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| Metodo del Controllo Sintetico (SCM)× | Difference-in-Differences (Diff-in-Diff)× | |
|---|---|---|
| Campo≠ | Inferenza causale | Econometria |
| Famiglia | Regression model | Regression model |
| Anno di origine≠ | 2003–2010 | 1994 |
| Ideatore≠ | Alberto Abadie & Javier Gardeazabal (2003); Abadie, Diamond & Hainmueller (2010) | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Tipo≠ | Quasi-experimental causal inference | Causal inference / panel regression |
| Fonte seminale≠ | 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. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Alias≠ | SCM, synthetic control, synth estimator, Abadie-Diamond-Hainmueller method | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Correlati≠ | 4 | 5 |
| Sintesi≠ | 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. |
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