مقایسهٔ روشها
روشهای انتخابی خود را کنار هم مرور کنید؛ ردیفهای متفاوت برجسته شدهاند.
| مدل ساختاری حاشیهای ارزیابی سیاست× | روش تفاوت در تفاوت (Diff-in-Diff)× | |
|---|---|---|
| حوزه≠ | استنتاج علّی | اقتصادسنجی |
| خانواده | Regression model | Regression model |
| سال پیدایش≠ | 2000 | 1994 |
| پدیدآور≠ | James M. Robins, Miguel A. Hernan, Babette Brumback | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| نوع≠ | Causal inference / weighted regression | Causal inference / panel regression |
| منبع بنیادین≠ | Robins, J. M., Hernan, M. A., & Brumback, B. (2000). Marginal structural models and causal inference in epidemiology. Epidemiology, 11(5), 550–560. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| نامهای دیگر≠ | MSM for policy evaluation, policy MSM, causal MSM, structural policy weighting model | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| مرتبط≠ | 6 | 5 |
| خلاصه≠ | A Policy Evaluation Marginal Structural Model (MSM) is a causal inference framework that estimates the population-average effect of a policy by using inverse probability weighting to create a pseudo-population in which treatment assignment is independent of measured confounders, enabling unbiased comparison of potential outcomes under different policy scenarios from observational data. | 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. |
| ScholarGateمجموعهداده ↗ |
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