A Method for Measuring Treatment Effects on the Treated without Randomization

A Method for Measuring Treatment Effects on the Treated without Randomization

This paper contributes to the literature on the estimation of causal effects by providing an analytical formula for individual specific treatment effects and an empirical methodology that allows us to estimate these effects. We derive the formula from a general model with minimal restrictions, unkno...

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Bibliographic Details
Main Authors: P.A.V.B. Swamy, Stephen G. Hall, George S. Tavlas, I-Lok Chang, Heather D. Gibson, William H. Greene, Jatinder S. Mehta
Format: Article
Language:English
Published: MDPI AG 2016-03-01
Series:Econometrics
Subjects:
causality
real-world relationship
unique error term
treatment effect
non-experimental situation
Online Access:http://www.mdpi.com/2225-1146/4/2/19

Internet

http://www.mdpi.com/2225-1146/4/2/19

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