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Journal of Gambling Studies

, Volume 9, Issue 2, pp 121–151 | Cite as

Gambling as a rational addiction

  • Pamela Mobilia
Articles

Abstract

This paper applies the Becker-Murphy model of rational addiction to gambling and tests the hypotheses of the model empirically using data on pari-mutuel betting at horse tracks from 1950 through 1987. Gambling demand equations which explicitly account for the fact that gambling is an addictive behavior are derived from the Becker-Murphy theoretical model of rational addictive behavior. The effectiveness of changing the takeout rate, the price variable, on gambling behavior, is examined within the addictive framework. Using instrumental variables techniques, gambling demand equations are estimated, with the results supporting the hypothesis of model of rational addictive behavior. In particular, significant inter-temporal linkages are found in gambling consumption, confirming the assumption that gambling is addictive. Future events are found to have a significant impact on current consumption, implying that individuals are not behaving myopically. The long run price elasticities of demand implied by the estimates obtained for the addictive demand equation for handle per attendee is approximately −0.68, significantly larger (by approximately a third) than those obtained from demand equations estimated under the hypothesis of nonaddictive behavior (with an elasticity of −0.454). This reaffirms that the takeout rate is an effective policy instrument for state governments as they set the price of gambling.

Keywords

Instrumental Variable Policy Instrument Future Event Price Elasticity Variable Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Human Sciences Press, Inc. 1993

Authors and Affiliations

  • Pamela Mobilia
    • 1
    • 2
  1. 1.Brooklyn College of the City University of New YorkUSA
  2. 2.National Bureau of Economic ResearchUSA

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