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Metoda sintetičke kontrole (SCM)×Metode slaganja (CEM / Optimalno / Genetičko)×
OblastKauzalno zaključivanjeKauzalno zaključivanje
PorodicaRegression modelRegression model
Godina nastanka20102012
TvoracAbadie, Diamond & HainmuellerIacus, King & Porro (CEM); Hansen (optimal/full matching)
TipCounterfactual causal-inference modelMatching for causal inference
Temeljni izvorAbadie, 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 ↗Iacus, S. M., King, G., & Porro, G. (2012). Causal Inference without Balance Checking: Coarsened Exact Matching. Political Analysis, 20(1), 1-24. DOI ↗
Drugi nazivisynthetic control method, SCM, synthetic counterfactual, Sentetik Kontrol Yöntemi (SCM)coarsened exact matching, optimal matching, genetic matching, CEM
Srodne55
SažetakThe 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.Matching Methods are a family of causal-inference techniques beyond propensity-score matching that pair treated and control units with similar covariates so that a treatment effect can be read off the balanced sample. The family includes Coarsened Exact Matching (Iacus, King & Porro, 2012), optimal matching, and genetic matching.
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ScholarGateUporedite metode: Synthetic Control · Matching Methods. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare