Estimating Endogenous Treatment Effects Using Latent Factor Models with and without Instrumental Variables

Estimating Endogenous Treatment Effects Using Latent Factor Models with and without Instrumental Variables

We provide evidence on the least biased ways to identify causal effects in situations where there are multiple outcomes that all depend on the same endogenous regressor and a reasonable but potentially contaminated instrumental variable that is available. Simulations provide suggestive evidence on t...

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Bibliographic Details
Main Authors: Souvik Banerjee, Anirban Basu
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Econometrics
Subjects:
treatment effect
latent factor models
instrumental variable
mental illness
disability
Online Access:https://www.mdpi.com/2225-1146/9/1/14

Internet

https://www.mdpi.com/2225-1146/9/1/14

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