Comparar métodos

	Variables Instrumentales de Efecto de Tratamiento Heterogéneo (HTE-IV)	Efecto Medio Local del Tratamiento (LATE / CACE)
Campo	Inferencia causal	Inferencia causal
Familia	Regression model	Regression model
Año de origen	1994	1994
Autor original	Imbens & Angrist	Imbens & Angrist (1994); Angrist, Imbens & Rubin (1996)
Tipo	Causal inference / IV with effect heterogeneity	Instrumental-variable causal estimand
Fuente seminal	Imbens, G. W., & Angrist, J. D. (1994). Identification and Estimation of Local Average Treatment Effects. Econometrica, 62(2), 467-475.	Imbens, G. W., & Angrist, J. D. (1994). Identification and Estimation of Local Average Treatment Effects. Econometrica, 62(2), 467-475.
Alias	HTE-IV, LATE estimator, IV with effect heterogeneity, local average treatment effect IV	LATE, CACE, complier average causal effect, Yerel Ortalama Tedavi Etkisi (LATE / CACE)
Relacionados	4	5
Resumen	Heterogeneous treatment effect IV applies instrumental variables estimation while explicitly acknowledging and modelling that the treatment effect differs across units. Rather than recovering a single average effect, it focuses on the Local Average Treatment Effect (LATE) — the causal effect for compliers, the subpopulation whose treatment status is actually shifted by the instrument — and extends analysis to variation in that effect across observed subgroups.	The Local Average Treatment Effect is an instrumental-variable estimand, introduced by Imbens and Angrist (1994) and formalised with Rubin (1996), that recovers the average treatment effect for the subpopulation of compliers — units whose treatment status is actually moved by the instrument. It is closely tied to compliance analysis.