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Efecte del tractament mitjà local (LATE / CACE)×Variables instrumentals mitjançant mínims quadrats en dues etapes (IV/2SLS)×
CampInferència causalInferència causal
FamíliaRegression modelRegression model
Any d'origen19942009
Autor originalImbens & Angrist (1994); Angrist, Imbens & Rubin (1996)Angrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory)
TipusInstrumental-variable causal estimandInstrumental-variables regression
Font seminalImbens, G. W., & Angrist, J. D. (1994). Identification and Estimation of Local Average Treatment Effects. Econometrica, 62(2), 467-475. DOI ↗Angrist, J. D. & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
ÀliesLATE, CACE, complier average causal effect, Yerel Ortalama Tedavi Etkisi (LATE / CACE)instrumental variables, IV estimation, 2SLS, instrumental variable regression
Relacionats55
ResumThe 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.IV/2SLS is a two-stage estimation method that recovers the causal effect of an endogenous regressor by isolating the part of its variation driven by an external instrument. It is the workhorse identification strategy in modern applied econometrics, developed at length in Angrist and Pischke's Mostly Harmless Econometrics (2009).
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ScholarGateCompara mètodes: Local Average Treatment Effect · Two-Stage Least Squares (2SLS). Recuperat el 2026-06-18 de https://scholargate.app/ca/compare