مقایسهٔ روشها
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| ارزیابی سیاست با طرح ناپیوستگی رگرسیون× | ارزیابی سیاست با روش تفاضل در تفاضل (Difference-in-Differences)× | |
|---|---|---|
| حوزه | استنتاج علّی | استنتاج علّی |
| خانواده | Regression model | Regression model |
| سال پیدایش≠ | 1960; policy evaluation applications widespread from 2000s | 1978-2009 |
| پدیدآور≠ | Thistlethwaite & Campbell (1960); popularized in policy evaluation by Lee & Lemieux (2010) | Ashenfelter (1978); Heckman, LaLonde & Smith (1999); Imbens & Wooldridge (2009) |
| نوع≠ | Quasi-experimental causal design | Quasi-experimental / policy evaluation |
| منبع بنیادین≠ | Lee, D. S., & Lemieux, T. (2010). Regression Discontinuity Designs in Economics. Journal of Economic Literature, 48(2), 281-355. DOI ↗ | Imbens, G. W., & Wooldridge, J. M. (2009). Recent Developments in the Econometrics of Program Evaluation. Journal of Economic Literature, 47(1), 5-86. DOI ↗ |
| نامهای دیگر | Policy RDD, RD design in policy evaluation, regression discontinuity policy analysis, RDD policy impact | policy DiD, program evaluation DiD, policy impact DiD, DiD policy assessment |
| مرتبط≠ | 5 | 4 |
| خلاصه≠ | Policy Evaluation Regression Discontinuity Design (Policy RDD) exploits a known eligibility threshold in a policy rule to estimate the causal effect of that policy on outcomes. Units just below the cutoff serve as a credible comparison group for units just above it, making RDD one of the most transparent quasi-experimental strategies for assessing what a policy actually achieves. | Policy Evaluation DiD applies the difference-in-differences estimator specifically to assess the causal impact of government programs, regulations, or policy reforms. It compares outcome changes in a group exposed to the policy against a comparable untreated group, before and after the policy took effect, isolating the net policy effect from pre-existing trends and time-common shocks. |
| ScholarGateمجموعهداده ↗ |
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