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Propensity Score Matching en la Investigació Educativa×Diferència en Diferències (Diff-in-Diff)×
CampInferència causalEconometria
FamíliaRegression modelRegression model
Any d'origen1983 (foundational); education adoption widespread from late 1990s1994
Autor originalRosenbaum & Rubin (1983); widely adopted in education research via Shadish, Cook & Campbell (2002)Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
TipusQuasi-experimental / matching-based causal inferenceCausal inference / panel regression
Font seminalRosenbaum, 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
ÀliesPSM in education, educational PSM, PSM for program evaluation in schools, propensity matching educationdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Relacionats55
ResumPropensity 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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ScholarGateCompara mètodes: Propensity Score Matching in Education Research · Difference-in-Differences. Recuperat el 2026-06-18 de https://scholargate.app/ca/compare