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Metoda sintetičke kontrole za panelne podatke×Model s fiksnim učincima za panelne podatke×
PodručjeUzročno zaključivanjeEkonometrija
ObiteljRegression modelRegression model
Godina nastanka20102014
TvoracAlberto Abadie, Alexis Diamond & Jens HainmuellerHsiao (textbook treatment); within transformation of panel data
VrstaCausal inference / panel dataPanel data regression
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 ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
Drugi naziviSCM panel, panel synthetic control, synthetic control estimator, comparative case studyfixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Srodne55
SažetakThe panel data synthetic control method estimates the causal effect of an intervention on a single treated unit by constructing a data-driven weighted combination of untreated units — a synthetic control — that best reproduces the treated unit's pre-treatment outcome trajectory. The post-treatment gap between the treated unit and its synthetic counterpart is the estimated treatment effect.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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ScholarGateUsporedite metode: Panel Data Synthetic Control Method · Panel Fixed Effects. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare