ScholarGate
المساعد

قارن الطرق

راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.

تصميم الانحدار المقطوع (RDD)×المتغيرات الآلية عبر المربعات الصغرى ذات المرحلتين (IV/2SLS)×
المجالالاستدلال السببيالاستدلال السببي
العائلةRegression modelRegression model
سنة النشأة20082009
صاحب الطريقةImbens & Lemieux (guide to practice); Cattaneo, Idrobo & Titiunik (practical introduction)Angrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory)
النوعQuasi-experimental causal designInstrumental-variables regression
المصدر التأسيسيImbens, G. W., & Lemieux, T. (2008). Regression Discontinuity Designs: A Guide to Practice. Journal of Econometrics, 142(2), 615-635. DOI ↗Angrist, J. D. & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
الأسماء البديلةRDD, regression discontinuity design, sharp RDD, fuzzy RDDinstrumental variables, IV estimation, 2SLS, instrumental variable regression
ذات صلة55
الملخصRegression Discontinuity Design is a quasi-experimental method that identifies a causal effect by locally comparing units just above and just below a cutoff on a continuous assignment (running) variable. Formalised for applied work by Imbens and Lemieux (2008) and developed as a practical framework by Cattaneo, Idrobo, and Titiunik (2020), it estimates a local average treatment effect (LATE) at the threshold.IV/2SLS is a two-stage estimation method that recovers the causal effect of an endogenous regressor by isolating the part of its variation driven by an external instrument. It is the workhorse identification strategy in modern applied econometrics, developed at length in Angrist and Pischke's Mostly Harmless Econometrics (2009).
ScholarGateمجموعة البيانات
  1. v1
  2. 2 المصادر
  3. PUBLISHED
  1. v1
  2. 2 المصادر
  3. PUBLISHED

انتقل إلى البحث تنزيل الشرائح

ScholarGateقارن الطرق: Regression Discontinuity · Two-Stage Least Squares (2SLS). استُرجع بتاريخ 2026-06-18 من https://scholargate.app/ar/compare