GitHub / emeyer-hansen / synthetic_causal_framework

The Synthetic Causal Framework (SCF) is a novel methodological framework for deriving reliable and valid causal inference for non-manipulable phenomena through use of synthetic units.

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PURL: pkg:github/emeyer-hansen/synthetic_causal_framework

Topics: causal-design, causal-framework, causal-inference, causal-methodology, experimental-design, fundamental-problem-of-causal-inference, large-language-model, natural-language-processing, parallel-worlds-estimation, political-methodology, political-science, potential-outcomes-framework, quantitative-social-science, scf, sct, simulated-units, synthetic-causal-framework, synthetic-units, synthetically-controlled-trial, welfare-attitudes

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