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| Pencocokan Tepat yang Diperhalus Berbilang Tempoh× | Pencocokan Tepat yang Dikasar untuk Data Panel× | |
|---|---|---|
| Bidang | Inferens Kausal | Inferens Kausal |
| Keluarga | Regression model | Regression model |
| Tahun asal≠ | 2012–2021 | 2012 (CEM); 2021 (panel extension) |
| Pengasas≠ | Iacus, King & Porro (CEM, 2012); extended to multi-period panel settings | Iacus, King & Porro (CEM, 2012); panel extension via Imai, Kim & Wang (2021) |
| Jenis≠ | Non-parametric matching / causal inference | Matching / quasi-experimental |
| Sumber perintis | 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 ↗ |
| Alias≠ | Multi-period CEM, Longitudinal CEM, Panel CEM, Multi-wave CEM | Panel CEM, CEM for panel data, coarsened exact matching with panel data |
| Berkaitan | 6 | 6 |
| Ringkasan≠ | 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. | Panel Data Coarsened Exact Matching applies the Coarsened Exact Matching (CEM) algorithm to repeated-measures panel data, matching treated and control units within the same coarsened covariate strata across multiple time periods. It balances pre-treatment characteristics before estimating a causal treatment effect, combining the transparency of exact matching with the richer identification available in longitudinal datasets. |
| ScholarGateSet data ↗ |
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