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Regression modelQuasi-experimental / causal inference

Muundo wa Regression Discontinuity wa Kufifia Ulioimarishwa na Mashine ya Kujifunza

ML-augmented fuzzy RDD inapanua muundo wa classical fuzzy regression discontinuity kwa kubadilisha makadirio ya polynomial ya kigezo na vipimo rahisi vya mashine ya kujifunza. Ambapo fuzzy RDD ya kawaida hutumia makadirio ya mtindo wa IV kwenye kizingiti na utiifu usio kamili, lahaja iliyoimarishwa na ML hutumia wajifunzaji wasio wa kigezo — kama vile misitu ya nasibu au mitandao ya neva — kuunda matokeo na uwezekano wa kwanza wa matibabu karibu na kukatwa, kupunguza upotoshaji wa kukosa vipimo huku ikihifadhi utambulisho wa kisababishi.

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Vyanzo

  1. Hahn, J., Todd, P., & Van der Klaauw, W. (2001). Identification and estimation of treatment effects with a regression-discontinuity design. Review of Economic Studies, 68(1), 201-209. DOI: 10.1111/1468-0262.00183
  2. Semenova, V., & Chernozhukov, V. (2021). Debiased machine learning of conditional average treatment effects and other causal functions. The Econometrics Journal, 24(2), 264-289. DOI: 10.1093/ectj/utaa027

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Machine Learning-Augmented Fuzzy Regression Discontinuity Design. ScholarGate. https://scholargate.app/sw/causal-inference/machine-learning-augmented-fuzzy-regression-discontinuity

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ScholarGateMachine Learning-Augmented Fuzzy Regression Discontinuity (Machine Learning-Augmented Fuzzy Regression Discontinuity Design). Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/causal-inference/machine-learning-augmented-fuzzy-regression-discontinuity · Seti ya data: https://doi.org/10.5281/zenodo.20539026