পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| প্যানেল ডেটা ম্যাচিং এস্টিমেটর× | Coarsened Exact Matching (CEM)× | |
|---|---|---|
| ক্ষেত্র | কার্যকারণ অনুমান | কার্যকারণ অনুমান |
| পরিবার | Regression model | Regression model |
| উদ্ভবের বছর≠ | 1997-2021 | 2011-2012 |
| প্রবর্তক≠ | Heckman, Ichimura & Todd (1997); Imai, Kim & Wang (2021) for panel extension | Iacus, King, & Porro |
| ধরন≠ | Quasi-experimental causal estimator | Matching / causal inference |
| মৌলিক উৎস≠ | 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 ↗ |
| অপর নাম≠ | panel matching, matching-on-panel-data, longitudinal matching estimator, PDME | CEM, coarsened matching, monotonic imbalance bounding matching |
| সম্পর্কিত | 6 | 6 |
| সারসংক্ষেপ≠ | 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. |
| ScholarGateডেটাসেট ↗ |
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