השוואת שיטות

	התאמת ציון נטייה בייסיאני	הפרשים-בהפרשים בייסיאני
תחום	הסקה סיבתית	הסקה סיבתית
משפחה	Regression model	Regression model
שנת המקור	2012	2015-2023
הוגה השיטה	Kaplan & Chen (2012); foundational PSM by Rosenbaum & Rubin (1983)	Li & Marchand (formal Bayesian DiD framework); Brodersen et al. (Bayesian causal inference in time series)
סוג	Bayesian causal inference / matching	Bayesian causal inference / panel regression
מקור מכונן	Kaplan, D., & Chen, J. (2012). A Two-Step Bayesian Approach for Propensity Score Analysis: Simulations and Case Study. Psychometrika, 77(3), 581-609.	Li, F., & Marchand, J. (2023). Bayesian inference for difference-in-differences. Econometrics Journal, 26(3), 509-529.
כינויים	Bayesian PSM, BPSM, Bayesian matching estimator, Bayesian propensity weighting	Bayesian DiD, Bayes DiD, Bayesian diff-in-diff, Bayesian panel causal estimator
קשורות	6	5
תקציר	Bayesian Propensity Score Matching (Bayesian PSM) extends classical propensity score matching by placing a prior distribution over the propensity model parameters and propagating posterior uncertainty through the matching and outcome stages. Introduced formally by Kaplan and Chen (2012), it offers a principled account of estimation uncertainty that frequentist matching commonly ignores, and allows incorporation of substantive prior knowledge about treatment selection.	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.