Vertaile menetelmiä
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| Synteettisen kontrollin menetelmä (SCM)× | Paneeliaineiston kiinteiden vaikutusten malli× | |
|---|---|---|
| Tieteenala≠ | Kausaalipäättely | Ekonometria |
| Menetelmäperhe | Regression model | Regression model |
| Syntyvuosi≠ | 2010 | 2014 |
| Kehittäjä≠ | Abadie, Diamond & Hainmueller | Hsiao (textbook treatment); within transformation of panel data |
| Tyyppi≠ | Counterfactual causal-inference model | Panel data regression |
| Alkuperäislähde≠ | 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 ↗ | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗ |
| Rinnakkaisnimet | synthetic control method, SCM, synthetic counterfactual, Sentetik Kontrol Yöntemi (SCM) | fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli |
| Liittyvät | 5 | 5 |
| Tiivistelmä≠ | The 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. | The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014). |
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