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Abstract
This paper uses conventional logit probablitities to estimate a discrete-time hazard model of lottery adoption. The data set consists of a time-series of cross-sections on states in the US. Our findings suggests that politicians are more likely to support the decision. A lottery is more likely to be adopted of ther is a favourable climate for gambling in the state and if a bordering state has adopted a lottery.