手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| ベイジアン差分の差 (Bayesian Difference-in-Differences)× | 差分の差 (Difference-in-Differences, DiD)× | |
|---|---|---|
| 分野≠ | 因果推論 | 計量経済学 |
| 系統 | Regression model | Regression model |
| 提唱年≠ | 2015-2023 | 1994 |
| 提唱者≠ | Li & Marchand (formal Bayesian DiD framework); Brodersen et al. (Bayesian causal inference in time series) | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| 種類≠ | Bayesian causal inference / panel regression | Causal inference / panel regression |
| 原典≠ | Li, F., & Marchand, J. (2023). Bayesian inference for difference-in-differences. Econometrics Journal, 26(3), 509-529. link ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| 別名≠ | Bayesian DiD, Bayes DiD, Bayesian diff-in-diff, Bayesian panel causal estimator | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| 関連 | 5 | 5 |
| 概要≠ | 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. |
| ScholarGateデータセット ↗ |
|
|