ivreg2m can be invoked to estimate the average causal effect for compliers (Imbens and Angrist, 1994) in a traditionally identified single equation when both non-compliance and misreporting of treatment status are present. The approach follows the estimation procedure developed in Calvi, Lewbel and Tommasi (JBES, 2021) and Tommasi and Zhang (IZA, 2022).
Christopher F Baum, D.T. (2022). IVREG2M: Stata module to identify treatment-effects estimates with potentially misreported and endogenous program participation.
IVREG2M: Stata module to identify treatment-effects estimates with potentially misreported and endogenous program participation
Denni Tommasi
;
2022
Abstract
ivreg2m can be invoked to estimate the average causal effect for compliers (Imbens and Angrist, 1994) in a traditionally identified single equation when both non-compliance and misreporting of treatment status are present. The approach follows the estimation procedure developed in Calvi, Lewbel and Tommasi (JBES, 2021) and Tommasi and Zhang (IZA, 2022).File in questo prodotto:
Eventuali allegati, non sono esposti
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


