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Regression modelQuasi-experimental / causal inference

Usuli wa Regression Discontinuity Design (RDD) Uimarishaji

Usuli wa RDD Uimarishaji unapanua usuli wa kawaida wa regression discontinuity design kwa masahihisho ya upotoshaji (bias correction) na vipindi vya imani imara (robust confidence intervals), ukishughulikia tatizo la chini-huduma (under-coverage) la dhana ya kawaida ya RDD. Uliotengenezwa na Calonico, Cattaneo, na Titiunik (2014), unatumia makadirio ya mlinganyo wa ndani (local polynomial estimation) kwa makadirio ya nukta yaliyorekebishwa upotoshaji na kipengele cha upana wa kosa (variance term) kinachojumuisha uhakika mdogo ulioongezwa, na hivyo kutoa vipindi vya imani vyenye huduma sahihi ya muda mrefu (asymptotic coverage).

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Vyanzo

  1. Calonico, S., Cattaneo, M. D., & Titiunik, R. (2014). Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs. Econometrica, 82(6), 2295-2326. DOI: 10.3982/ECTA11757
  2. Cattaneo, M. D., Idrobo, N., & Titiunik, R. (2019). A Practical Introduction to Regression Discontinuity Designs: Foundations. Cambridge University Press. ISBN: 978-1108710206

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Robust Bias-Corrected Regression Discontinuity Design. ScholarGate. https://scholargate.app/sw/causal-inference/robust-regression-discontinuity-design

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ScholarGateRobust Regression Discontinuity Design (Robust Bias-Corrected Regression Discontinuity Design). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/causal-inference/robust-regression-discontinuity-design · Seti ya data: https://doi.org/10.5281/zenodo.20539026