Compara mètodes

	Diferències en Diferències Dinàmiques	Mètode del Control Sintètic (SCM)
Camp	Inferència causal	Inferència causal
Família	Regression model	Regression model
Any d'origen	2021	2003–2010
Autor original	Callaway & Sant'Anna; Sun & Abraham	Alberto Abadie & Javier Gardeazabal (2003); Abadie, Diamond & Hainmueller (2010)
Tipus	Causal inference / quasi-experimental	Quasi-experimental causal inference
Font seminal	Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230.	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.
Àlies	Dynamic DiD, Staggered DiD, Event-time DiD, Heterogeneous-timing DiD	SCM, synthetic control, synth estimator, Abadie-Diamond-Hainmueller method
Relacionats	4	4
Resum	Dynamic Difference-in-Differences extends the classic DiD framework to settings where units adopt treatment at different times. Rather than collapsing all variation into a single 2x2 comparison, it estimates group-time average treatment effects for each adoption cohort at each calendar period, then aggregates them into interpretable summaries of the causal effect over event time.	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.