השוואת שיטות
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| התאמה מדויקת מרובת-תקופות מקוצצת (Multi-period Coarsened Exact Matching)× | התאמה מדויקת מקוצצת (CEM)× | |
|---|---|---|
| תחום | הסקה סיבתית | הסקה סיבתית |
| משפחה | Regression model | Regression model |
| שנת המקור≠ | 2012–2021 | 2011-2012 |
| הוגה השיטה≠ | Iacus, King & Porro (CEM, 2012); extended to multi-period panel settings | Iacus, King, & Porro |
| סוג≠ | Non-parametric matching / causal inference | Matching / causal inference |
| מקור מכונן | Iacus, S. M., King, G., & Porro, G. (2012). Causal inference without balance checking: Coarsened exact matching. Political Analysis, 20(1), 1-24. DOI ↗ | Iacus, S. M., King, G., & Porro, G. (2012). Causal Inference without Balance Checking: Coarsened Exact Matching. Political Analysis, 20(1), 1-24. DOI ↗ |
| כינויים≠ | Multi-period CEM, Longitudinal CEM, Panel CEM, Multi-wave CEM | CEM, coarsened matching, monotonic imbalance bounding matching |
| קשורות | 6 | 6 |
| תקציר≠ | Multi-period Coarsened Exact Matching (multi-period CEM) extends the CEM framework of Iacus, King, and Porro to longitudinal data with multiple pre- and post-treatment periods. It bins continuous covariates into coarsened categories, matches treated and control units that fall into the same cells across all relevant time periods, and then estimates a weighted average treatment effect that accounts for temporal structure. | 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. |
| ScholarGateמערך נתונים ↗ |
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