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Variáveis Instrumentais via Mínimos Quadrados em Dois Estágios (IV/2SLS)×Efeito do Tratamento Médio Local (LATE / CACE)×
ÁreaInferência causalInferência causal
FamíliaRegression modelRegression model
Ano de origem20091994
Autor originalAngrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory)Imbens & Angrist (1994); Angrist, Imbens & Rubin (1996)
TipoInstrumental-variables regressionInstrumental-variable causal estimand
Fonte seminalAngrist, J. D. & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355Imbens, G. W., & Angrist, J. D. (1994). Identification and Estimation of Local Average Treatment Effects. Econometrica, 62(2), 467-475. DOI ↗
Outros nomesinstrumental variables, IV estimation, 2SLS, instrumental variable regressionLATE, CACE, complier average causal effect, Yerel Ortalama Tedavi Etkisi (LATE / CACE)
Relacionados55
ResumoIV/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).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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ScholarGateComparar métodos: Two-Stage Least Squares (2SLS) · Local Average Treatment Effect. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare