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Porovnat metody

Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.

Vážení inverzní pravděpodobností v pedagogickém výzkumu×Rozdíl v rozdílech (Diff-in-Diff)×
OborKauzální inferenceEkonometrie
RodinaRegression modelRegression model
Rok vzniku1983–20031994
TvůrceRosenbaum & Rubin (propensity score, 1983); Hirano, Imbens & Ridder (efficient IPW, 2003)Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
TypCausal weighting estimatorCausal inference / panel regression
Původní zdrojHirano, K., Imbens, G. W., & Ridder, G. (2003). Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score. Econometrica, 71(4), 1161-1189. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Další názvyIPW in education, propensity-weighted analysis, IPTW education, inverse probability treatment weightingdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Příbuzné65
ShrnutíInverse Probability Weighting (IPW) is a causal inference technique that reweights observational education data to mimic a randomised experiment. Each student or school is assigned a weight equal to the inverse of the probability they received the treatment — thereby creating a pseudo-population in which programme participation is independent of measured background characteristics. The method is widely used in education research to evaluate school programmes, interventions, and policies from administrative or survey 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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ScholarGatePorovnat metody: Inverse Probability Weighting in Education Research · Difference-in-Differences. Získáno 2026-06-18 z https://scholargate.app/cs/compare