Lottery Spending: A Non-Parametric Analysis |
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| Authors: | Skip Garibaldi Kayla Frisoli Li Ke Melody Lim |
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| Institution: | 1Institute for Pure and Applied Mathematics, UCLA, 460 Portola Plaza, Box 957121, Los Angeles, California 90095-7121, USA;2Department of Mathematics & Computer Science, Emory University, 400 Dowman Dr, Atlanta, Georgia 30322, USA;University of East Piedmont, ITALY |
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| Abstract: | We analyze the spending of individuals in the United States on lottery tickets in an average month, as reported in surveys. We view these surveys as sampling from an unknown distribution, and we use non-parametric methods to compare properties of this distribution for various demographic groups, as well as claims that some properties of this distribution are constant across surveys. We find that the observed higher spending by Hispanic lottery players can be attributed to differences in education levels, and we dispute previous claims that the top 10% of lottery players consistently account for 50% of lottery sales. |
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