विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| पैनल डेटा मैचिंग अनुमानक× | कोर्स्ड एग्जैक्ट मैचिंग (CEM)× | |
|---|---|---|
| क्षेत्र | कारणात्मक अनुमान | कारणात्मक अनुमान |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1997-2021 | 2011-2012 |
| प्रवर्तक≠ | Heckman, Ichimura & Todd (1997); Imai, Kim & Wang (2021) for panel extension | Iacus, King, & Porro |
| प्रकार≠ | Quasi-experimental causal estimator | Matching / causal inference |
| मौलिक स्रोत≠ | 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 ↗ | Iacus, S. M., King, G., & Porro, G. (2012). Causal Inference without Balance Checking: Coarsened Exact Matching. Political Analysis, 20(1), 1-24. DOI ↗ |
| उपनाम≠ | panel matching, matching-on-panel-data, longitudinal matching estimator, PDME | CEM, coarsened matching, monotonic imbalance bounding matching |
| संबंधित | 6 | 6 |
| सारांश≠ | 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. | Coarsened Exact Matching is a preprocessing method that achieves covariate balance by temporarily coarsening continuous variables into bins, exactly matching treated and control units within those bins, and then discarding all unmatched units. Introduced by Iacus, King, and Porro (2011, 2012), it bounds imbalance on each covariate independently, yielding a matched sample on which any estimator can be applied without relying on a propensity score model. |
| ScholarGateडेटासेट ↗ |
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