Analysis of Large Mega Millions Rollovers
Keywords:Mega Millions games, instant games, cannibalism, regressivity, income, zip codes
AbstractFrom May 17, 2002 to December 30, 2014, there were 1,318 Mega Millions drawings and 153 were winning drawings. In 148 out of 153 winning drawings, there was no winner(s) in the first drawing and the jackpot prize was rolled over and added to the next drawing. Since the Mega Millions does not have a rollover limit, this process continues until there is an eventual winning ticket. If there are no winners over a month, the jackpot prize will approach $100 million. As the jackpot prize approaches $100 million, significantly larger additional cash flows into the lottery. Based on the analysis of 29 large Mega Millions winning drawings (jackpot prize ≥ $100 million), we report the following findings. First, significantly larger additional money flows into the lottery as the jackpot prize gets larger, and over 90% of the additional cash inflow is spent on Mega Millions tickets. Second, for the entire sample there does not appear to be reallocating of funds taking place within lottery games. However, when total sales declines or changes in Mega Millions sales is greater than changes in total lottery sales, a small amount of money (less than $0.20 per capita) being transferred from Instant Games to Mega Millions appears to take place. Third, zip-codes with a higher average family income or residents with more years of schooling experience a significantly higher demand for Mega Millions tickets. In addition, as the percentage of white or Asian-Americans in an area increase, the demand for Mega Millions increases by a significant amount. Lastly, as the jackpot prize gets larger, lottery players from all income levels spend more money on Mega Millions, but over 80% of the additional money comes from consumers belonging to the upper-middle or higher income brackets.
Blalock, G., Just, D. & Simon, D., 2007. “Hitting the Jackpot or Hitting the Skids: Entertainment, Poverty and the Demand for State Lotteries,” The American Journal of Economics and Sociology 66 (3), (July), 545-570.
Burns, A., Gillett, P., Rubinstein, M. & Gentry, J., 1990. “An Exploratory Study of Lottery Playing, Gambling Addiction and Links to Compulsive Consumption,” Advances in Consumer Research, 17, 298-305.
Clotfelter, C. & Cook, P., 1987. “Implicit Taxation in Lottery Finance,” National Tax Journal, 40, 4, 533-46.
Clotfelter, C. & Cook, P., 1990. “On the Economics of State Lotteries,” Journal of Economic Perspectives 4 (4), 105-119.
Forrest, D., Simmons, R. & Chesters, N., 2002. “Buying a Dream: Alternative Models of Demand for Lotto,” Economic Inquiry, 40, 3, 485-496.
Forrest, D., Gulley, D. & Simmons, R., 2004. “Substitution between Games in the UK National Lottery,” Applied Economics, 36, 645-651.
Garrett, T. & Sobel, R., 2004. “State Lottery Revenue: The Importance of Game Characteristics,” Public Finance Review, 32, 3, 313-330.
Garrett, T. & Coughlin, C., 2009. “Inter-temporal Differences in the Income Elasticity of Demand for Lottery Tickets,” National Tax Journal, 62, 1, 77-99.
Garrett, T., 2012. “The Distributional Burden of Instant Lottery Ticket Expenditures: An Analysis of Price Point,” Public Finance Review, 40, 6, 767-788.
Ghent, L. & Grant, A., 2010. “The Demand for Lottery Products and their Distributional Consequences,” National Tax Journal, 63, 2, 253-268.
Grote, K. & Matheson, V., 2006. “Dueling Jackpots: Are Competing Lotto Games Complements or Substitutes?,” Atlantic Economic Journal, 34, 85-100.
Guryan, J. & Kearney, M, 2008. “Gambling at a Lucky Stores: Empirical Evidence from State Lottery Sales,” American Economic Review, 98, 458-73.
Jackson, R., 1994. “Demand for Lottery Products in Massachusetts,” The Journal of Consumer Affairs 28 (2), (Winter), 313-325.
Kearney, M. S., 2005. “State Lotteries and Consumer Behavior,” Journal of Public Economics, 89, 2269-2299.
Lang, B. & Omori, M., 2009. “Can Demographic Variables Predict Lottery and Pari-mutuel Losses? An Empirical Investigation,” Journal of Gambling Studies, 25, 171-83.
Lin, C. & Lai, C., 2006. “Substitute Effects between Lotto and Big Lotto in Taiwan,” Applied Economics Letter, 13, 655-658.
Mikelsell, J., 1987. “A Note on the Changing Incidence of State Lottery Finance,” Social Science Quarterly 70, 2, 513-21.
Oster, E., 2004. “Are All Lotteries Regressive? Evidence from the Powerball,” National Tax Journal, 57, 2, 179-87.
Perez. L. & Forrest, D., 2011. “Own – and Cross – Price Elasticities for Games within a State Lottery Portfolio,” Contemporary Economic Policy, 29, 4, 536-59.
Pérez, L. & Humphreys, B., 2011. “The Income Elasticity of Lottery: New Evidence from Micro Data,” Public Finance Review, 39, 4, 551-570.
Price, D. & Novak, E., 1999. “The Tax Incidence of Three Texas Lottery Games: Regressivity, Race, and Education,” National Tax Journal, 52, 4, 741-751.
Purfield, C. & Waldron, P., 1999. “Gambling on Lotto Numbers: Testing for Substitutability or Complementary Using Semi-weekly Turnover Data,” Oxford Bulleting of Economics and Statistics, 61, 4, 527-544.
Shinogle, J., Norris, D., Park, D., Volberg, R., Haynes, D. & Stokan, E., 2011. Gambling Prevalence in Maryland: A Baseline Analysis. Baltimore: Maryland Institute for Policy Analysis and Research, University of Maryland, Baltimore County.
Trousdale, M & Dunn, R., 2014. “Demands for Lottery Gambling: Evaluating Price Sensitivity within a Portfolio of Lottery Games,” National Tax Journal, 67, 3, 595-620.