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Name the three different simulation-based estimators Train discusses.
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Under what conditions is Maximum Simulated Likelihood consistent?
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What is the advantage of Simulated Method of Moments over Maximum Simulated Likelihood?
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Why isn't Maximum Simulated Scores used more often?
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How is indirect inference different from other simulation-based estimators?