ScholarGate
Pembantu

Bandingkan kaedah

Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.

Reka Bentuk Pecahan Regresi (RDD)×Padanan Skor Kecenderungan×
BidangInferens KausalStatistik Penyelidikan
KeluargaRegression modelProcess / pipeline
Tahun asal20081983
PengasasImbens & Lemieux (guide to practice); Cattaneo, Idrobo & Titiunik (practical introduction)Paul Rosenbaum and Donald Rubin
JenisQuasi-experimental causal designMethod
Sumber perintisImbens, G. W., & Lemieux, T. (2008). Regression Discontinuity Designs: A Guide to Practice. Journal of Econometrics, 142(2), 615-635. DOI ↗Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41–55. DOI ↗
AliasRDD, regression discontinuity design, sharp RDD, fuzzy RDDPSM, propensity score weighting, covariate balance
Berkaitan53
RingkasanRegression 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.Propensity score matching (PSM) is a method for reducing confounding bias in observational studies by balancing baseline characteristics between treatment groups, simulating randomization. Developed by Rosenbaum and Rubin (1983), it estimates the probability of receiving treatment given observed covariates, then matches or weights treated and control individuals with similar treatment probabilities. Widely used in medicine, epidemiology, and policy evaluation when randomized trials are infeasible or unethical, enabling estimation of treatment effects while controlling for selection bias.
ScholarGateSet data
  1. v1
  2. 2 Sumber
  3. PUBLISHED
  1. v1
  2. 3 Sumber
  3. PUBLISHED

Pergi ke carian Muat turun slaid

ScholarGateBandingkan kaedah: Regression Discontinuity · Propensity Score Matching. Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare