পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| কারণগততার জন্য ভিন্নধর্মী ট্রিটমেন্ট ইফেক্ট সংবেদনশীলতা বিশ্লেষণ× | ডিফারেন্স-ইন-ডিফারেন্সেস (ডিফ-ইন-ডিফ)× | |
|---|---|---|
| ক্ষেত্র≠ | কার্যকারণ অনুমান | অর্থমিতি |
| পরিবার | Regression model | Regression model |
| উদ্ভবের বছর≠ | 2000s–2010s | 1994 |
| প্রবর্তক≠ | Rosenbaum (sensitivity analysis framework); extended to heterogeneous effects by Crump, Imbens, and others | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| ধরন≠ | Robustness / sensitivity check | Causal inference / panel regression |
| মৌলিক উৎস≠ | Rosenbaum, P. R. (2002). Observational Studies (2nd ed.). Springer. ISBN: 978-0387989679 | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| অপর নাম≠ | HTE sensitivity analysis, heterogeneous-effects sensitivity analysis, sensitivity analysis with effect heterogeneity, HTE robustness analysis | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| সম্পর্কিত | 5 | 5 |
| সারসংক্ষেপ≠ | Heterogeneous Treatment Effect Sensitivity Analysis examines how robust subgroup-specific causal estimates are to unobserved confounding. Rather than testing a single average treatment effect, it asks whether the estimated variation in treatment effects across units or subgroups could be explained away by hidden bias, and at what level of hidden bias the causal conclusions for each subgroup would break down. | Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes. |
| ScholarGateডেটাসেট ↗ |
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