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Paneldata-metoden med propensity score matching×Paneldatamodell med fixa effekter×
ÄmnesområdeKausal inferensEkonometri
FamiljRegression modelRegression model
Ursprungsår1997-19982014
UpphovspersonHeckman, Ichimura & ToddHsiao (textbook treatment); within transformation of panel data
TypMatching / causal inferencePanel data regression
UrsprungskällaHeckman, J. J., Ichimura, H., & Todd, P. (1998). Matching as an Econometric Evaluation Estimator. Review of Economic Studies, 65(2), 261-294. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
AliasPSM with panel data, longitudinal PSM, panel PSM, difference-in-differences PSMfixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Närliggande65
SammanfattningPanel data propensity score matching combines the bias-reduction of PSM with the longitudinal structure of panel data, enabling causal estimation of treatment effects by matching treated and control units on observable pre-treatment characteristics and then differencing within matched pairs over time. Developed in the framework of Heckman, Ichimura, and Todd (1998), it is especially valuable when randomisation is infeasible and both selection on observables and time-varying confounding must be addressed simultaneously.The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014).
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  1. v1
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  3. PUBLISHED

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ScholarGateJämför metoder: Panel Data Propensity Score Matching · Panel Fixed Effects. Hämtad 2026-06-17 från https://scholargate.app/sv/compare