Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Оцінювач на основі вибіркового зіставлення панельних даних× | Різниця різниць (Diff-in-Diff)× | |
|---|---|---|
| Галузь≠ | Причинно-наслідковий висновок | Економетрика |
| Родина | Regression model | Regression model |
| Рік появи≠ | 1997-2021 | 1994 |
| Автор методу≠ | Heckman, Ichimura & Todd (1997); Imai, Kim & Wang (2021) for panel extension | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Тип≠ | Quasi-experimental causal estimator | Causal inference / panel regression |
| Основоположне джерело≠ | Heckman, J. J., Ichimura, H., & Todd, P. E. (1997). Matching as an econometric evaluation estimator: Evidence from evaluating a job training programme. Review of Economic Studies, 64(4), 605-654. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Інші назви≠ | panel matching, matching-on-panel-data, longitudinal matching estimator, PDME | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Пов'язані≠ | 6 | 5 |
| Підсумок≠ | The panel data matching estimator identifies causal treatment effects by pairing each treated unit with one or more control units that share similar covariate histories in the pre-treatment periods. By exploiting the longitudinal structure of panel data, it controls for both observed time-varying confounders and stable unit characteristics, estimating the average treatment effect on the treated (ATT) without requiring a parallel-trends assumption. | 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. |
| ScholarGateНабір даних ↗ |
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