment: Evidence from longitudinal data," Journal of Economic Psychology, Elsevier, vol. 33(6), pages 1204-1222.
    2. Acosta,Pablo Ariel & Muller,Noel & Sarzosa,Miguel Alonso, 2015. "Beyond qualifications : returns to cognitive and socio-emotional skills in Colombia," Policy Research Working Paper Series 7430, The World Bank.
    3. Judith Offerhaus, 2013. "The Type to Train?: Impacts of Personality Characteristics on Further Training Participation," SOEPpapers on Multidisciplinary Panel Data Research 531, DIW Berlin, The German Socio-Economic Panel (SOEP).
    4. Trzcinski, Eileen & Holst, Elke, 2011. "A Critique and Reframing of Personality in Labour Market Theory: Locus of Control and Labour Market Outcomes," IZA Discussion Papers 6090, Institute of Labor Economics (IZA).
    5. Collischon, Matthias, 2016. "Personality, ability, marriage and the gender wage gap: Evidence from Germany," FAU Discussion Papers in Economics 08/2016, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    6. Thiel, Hendrik & Thomsen, Stephan L., 2013. "Noncognitive skills in economics: Models, measurement, and empirical evidence," Research in Economics, Elsevier, vol. 67(2), pages 189-214.
    7. Cobb-Clark, Deborah A. & Tan, Michelle, 2011. "Noncognitive skills, occupational attainment, and relative wages," Labour Economics, Elsevier, vol. 18(1), pages 1-13, January.
    8. Flinn, Christopher J. & Todd, Petra E & Zhang, Weilong, 2018. "Personality traits, intra-household allocation and the gender wage gap," European Economic Review, Elsevier, vol. 109(C), pages 191-220.
    9. Konrad C. Schäfer & Jörg Schwiebert, 2018. "The Impact Of Personality Traits On Wage Growth And The Gender Wage Gap," Bulletin of Economic Research, Wiley Blackwell, vol. 70(1), pages 20-34, January.
    10. Chen, Weiwei & Grove, Wayne A. & Hussey, Andrew, 2017. "The role of confidence and noncognitive skills for post-baccalaureate academic and labor market outcomes," Journal of Economic Behavior & Organization, Elsevier, vol. 138(C), pages 10-29.
    11. Jutta Viinikainen & Katja Kokko & Lea Pulkkinen & Jaakko Pehkonen, 2010. "Personality and Labour Market Income: Evidence from Longitudinal Data," LABOUR, CEIS, vol. 24(2), pages 201-220, June.
    12. Leonora Risse & Lisa Farrell & Tim R L Fry, 2018. "Personality and pay: do gender gaps in confidence explain gender gaps in wages?," Oxford Economic Papers, Oxford University Press, vol. 70(4), pages 919-949.
    13. Nordman, Christophe Jalil & Sarr, Leopold & Sharma, Smriti, 2015. "Cognitive, Non-Cognitive Skills and Gender Wage Gaps: Evidence from Linked Employer-Employee Data in Bangladesh," IZA Discussion Papers 9132, Institute of Labor Economics (IZA).
    14. Brieland, Stephanie & Töpfer, Marina, 2020. "The gender pay gap revisited: Does machine learning offer new insights?," Discussion Papers 111, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    15. Krause, Annabelle, 2013. "Don’t worry, be happy? Happiness and reemployment," Journal of Economic Behavior & Organization, Elsevier, vol. 96(C), pages 1-20.
    16. Ksenia V. Rozhkova & Natalya Yemelina & Sergey Yu. Roshchin, 2021. "Can Non-Cognitive Skills Explain The Gender Wage Gap In Russia? An Unconditional Quantile Regression Approach," HSE Working papers WP BRP 252/EC/2021, National Research University Higher School of Economics.
    17. Matthias Collischon, 2020. "The Returns to Personality Traits Across the Wage Distribution," LABOUR, CEIS, vol. 34(1), pages 48-79, March.
    18. Flinn, C. & Todd, P. & Zhang, W., 2020. "Personality Traits, Job Search and the Gender Wage Gap," Cambridge Working Papers in Economics 2053, Faculty of Economics, University of Cambridge.
    19. Brenzel, Hanna & Laible, Marie-Christine, 2016. "Does personality matter? : the impact of the big five on the migrant and gender wage gaps," IAB-Discussion Paper 201626, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    20. Braakmann Nils, 2013. "What Determines Wage Inequality Among Young German University Graduates?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(2), pages 130-158, April.

    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:taf:intgms:v:14:y:2014:i:1:p:96-114. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RIGS20 .

    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.