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Prilagođavanje prednjim vratima (Kriterijum prednjih vrata)×Instrumentne promenljive putem dvostepenog najmanjih kvadrata (IV/2SLS)×
OblastKauzalno zaključivanjeKauzalno zaključivanje
PorodicaRegression modelRegression model
Godina nastanka19952009
TvoracJudea PearlAngrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory)
TipCausal identification (graphical adjustment)Instrumental-variables regression
Temeljni izvorPearl, J. (1995). Causal Diagrams for Empirical Research. Biometrika, 82(4), 669-688. DOI ↗Angrist, J. D. & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Drugi nazivifrontdoor criterion, Pearl's frontdoor adjustment, frontdoor formula, Ön Kapı Düzenlemesi (Frontdoor Adjustment)instrumental variables, IV estimation, 2SLS, instrumental variable regression
Srodne45
SažetakFrontdoor adjustment is Judea Pearl's graphical identification strategy, introduced in 1995, that recovers the causal effect of a treatment on an outcome through a fully mediating variable even when an unobserved confounder sits between the treatment and the outcome. It is the go-to tool when the backdoor criterion cannot be satisfied because the confounder is unmeasured.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: Frontdoor Adjustment · Two-Stage Least Squares (2SLS). Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare