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Treatment-effects estimators extract experimental-style causal effects from observational data. We use weights to make our data representative of the population of interest. Using appropriate weights allows us to accurately estimate causal effects. Ignoring the weights is equivalent to estimating effects for a population that is not the one of interest.
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