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Regression modelQuasi-experimental / causal inference

Uchambuzi wa Usambazaji wa Ukosefu wa Uhakika kwa Tathmini ya Sera

Muundo wa Usambazaji wa Ukosefu wa Uhakika (Fuzzy RDD) unakadiria athari ya kisababishi cha sera wakati kustahiki kunatolewa na kuvuka kiwango kwenye alama inayoendelea, lakini utumiaji au utiifu halisi haukamiliki. Uliandaliwa rasmi na Hahn, Todd, na Van der Klaauw (2001), unatumia kiwango kama kigezo cha kiashiria ili kurejesha Athari Wastani ya Matibabu ya Mitaa (LATE) miongoni mwa wanaotii karibu na kikomo.

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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. Imbens, G. W., & Lemieux, T. (2008). Regression discontinuity designs: A guide to practice. Journal of Econometrics, 142(2), 615-635. DOI: 10.1016/j.jeconom.2007.05.001

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Fuzzy Regression Discontinuity Design for Policy Evaluation. ScholarGate. https://scholargate.app/sw/causal-inference/policy-evaluation-fuzzy-regression-discontinuity

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ScholarGatePolicy Evaluation Fuzzy Regression Discontinuity (Fuzzy Regression Discontinuity Design for Policy Evaluation). Imepatikana 2026-06-18 kutoka https://scholargate.app/sw/causal-inference/policy-evaluation-fuzzy-regression-discontinuity · Seti ya data: https://doi.org/10.5281/zenodo.20539026