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A General Framework for Causal Inference on Latent Outcomes

Thu, April 23, 3:20 to 4:50pm CDT (3:20 to 4:50pm CDT), TBA

Brief Overview

In social science, many theoretically important variables of interest are abstract constructs that cannot be directly observed. This paper proposes a general framework that nonparametrically identifies and estimates causal effects on latent outcomes.

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