Avoiding Bad Control in Regression for Partially Qualitative Outcomes, and Correcting for Endogeneity Bias in Two-Part Models: Causal Inference from the Potential Outcomes Perspective

Avoiding Bad Control in Regression for Partially Qualitative Outcomes, and Correcting for Endogeneity Bias in Two-Part Models: Causal Inference from the Potential Outcomes Perspective

Indiana University-Purdue University Indianapolis (IUPUI) === The general potential outcomes framework (GPOF) is an essential structure that facilitates clear and coherent specification, identification, and estimation of causal effects. This dissertation utilizes and extends the GPOF, to specify, id...

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Bibliographic Details
Main Author: Asfaw, Daniel Abebe
Other Authors: Terza, Joseph
Language:en_US
Published: 2021
Subjects:
Bad Control
BMI
Endogeneity
Generalized Control Function
Medical Spending
Two-Part Model
Online Access:http://hdl.handle.net/1805/25997

Internet

http://hdl.handle.net/1805/25997

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