เปรียบเทียบวิธี

	Bayesian Difference-in-Differences	แบบจำลอง Fixed Effects สำหรับข้อมูล Panel Data
สาขาวิชา	การอนุมานเชิงสาเหตุ	เศรษฐมิติ
ตระกูล	Regression model	Regression model
ปีกำเนิด	2015-2023	2014
ผู้ริเริ่ม	Li & Marchand (formal Bayesian DiD framework); Brodersen et al. (Bayesian causal inference in time series)	Hsiao (textbook treatment); within transformation of panel data
ประเภท	Bayesian causal inference / panel regression	Panel data regression
แหล่งต้นตำรับ	Li, F., & Marchand, J. (2023). Bayesian inference for difference-in-differences. Econometrics Journal, 26(3), 509-529.	Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press.
ชื่อเรียกอื่น	Bayesian DiD, Bayes DiD, Bayesian diff-in-diff, Bayesian panel causal estimator	fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
ที่เกี่ยวข้อง	5	5
สรุป	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.	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).