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Balance de Entropía para Datos de Panel×Modelo de Efectos Fijos para Datos de Panel×
CampoInferencia causalEconometría
FamiliaRegression modelRegression model
Año de origen2012 (cross-section); panel adaptation mid-2010s onward2014
Autor originalHainmueller (2012); extended to panel settings by subsequent applied econometric workHsiao (textbook treatment); within transformation of panel data
TipoCovariate balancing / reweighting estimatorPanel data regression
Fuente seminalHainmueller, J. (2012). Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies. Political Analysis, 20(1), 25-46. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
AliasEB-panel, panel entropy balancing, entropy reweighting in panel data, panel-EBfixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Relacionados55
ResumenPanel data entropy balancing extends Hainmueller's (2012) entropy balancing method to longitudinal settings. It computes unit-level weights for control observations so that their covariate moments exactly match those of the treatment group across panel periods, then plugs these weights into a weighted panel regression to estimate causal treatment effects without requiring a correctly specified propensity score model.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
  2. 2 Fuentes
  3. PUBLISHED

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ScholarGateComparar métodos: Panel Data Entropy Balancing · Panel Fixed Effects. Recuperado el 2026-06-17 de https://scholargate.app/es/compare