Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Нечіткий регресійний розрив для оцінки політики× | Зіставлення за показником схильності× | |
|---|---|---|
| Галузь≠ | Причинно-наслідковий висновок | Статистика досліджень |
| Родина≠ | Regression model | Process / pipeline |
| Рік появи≠ | 2001 | 1983 |
| Автор методу≠ | Hahn, Todd & Van der Klaauw | Paul Rosenbaum and Donald Rubin |
| Тип≠ | Quasi-experimental / local IV estimator | Method |
| Основоположне джерело≠ | Hahn, J., Todd, P., & Van der Klaauw, W. (2001). Identification and estimation of treatment effects with a regression-discontinuity design. Review of Economic Studies, 68(1), 201-209. DOI ↗ | Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41–55. DOI ↗ |
| Інші назви≠ | Fuzzy RDD, Fuzzy RD, Fuzzy Regression Discontinuity, Imperfect Compliance RDD | PSM, propensity score weighting, covariate balance |
| Пов'язані≠ | 5 | 3 |
| Підсумок≠ | Fuzzy Regression Discontinuity Design (Fuzzy RDD) estimates the causal effect of a policy when eligibility is determined by crossing a threshold on a continuous score, but actual take-up or compliance is imperfect. Developed formally by Hahn, Todd, and Van der Klaauw (2001), it uses the threshold as an instrumental variable to recover a Local Average Treatment Effect (LATE) among compliers near the cutoff. | Propensity score matching (PSM) is a method for reducing confounding bias in observational studies by balancing baseline characteristics between treatment groups, simulating randomization. Developed by Rosenbaum and Rubin (1983), it estimates the probability of receiving treatment given observed covariates, then matches or weights treated and control individuals with similar treatment probabilities. Widely used in medicine, epidemiology, and policy evaluation when randomized trials are infeasible or unethical, enabling estimation of treatment effects while controlling for selection bias. |
| ScholarGateНабір даних ↗ |
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