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Syntetisk kontrollmetode (SCM)×Instrumentvariabler via totrinns minste kvadraters metode (IV/2SLS)×
FagfeltKausal inferensKausal inferens
FamilieRegression modelRegression model
Opprinnelsesår20102009
OpphavspersonAbadie, Diamond & HainmuellerAngrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory)
TypeCounterfactual causal-inference modelInstrumental-variables regression
Opprinnelig kildeAbadie, A., Diamond, A., & Hainmueller, J. (2010). Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program. Journal of the American Statistical Association, 105(490), 493-505. DOI ↗Angrist, J. D. & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Aliassynthetic control method, SCM, synthetic counterfactual, Sentetik Kontrol Yöntemi (SCM)instrumental variables, IV estimation, 2SLS, instrumental variable regression
Relaterte55
SammendragThe Synthetic Control Method, introduced by Abadie, Diamond and Hainmueller in 2010, builds a weighted counterfactual for a single treated unit from a pool of untreated donor units. It is widely regarded as the gold standard for evaluating large policy interventions, natural experiments, and N=1 case studies where no obvious comparison unit exists.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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ScholarGateSammenlign metoder: Synthetic Control · Two-Stage Least Squares (2SLS). Hentet 2026-06-18 fra https://scholargate.app/no/compare