Gender and gambling preference

被引:2
作者
Bacon, Philomena M. [1 ]
Conte, Anna [2 ]
Moffatt, Peter G. [1 ,3 ]
机构
[1] Univ East Anglia, Sch Econ, Norwich Res Pk, Norwich, England
[2] Univ Roma La Sapienza, Dept Stat Sci, Rome, Italy
[3] Univ East Anglia, Sch Econ, Norwich Res Pk, Norwich NR4 7TJ, England
关键词
Gambling behaviour; gender; panel zero-inflated Poisson model; survey data; PATHOLOGICAL GAMBLERS; RISK; DETERMINANTS; BEHAVIOR; WOMEN;
D O I
10.1080/00036846.2023.2168609
中图分类号
F [经济];
学科分类号
02 ;
摘要
Gambling preferences are analysed using survey data from the wider population. Respondents were confronted with a hypothetical lottery question, in which they were asked to imagine having just won a large prize, and asked how much of this prize they would be willing to invest in a further gamble. We observe the majority of respondents avoiding the gamble altogether. We demonstrate that such behaviour cannot easily be explained by standard models of choice under risk, since it implies implausible degrees of risk aversion. We propose that the observed behaviour can instead be explained in terms of gambling aversion. Since the decision variable takes the form of the number of 'units' of the prize that the respondent wishes to invest in the gamble, and since the decision is observed twice for some respondents, we adopt the panel version of the Zero-Inflated Poisson model as an econometric framework. We assume that individual characteristics affect both stages of the decision-making process. We are particularly interested in the effect of gender, and we find that males have a significantly higher probability of participating in the gamble, and are also (conditional on gambling) prepared to gamble significantly larger amounts.
引用
收藏
页码:426 / 439
页数:14
相关论文
共 37 条
  • [1] A test of risk vulnerability in the wider population
    Bacon, Philomena M.
    Conte, Anna
    Moffatt, Peter G.
    [J]. THEORY AND DECISION, 2020, 88 (01) : 37 - 50
  • [2] Balabanis G., 2002, Journal of Consumer Behaviour, V2, P7, DOI DOI 10.1002/CB.86
  • [3] Gambling behavior: Instant versus traditional lotteries
    Brochado, Ana
    Santos, Maria
    Oliveira, Fernando
    Esperanca, Jose
    [J]. JOURNAL OF BUSINESS RESEARCH, 2018, 88 : 560 - 567
  • [4] Gender Differences in Gambling Exposure and At-risk Gambling Behavior
    Carneiro, Elizabeth
    Tavares, Hermano
    Sanches, Marcos
    Pinsky, Ilana
    Caetano, Raul
    Zaleski, Marcos
    Laranjeira, Ronaldo
    [J]. JOURNAL OF GAMBLING STUDIES, 2020, 36 (02) : 445 - 457
  • [5] Casey E., 2006, Leisure Studies, V25, P3, DOI 10.1080/02614360500150695
  • [6] The econometric modelling of social preferences
    Conte, Anna
    Moffatt, Peter G.
    [J]. THEORY AND DECISION, 2014, 76 (01) : 119 - 145
  • [7] Research and development, competition and innovation - Pseudo-maximum likelihood and simulated maximum likelihood methods applied to count data models with heterogeneity
    Crepon, B
    Duguet, E
    [J]. JOURNAL OF ECONOMETRICS, 1997, 79 (02) : 355 - 378
  • [8] The psychology of cryptocurrency trading: Risk and protective factors
    Delfabbro, Paul
    King, Daniel L.
    Williams, Jennifer
    [J]. JOURNAL OF BEHAVIORAL ADDICTIONS, 2021, 10 (02) : 201 - 207
  • [9] INDIVIDUAL RISK ATTITUDES: MEASUREMENT, DETERMINANTS, AND BEHAVIORAL CONSEQUENCES
    Dohmen, Thomas
    Falk, Armin
    Huffman, David
    Sunde, Uwe
    Schupp, Juergen
    Wagner, Gert G.
    [J]. JOURNAL OF THE EUROPEAN ECONOMIC ASSOCIATION, 2011, 9 (03) : 522 - 550
  • [10] Gambling Preference and the New Year Effect of Assets with Lottery Features*
    Doran, James S.
    Jiang, Danling
    Peterson, David R.
    [J]. REVIEW OF FINANCE, 2012, 16 (03) : 685 - 731