قارن الطرق

	الاختلافات في الاختلافات البايزية	Dynamic Difference-in-Differences
المجال	الاستدلال السببي	الاستدلال السببي
العائلة	Regression model	Regression model
سنة النشأة	2015-2023	2021
صاحب الطريقة	Li & Marchand (formal Bayesian DiD framework); Brodersen et al. (Bayesian causal inference in time series)	Callaway & Sant'Anna; Sun & Abraham
النوع	Bayesian causal inference / panel regression	Causal inference / quasi-experimental
المصدر التأسيسي	Li, F., & Marchand, J. (2023). Bayesian inference for difference-in-differences. Econometrics Journal, 26(3), 509-529.	Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230.
الأسماء البديلة	Bayesian DiD, Bayes DiD, Bayesian diff-in-diff, Bayesian panel causal estimator	Dynamic DiD, Staggered DiD, Event-time DiD, Heterogeneous-timing DiD
ذات صلة	5	4
الملخص	Bayesian Difference-in-Differences applies Bayesian statistical inference to the classic DiD design, replacing frequentist point estimates with full posterior distributions over the treatment effect. This yields not only an estimate of the causal effect but also a coherent probability statement about its magnitude and uncertainty, making it especially useful when sample sizes are modest or informative prior knowledge is available.	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.