পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| নীতি মূল্যায়নের জন্য সিন্থেটিক কন্ট্রোল পদ্ধতি× | প্রোপেনসিটি স্কোর ম্যাচিং (Propensity Score Matching)× | |
|---|---|---|
| ক্ষেত্র≠ | কার্যকারণ অনুমান | গবেষণা পরিসংখ্যান |
| পরিবার≠ | Regression model | Process / pipeline |
| উদ্ভবের বছর≠ | 2003-2010 | 1983 |
| প্রবর্তক≠ | Alberto Abadie & Javier Gardeazabal; extended by Abadie, Diamond & Hainmueller | Paul Rosenbaum and Donald Rubin |
| ধরন≠ | Causal inference / comparative case study | Method |
| মৌলিক উৎস≠ | Abadie, A., Diamond, A., & Hainmueller, J. (2010). Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program. Journal of the American Statistical Association, 105(490), 493-505. 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≠ | Synthetic Control Method, SCM, Synthetic Control, Abadie-Diamond-Hainmueller method | PSM, propensity score weighting, covariate balance |
| সম্পর্কিত≠ | 5 | 3 |
| সারসংক্ষেপ≠ | The Synthetic Control Method (SCM) is a causal inference technique for evaluating the effect of a policy or intervention on a single treated unit — such as a region, country, or firm — by constructing a weighted combination of untreated comparison units that closely mirrors the treated unit before the intervention. Introduced by Abadie and Gardeazabal (2003) and formalized by Abadie, Diamond, and Hainmueller (2010), it provides a data-driven, transparent counterfactual for comparative case studies. | 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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