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Income-related inequality in gambling: evidence from Italy

Author

Listed:
  • Giuliano Resce

    (Italian National Research Council (CNR))

  • Raffaele Lagravinese

    (Università di Bari “A.Moro”)

  • Elisa Benedetti

    (Italian National Research Council (CNR))

  • Sabrina Molinaro

    () (Italian National Research Council (CNR))

Abstract

In this paper we document the income-related inequality in gambling. We employ a novel database from 2014–2017 waves of the Italian Population Survey on Alcohol and other Drugs (IPSAD) which also include information on the preferences for games of chance. Following the Erryegers Index, our findings suggest that traditional lotteries are concentrated among the richest individuals, while betting and new generation games tend to be pro-poor games. The decomposition of income-related inequalities reveals that pro-rich inequality observed in traditional games is mainly driven by gender, age, and working condition. Higher components of the pro-poor inequality observed in betting and new generation games come instead from income and age. Since the pro-poor games are also the major contributors of the growth in gambling turnover and the increase in gambling disorders, our results indicate that a relevant part of increasing social costs associated to gambling are more likely to be paid by the less-well off, and potentially most vulnerable members of the society.

Suggested Citation

  • Giuliano Resce & Raffaele Lagravinese & Elisa Benedetti & Sabrina Molinaro, 2019. "Income-related inequality in gambling: evidence from Italy," Review of Economics of the Household, Springer, vol. 17(4), pages 1107-1131, December.
  • Handle: RePEc:kap:reveho:v:17:y:2019:i:4:d:10.1007_s11150-019-09468-9
    DOI: 10.1007/s11150-019-09468-9
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    References listed on IDEAS

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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. L’Italia che gioca d’azzardo
      by Elisa Benedetti, Raffaele Lagravinese, Sabrina Molinaro e Giuliano Resce in La Voce on 2019-11-19 10:53:11

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    Keywords

    Income; Gambling; Inequality; Italy;

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