方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 双重差分法 (Diff-in-Diff)× | 格兰杰因果检验× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1994 | 1969 |
| 提出者≠ | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) | Clive W. J. Granger |
| 类型≠ | Causal inference / panel regression | Time-series predictive causality test |
| 开创性文献≠ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 | Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. DOI ↗ |
| 别名≠ | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) | Granger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi |
| 相关 | 5 | 5 |
| 摘要≠ | 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. | The Granger causality test, introduced by Clive W. J. Granger in 1969, assesses whether the past values of one time series help predict another beyond what the latter's own past already explains. It defines causality in a strictly predictive sense rather than as a structural or physical cause. |
| ScholarGate数据集 ↗ |
|
|