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Lokalni prosečan efekat tretmana (LATE / CACE)×Instrumentne promenljive putem dvostepenog najmanjih kvadrata (IV/2SLS)×
OblastKauzalno zaključivanjeKauzalno zaključivanje
PorodicaRegression modelRegression model
Godina nastanka19942009
TvoracImbens & Angrist (1994); Angrist, Imbens & Rubin (1996)Angrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory)
TipInstrumental-variable causal estimandInstrumental-variables regression
Temeljni izvorImbens, 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
Drugi naziviLATE, CACE, complier average causal effect, Yerel Ortalama Tedavi Etkisi (LATE / CACE)instrumental variables, IV estimation, 2SLS, instrumental variable regression
Srodne55
SažetakThe 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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ScholarGateUporedite metode: Local Average Treatment Effect · Two-Stage Least Squares (2SLS). Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare