পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| প্যানেল ডেটা ম্যাচিং এস্টিমেটর× | প্রোপেনসিটি স্কোর ম্যাচিং (Propensity Score Matching)× | |
|---|---|---|
| ক্ষেত্র≠ | কার্যকারণ অনুমান | গবেষণা পরিসংখ্যান |
| পরিবার≠ | Regression model | Process / pipeline |
| উদ্ভবের বছর≠ | 1997-2021 | 1983 |
| প্রবর্তক≠ | Heckman, Ichimura & Todd (1997); Imai, Kim & Wang (2021) for panel extension | Paul Rosenbaum and Donald Rubin |
| ধরন≠ | Quasi-experimental causal estimator | Method |
| 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 ↗ | Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41–55. DOI ↗ |
| অপর নাম≠ | panel matching, matching-on-panel-data, longitudinal matching estimator, PDME | PSM, propensity score weighting, covariate balance |
| সম্পর্কিত≠ | 6 | 3 |
| 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. | Propensity score matching (PSM) is a method for reducing confounding bias in observational studies by balancing baseline characteristics between treatment groups, simulating randomization. Developed by Rosenbaum and Rubin (1983), it estimates the probability of receiving treatment given observed covariates, then matches or weights treated and control individuals with similar treatment probabilities. Widely used in medicine, epidemiology, and policy evaluation when randomized trials are infeasible or unethical, enabling estimation of treatment effects while controlling for selection bias. |
| ScholarGateডেটাসেট ↗ |
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