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Võrdle meetodeid

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Sünteetilise kontrolli meetod haridusuuringutes×Erinevused erinevustes (Diff-in-Diff)×
ValdkondPõhjuslik järeldamineÖkonomeetria
PerekondRegression modelRegression model
Tekkeaasta2003-20101994
LoojaAlberto Abadie, Alexis Diamond, and Jens HainmuellerCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
TüüpQuasi-experimental causal inferenceCausal inference / panel regression
AlgallikasAbadie, 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
RööpnimetusedSCM in education, synthetic control, synthetic comparator, SCMdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Seotud55
KokkuvõteThe Synthetic Control Method (SCM) estimates the causal effect of an education policy or intervention by constructing a weighted combination of untreated comparison units — the synthetic control — that closely mimics the treated unit's pre-intervention trajectory. Developed by Abadie, Diamond, and Hainmueller, it is especially valuable when only one or a small number of schools, districts, or countries receive a policy change and no natural comparison exists.Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes.
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ScholarGateVõrdle meetodeid: Synthetic Control Method in Education Research · Difference-in-Differences. Loetud 2026-06-18 aadressilt https://scholargate.app/et/compare