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).
2022
Christopher F Baum, D.T. (2022). IVREG2M: Stata module to identify treatment-effects estimates with potentially misreported and endogenous program participation.
Christopher F Baum, Denni Tommasi, Lina Zhang,
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.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/988674
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact