Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Многопериоден анализ на причинно-следственото въздействие× | Метод на разликите в разликите (Difference-in-Differences, DiD)× | |
|---|---|---|
| Област≠ | Причинно-следствено заключение | Иконометрия |
| Семейство | Regression model | Regression model |
| Година на възникване≠ | 2015 (base); multi-period extensions 2017–present | 1994 |
| Създател≠ | Brodersen, Gallusser, Koehler, Remy & Scott (Google); extended to multi-period settings by subsequent applied work | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Тип≠ | Bayesian structural time-series / quasi-experimental | Causal inference / panel regression |
| Основополагащ източник≠ | Brodersen, K. H., Gallusser, F., Koehler, J., Remy, N., & Scott, S. L. (2015). Inferring causal impact using Bayesian structural time-series models. Annals of Applied Statistics, 9(1), 247-274. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Други названия≠ | multi-period CausalImpact, staggered causal impact, repeated-period causal impact, multi-wave CausalImpact | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Свързани≠ | 6 | 5 |
| Резюме≠ | Multi-period Causal Impact Analysis extends the Bayesian structural time-series framework of Brodersen et al. (2015) to settings where an intervention occurs across multiple distinct periods, is applied at staggered times to different units, or where researchers wish to evaluate cumulative and period-specific effects within a single unified model. It builds a synthetic counterfactual from control covariates and projects it across each intervention window to quantify causal effects. | 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. |
| ScholarGateНабор от данни ↗ |
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