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教育研究中的倾向得分匹配×双重差分法 (Diff-in-Diff)×
领域因果推断计量经济学
方法族Regression modelRegression model
起源年份1983 (foundational); education adoption widespread from late 1990s1994
提出者Rosenbaum & Rubin (1983); widely adopted in education research via Shadish, Cook & Campbell (2002)Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
类型Quasi-experimental / matching-based causal inferenceCausal inference / panel regression
开创性文献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 ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
别名PSM in education, educational PSM, PSM for program evaluation in schools, propensity matching educationdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
相关55
摘要Propensity Score Matching (PSM) in education research is a quasi-experimental technique that creates comparable treatment and control groups from observational student, teacher, or school data. By balancing groups on observed background characteristics, it enables credible causal estimates of educational interventions — such as tutoring programs, school choice policies, or teacher professional development — when random assignment is infeasible.Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes.
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ScholarGate方法对比: Propensity Score Matching in Education Research · Difference-in-Differences. 于 2026-06-18 检索自 https://scholargate.app/zh/compare