Are "lotteries" in the model for choice under uncertainty not just probability distributions?

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    $\begingroup$ Usually, yes. Details may vary (finite support or not, countable vs finite additivity...) $\endgroup$ – Michael Greinecker Jun 24 '20 at 20:22
  • $\begingroup$ Alright, thank you. $\endgroup$ – Xenusi Jun 24 '20 at 20:40

Yes. See for example this passage from Choice under Uncertainty by Jonathan Levin:

2.1 Prizes and Lotteries

The starting point for the model is a set $X$ of possible prizes or consequences. In many economic problems (and for much of this class), $X$ will be a set of monetary payoffs. But it need not be. If we are considering who will win Big Game this year, the set of consequences might be: $$X=\lbrace\text{Stanford wins}, \text{Cal wins}, \text{Tie}\rbrace.$$ We represent an uncertain prospect as a lottery or probability distribution over the prize space. For instance, the prospect that Stanford and Cal are equally likely to win Big Game can be written as $p=(1/2,1/2,0)$. Perhaps these probabilities depend on who Stanford starts at quarterback. In that case, there might be two prospects: $p$ or $p'=(5/9,3/9,1/9)$, depending on who starts.

(not sure what I was thinking yesterday evening. It seems like I completely misunderstood the question)

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    $\begingroup$ I think they mean lotteries in the MWG sense of uncertain cash flow, not real life lotteries, which are a subset of this. $\endgroup$ – Giskard Jun 24 '20 at 21:26
  • $\begingroup$ @Giskard you are right. if you can come with a better answer please do $\endgroup$ – Xenusi Jun 25 '20 at 6:10
  • $\begingroup$ @Xenusi I think Michael Greinecker's comment is the appropriate answer. $\endgroup$ – Giskard Jun 25 '20 at 7:04

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