Módszerek összehasonlítása

	Szintetikus kontroll módszer (SCM)	A különbség-különbségek (Diff-in-Diff) módszer
Tudományterület	Oksági következtetés	Ökonometria
Módszercsalád	Regression model	Regression model
Keletkezés éve	2003–2010	1994
Megalkotó	Alberto Abadie & Javier Gardeazabal (2003); Abadie, Diamond & Hainmueller (2010)	Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
Típus	Quasi-experimental causal inference	Causal inference / panel regression
Alapmű	Abadie, 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.	Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Alternatív nevek	SCM, synthetic control, synth estimator, Abadie-Diamond-Hainmueller method	diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Kapcsolódó	4	5
Összefoglaló	The Synthetic Control Method estimates the causal effect of a treatment or policy on a single treated unit by constructing a weighted combination of untreated units — the synthetic control — that closely resembles the treated unit before the intervention. The gap between the treated unit and its synthetic counterpart after the intervention is the estimated treatment effect.	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.