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Heterogen kausaleffekts-instrumentvariabler (HTE-IV)×Lokal genomsnittlig behandlingseffekt (LATE / CACE)×
ÄmnesområdeKausal inferensKausal inferens
FamiljRegression modelRegression model
Ursprungsår19941994
UpphovspersonImbens & AngristImbens & Angrist (1994); Angrist, Imbens & Rubin (1996)
TypCausal inference / IV with effect heterogeneityInstrumental-variable causal estimand
UrsprungskällaImbens, G. W., & Angrist, J. D. (1994). Identification and Estimation of Local Average Treatment Effects. Econometrica, 62(2), 467-475. DOI ↗Imbens, G. W., & Angrist, J. D. (1994). Identification and Estimation of Local Average Treatment Effects. Econometrica, 62(2), 467-475. DOI ↗
AliasHTE-IV, LATE estimator, IV with effect heterogeneity, local average treatment effect IVLATE, CACE, complier average causal effect, Yerel Ortalama Tedavi Etkisi (LATE / CACE)
Närliggande45
SammanfattningHeterogeneous 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.
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ScholarGateJämför metoder: Heterogeneous treatment effect Instrumental variables · Local Average Treatment Effect. Hämtad 2026-06-19 från https://scholargate.app/sv/compare