Introduction – 1. A Simple model of sports book operation - 2. Data description - 3. Evidence of shading in NBA point spread betting - 4. Discussion and conclusions - References

The determinants of the total number of bets placed on games from three on-line sports books are analyzed for the 2008‐9 NCAA basketball season. Betting volume depends on television coverage, temporal factors, the quality of the teams, and the expected closeness of the contest. Our results...

Research on sports betting markets has generally found a favorite-longshot bias, the empirical pattern for loss rates for bets on longshots to be higher than for favorites, which implies the odds do not reflect the underlying probabilities. The existing literature focuses largely on pari-mutuel...

Sports betting is growing rapidly in the US after its legalization by the Supreme Court in 2018. This paper describes the treatment of gambling winnings and losses in the federal tax code and shows how the system may incentivize some gamblers to substantially increase the scale of their betting...

We describe how the presence of insiders with superior information about potential outcomes of sporting events affects odds set by bookmakers, using a generalized version of the model in Shin (1991). The model has been widely cited as an explanation for the pattern of favorite-longshot bias...

Most theories of risky choice postulate that a decision maker maximizes the expectation of a Bernoulli (or utility or similar) function. We tour 60 years of empirical search and conclude that no such functions have yet been found that are useful for out-of-sample prediction. Nor do we find...

Most theories of risky choice postulate that a decision maker maximizes the expectation of a Bernoulli (or utility or similar) function. We tour 60 years of empirical search and conclude that no such functions have yet been found that are useful for out-of-sample prediction. Nor do we find...

Most theories of risky choice postulate that a decision maker maximizes the expectation of a Bernoulli (or utility or similar) function. We tour 60 years of empirical search and conclude that no such functions have yet been found that are useful for out-of-sample prediction. Nor do we find...

Most theories of risky choice postulate that a decision maker maximizes the expectation of a Bernoulli (or utility or similar) function. We tour 60 years of empirical search and conclude that no such functions have yet been found that are useful for out-of-sample prediction. Nor do we find...