So sánh phương pháp

	Difference-in-Differences (DiD) kiểu Bayes	Phương pháp Sai phân kép (Difference-in-Differences - DiD)
Lĩnh vực	Suy luận nhân quả	Kinh tế lượng
Họ	Regression model	Regression model
Năm ra đời	2015-2023	1994
Người khởi xướng	Li & Marchand (formal Bayesian DiD framework); Brodersen et al. (Bayesian causal inference in time series)	Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
Loại	Bayesian causal inference / panel regression	Causal inference / panel regression
Công trình gốc	Li, F., & Marchand, J. (2023). Bayesian inference for difference-in-differences. Econometrics Journal, 26(3), 509-529.	Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Tên gọi khác	Bayesian DiD, Bayes DiD, Bayesian diff-in-diff, Bayesian panel causal estimator	diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Liên quan	5	5
Tóm tắt	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.	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.