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- W1600736084 abstract "In this paper we develop new estimation methods for identifying causal effects based on the idea that the amount of selection on the observed explanatory variables in a model provides a guide to the amount of selection on the unobservables. Our approach involves the use of factor model as a way to infer properties of unobserved covariates from the observed covariates. We propose a confidence interval estimator that covers the true value of the causal effect." @default.
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- W1600736084 date "2009-01-01" @default.
- W1600736084 modified "2023-09-27" @default.
- W1600736084 title "Methods for Using Selection on Observed Variables to Address Selection on Unobserved Variables" @default.
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