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Marginalový štrukturálny model na hodnotenie politík×Metóda rozdielu rozdielov (Diff-in-Diff)×
OdborKauzálna inferenciaEkonometria
RodinaRegression modelRegression model
Rok vzniku20001994
TvorcaJames M. Robins, Miguel A. Hernan, Babette BrumbackCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
TypCausal inference / weighted regressionCausal inference / panel regression
Pôvodný zdrojRobins, J. M., Hernan, M. A., & Brumback, B. (2000). Marginal structural models and causal inference in epidemiology. Epidemiology, 11(5), 550–560. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Ďalšie názvyMSM for policy evaluation, policy MSM, causal MSM, structural policy weighting modeldiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Príbuzné65
ZhrnutieA Policy Evaluation Marginal Structural Model (MSM) is a causal inference framework that estimates the population-average effect of a policy by using inverse probability weighting to create a pseudo-population in which treatment assignment is independent of measured confounders, enabling unbiased comparison of potential outcomes under different policy scenarios from observational data.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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ScholarGatePorovnať metódy: Policy Evaluation Marginal Structural Model · Difference-in-Differences. Získané 2026-06-15 z https://scholargate.app/sk/compare