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Kesan Rawatan Purata Tempatan (Local Average Treatment Effect - LATE / CACE)×Pemboleh Ubah Instrumental melalui Kuasa Dua Terkecil Dua Peringkat (IV/2SLS)×
BidangInferens KausalInferens Kausal
KeluargaRegression modelRegression model
Tahun asal19942009
PengasasImbens & Angrist (1994); Angrist, Imbens & Rubin (1996)Angrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory)
JenisInstrumental-variable causal estimandInstrumental-variables regression
Sumber perintisImbens, 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
AliasLATE, CACE, complier average causal effect, Yerel Ortalama Tedavi Etkisi (LATE / CACE)instrumental variables, IV estimation, 2SLS, instrumental variable regression
Berkaitan55
RingkasanThe 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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ScholarGateBandingkan kaedah: Local Average Treatment Effect · Two-Stage Least Squares (2SLS). Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare