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Pemboleh Ubah Instrumental melalui Kuasa Dua Terkecil Dua Peringkat (IV/2SLS)×Anggaran Keboleh-Teguhan Berganda (AIPW)×
BidangInferens KausalInferens Kausal
KeluargaRegression modelRegression model
Tahun asal20092005
PengasasAngrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory)Robins & Rotnitzky; Bang & Robins
JenisInstrumental-variables regressionSemiparametric causal estimator
Sumber perintisAngrist, J. D. & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355Robins, J. M. & Rotnitzky, A. (1995). Semiparametric Efficiency in Multivariate Regression Models with Missing Data. Journal of the American Statistical Association, 90(429), 122-129. DOI ↗
Aliasinstrumental variables, IV estimation, 2SLS, instrumental variable regressionAIPW, augmented inverse probability weighting, doubly robust estimator, Çift Gürbüz Kestirici (Augmented IPW / AIPW)
Berkaitan55
RingkasanIV/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).Doubly Robust Estimation, also called Augmented Inverse Probability Weighting (AIPW), is a semiparametric method for estimating causal treatment effects that combines an outcome regression model with a propensity (treatment) model. Developed in the work of Robins & Rotnitzky (1995) and Bang & Robins (2005), it stays consistent as long as at least one of the two models is correctly specified.
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ScholarGateBandingkan kaedah: Two-Stage Least Squares (2SLS) · Doubly Robust Estimation. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare