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Are Consumers More Willing to Invest in Luck During Recessions?

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Abstract

We use monthly data on gross expenditure on luck and skill games in Italy to investigate whether people react to recessions investing in activities based on fortune or ability. Luck game expenditure is volatile and positively correlated with unemployment in economic downturns. Naive consumers tend to consider luck games as a potential source of additional income during recessions. Skill game expenditure is persistent over time and uncorrelated with the unemployment rate, suggesting a more balanced attitude of skill consumers. This study provides evidence on the prevailing behavior and reaction of expert or naïve consumers when facing economic downturns.

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Notes

  1. European Commission, http://ec.europa.eu/growth/sectors/gambling_it.

  2. Italian gambling regulatory authority (AAMS) data, http://www.aams.gov.it.

  3. Official AAMS monthly series on aggregate spending in gambling started in January 2009 and ended in October 2012. This publication was never resumed.

  4. The 10-year government bond yield reached a peak of 5925 on July 18, then peaked again at 5891 on July 28.

  5. This intuition is supported formally by the existence of a significant intercept shift in the AR(1) model for the logarithm of the confidence index (P-value lower than 0.001).

  6. The correlation between the male unemployment rate and the confidence index throughout the period is negative, but the relationship changes over time. In the pre-crisis period the correlation between the two is weakly positive (0.46) while after July 2011 a neat negative relationship emerges (−0.84).

  7. Non-significant interaction terms have been dropped in a backward selection process.

  8. Granger and Newbold (1974) suggest that a high value for R\(^{2 }\)combined with a low value of the Durbin Watson statistic is an indication of spurious relationship. Following this indication, we found no signals of spurious regression since the statistics are 2.247 for the skill game regression and 2.271 for the luck game regression.

References

  • Barberis N, Huang M (2008) Stocks as lotteries: the implications of probability weighting for security prices. Am Econ Rev 98:2066–2100

    Article  Google Scholar 

  • Bastiani L, Gori M, Colasante E, Siciliano V, Capitanucci D, Jarre P, Molinaro S (2013) Complex factors and behaviors in the gambling population of Italy. J Gamb Stud 29:1–13

    Article  Google Scholar 

  • Blaszczynski A, Nower L (2002) A pathways model of problem and pathological gambling. Addiction 97:487–499

    Article  Google Scholar 

  • Bordalo P, Gennaioli N, Shleifer A (2013) Salience and asset prices. Am Econ Rev 103:623–628

    Article  Google Scholar 

  • Callois R (1961) Man, play and games. Thames and Hudson, Great Britain

    Google Scholar 

  • Camerer CF (2003) Prospect theory in the wild: evidence from the field. In: Camerer C, Loewenstein G, Rabin M (eds) Advances in behavioral economics. Princeton University Press, Princeton

  • Chantal Y, Vallerand RJ (1996) Skill versus luck: a motivational analysis of gambling involvement. J Gamb Stud 12:407–418

    Article  Google Scholar 

  • Conlisk J (1993) The utility of gambling. J Risk Uncertain 6:255–275

    Article  Google Scholar 

  • Deci EL, Ryan RM (1985) Intrinsic motivation and self-determination in human behavior. Plenum Press, New York

    Book  Google Scholar 

  • De Paola M, Scoppa V (2014) Media exposure and individual choices: evidence from lottery players. Econ Model 38:385–391

    Article  Google Scholar 

  • Di Cesare A, Grande G, Manna M, Taboga M (2012) Recent Estimates of Sovereign Risk Premia for Euro-Area Countries. Bank of Italy Occasional Papers, No. 128

  • Eakins J (2016) Household gambling expenditures and the Irish recession. Int Gamb Stud 16:211–230

  • Epstein RA (1967) The theory of gambling and statistical logic. Academic Press, New York

    Google Scholar 

  • Eraker B, Ready MJ (2015) Do investors overpay for stocks with lottery-like payoffs? An examination of the returns on OTC stocks. J Financ Econ 115:486–504

    Article  Google Scholar 

  • Farrell L, Morgenroth E, Walker I (1999) A time series analysis of UK lottery sales: long and short run price elasticities. Oxford B Econ Stat 61:513–526

    Article  Google Scholar 

  • Farrell L, Walker I (1999) The welfare effects of lotto: evidence from the UK. J Public Econ 72:99–120

    Article  Google Scholar 

  • Forrest D, Gulley DO, Simmons R (2000) Elasticity of demand for UK National Lottery tickets. Natl Tax J 53:853–863

    Article  Google Scholar 

  • Forrest D, Simmons R, Chesters N (2002) Buying a dream: alternative models of demand for lotto. Econ Inq 40:485–496

    Article  Google Scholar 

  • Gandolfo A, De Bonis V (2015) Motivation, personality type and the choice between skill and luck gambling products. J Gamb Bus Econ 9:30–46

    Google Scholar 

  • Garrett TA, Sobel RS (2004) State lottery revenue: the importance of game characteristics. Public Financ Rev 32:313–330

    Article  Google Scholar 

  • Gori M, Potente R, Pitino A, Scalese M, Bastiani L, Molinaro S (2015) Relationship between gambling severity and attitudes in adolescents: findings from a population-based study. J Gamb Stud 31:717–740

    Article  Google Scholar 

  • Granger CW, Newbold P (1974) Spurious regressions in econometrics. J Econ 2:111–120

    Article  Google Scholar 

  • Gu Z (1999) The Impact of the Asian financial crisis on Asian gaming activities: an examination of Las Vegas strip casino drops. Curr Issues Tour 2(4):354–365

    Article  Google Scholar 

  • Gulley DO, Scott FA Jr (1993) The demand for wagering on state-operated lotto games. Natl Tax J 42:13–22

  • Hayatbakhsh MR, Najman JM, Aird R, Bor W, O’Callaghan M, Williams G, Shuttlewood G, Heron Alati RM, (2006) Early Life Course Determinants of Young Adults’ Gambling Behaviour. An Australian Longitudinal Study, Office of Gaming Regulation, Queensland Treasury

  • Horvath C, Paap R (2012) The effect of recessions on gambling expenditures. J Gamb Stud 28:703–717

    Article  Google Scholar 

  • Huang JH, Boyer R (2007) Epidemiology of youth gambling problems in Canada: a national prevalence study. Can J Psychiatry 52:657–665

    Article  Google Scholar 

  • Jackson AC, Wynne H, Dowling NA, Tomnay JE, Thomas SA (2010) Using the CPGI to determine problem gambling prevalence in Australia: measurement issues. Int J Ment Health Addict 8:570–582

    Article  Google Scholar 

  • Kumar A (2009) Who gambles in the stock market? J Financ 13:1889–1933

    Article  Google Scholar 

  • Kumar A, Page JK, Spalt OG (2011) Religious beliefs, gambling attitudes, and financial market outcomes. J Financ Econ 102:671–708

    Article  Google Scholar 

  • Matheson VA (2001) When are state lotteries a good bet (revisited)? Eastern Econ J 27:55–70

    Google Scholar 

  • Mikesell JL (1994) State lottery sales and economic activity. Natl Tax J 47:165–171

    Google Scholar 

  • Milne R, Wilson J (2011) Deutsche Bank hedges Italian risk. Financ Times, 26 July 2011

  • Mizerski R, Mizerski K, Lam D, Lee A (2013) Gamblers’ Habit. J Bus Res 66:1605–11

    Article  Google Scholar 

  • Olason DT, Hayer T, Brosowski T, Meyer G (2015) Gambling in the mist of economic crisis: results from three national prevalence studies from Iceland. J Gamb Stud 31:759–774

    Article  Google Scholar 

  • Orford J, Wardle H, Griffiths M (2013) What proportion of gambling is problem gambling? Estimates from the 2010 British Gambling Prevalence Survey. Int Gamb Stud 13:4–18

    Article  Google Scholar 

  • Perez L, Humphreys B (2013) The “who and why” of lottery: empirical highlights from the seminal economic literature. J Econ Surv 27:915–940

    Google Scholar 

  • Raab C, Schwer RK (2003) The short- and long-term impact of the Asian financial crisis on Las Vegas Strip baccarat revenues. Hospi Manag 22:37–45

    Article  Google Scholar 

  • Repetti T, Jung S (2013) Building the first gaming master’s program: an industry perspective. UNLV Gamin Res Rev J 17:63–79

    Google Scholar 

  • Scalese M, Bastiani L, Salvadori S, Gori M, Lewis I, Jarre P, Molinaro S (2016) Association of problem gambling with type of gambling among Italian general population. J Gamb Stud 32:1017–1026

    Article  Google Scholar 

  • Schettini KM (2005) State lotteries and consumer behaviour. J Public Econ 89:2269–2299

    Article  Google Scholar 

  • Scott F, Gulley DO (1995) Testing for efficiency in lotto markets. Econ Inq 33:175–188

    Article  Google Scholar 

  • Stinchfield R (2003) Reliability, validity, and classification accuracy of a measure of DSM-IV diagnostic criteria for pathological gambling. Am J Psychiatry 160:180–182

    Article  Google Scholar 

  • Tam MS (1991) Tax on price: a new commodity tax structure for efficiency. Public Financ 46:123–33

  • Walker MB (1985) Explanations for gambling. In: Caldwell GT, Dickerson MG, Haig B, Sylvan L (eds) Gambling in Australia. Croom Helm, Sydney

    Google Scholar 

  • Walker MB (1992) The psychology of gambling. Pergamon Press, New York

    Google Scholar 

  • Wardle H, Moody A, Spence S, Orford J, Volberg R, Dhriti J, Griffiths M, Hussey D, Dobbie F (2011) British Gambling Prevalence Survey 2010. NCSR

  • Worthington AC, Brown K, Crawford M, Pickernell D (2007) Gambling participation in Australia: findings from the National Household Expenditure Survey. Rev Econ Household 5(2):209–221

  • Zoli E (2013) Italian sovereign spreads: Their determinants and pass-through to bank funding costs and lending conditions. IMF working paper, No. 13/84

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Acknowledgments

We thank two anonymous referees for helpful comments. Financial support from FARB (FFBO127297—University of Bologna) is gratefully acknowledged.

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Correspondence to Emanuela Randon.

Appendix

Appendix

See Table 3.

Table 3 Estimation results for regressions with a single macroeconomic explanatory variable (unemployment and confidence index considered)

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Capacci, S., Randon, E. & Scorcu, A.E. Are Consumers More Willing to Invest in Luck During Recessions?. Ital Econ J 3, 25–38 (2017). https://doi.org/10.1007/s40797-016-0043-x

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