A DISCRETE-TIME HAZARD MODEL OF LOTTERY ADOPTION

This paper uses conventional logit probabilities to estimate a discret e-time hazard model of lottery adoption. The data set consists of a ti me-series of cross-sections on states in the US. Our findings suggest that politicians are more likely to support lottery adoption if high i ncome constituents support the decision. A lottery is more likely to b e adopted if there is a favourable climate for gambling in the state a nd if a bordering state has adopted a lottery.