Simulate

  • N = 100,000 people

  • Real world is one draw of gammas from the prior distribution for each person

  • How much we should update our guess of that person's treatment effects towards the overall ATE depends on what happens in a bunch of simulated worlds

  • So now we make 1000 more columns, each of which are a simulated world, where we redraw gamma from the prior distribution for every individual

  • In each simulated world, for each individual, we can compute beta_i -- their treatment effect -- and beta_ATE, the average treatment effect

  • How much we update in the real-world depends on how beta_i and beta_ATE correlate across the 1000 simulations for each individual

  • https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4259486

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