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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Analiza e ndjeshmërisë ndaj ndikimit të fshehur (Kufijtë e Rosenbaum / Vlera E)×Two-Stage Least Squares (2SLS)×
FushaInferenca kauzaleInferenca kauzale
FamiljaRegression modelRegression model
Viti i origjinës20022009
KrijuesiPaul R. Rosenbaum (bounds); Tyler J. VanderWeele & Peng Ding (E-value)Angrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory)
LlojiSensitivity analysis for causal inferenceInstrumental-variables regression
Burimi themeluesRosenbaum, P. R. (2002). Observational Studies (2nd ed.). Springer. ISBN: 978-0387989679Angrist, J. D. & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Emërtime të tjeraRosenbaum bounds, E-value, hidden bias sensitivity analysis, unmeasured confounding sensitivityinstrumental variables, IV estimation, 2SLS, instrumental variable regression
Të lidhura55
PërmbledhjaSensitivity analysis for hidden bias is a family of methods that quantify how strongly an unmeasured confounder would have to operate before it could overturn a causal conclusion drawn from observational data. It was crystallised by Paul Rosenbaum's sensitivity bounds (2002) and extended by VanderWeele and Ding's E-value (2017).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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ScholarGateKrahasoni metodat: Sensitivity Analysis for Unmeasured Confounding · Two-Stage Least Squares (2SLS). Marrë më 2026-06-18 nga https://scholargate.app/sq/compare