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Модель панельных данных с фиксированными эффектами×Модель случайных эффектов для панельных данных×
ОбластьЭконометрикаЭконометрика
СемействоRegression modelRegression model
Год появления20051978
Автор методаBaltagi (textbook treatment); Hausman test for FE vs RE choiceBaltagi (textbook treatment); Hausman specification test
ТипPanel data regressionPanel data regression
Основополагающий источникHausman, J. A. (1978). Specification Tests in Econometrics. Econometrica, 46(6), 1251–1271. DOI ↗Hausman, J. A. (1978). Specification Tests in Econometrics. Econometrica, 46(6), 1251-1271. DOI ↗
Другие названияwithin estimator, panel fixed effects, entity fixed effects model, Panel Sabit Etkiler Modelirandom effects panel regression, RE estimator, GLS panel estimator, Panel Rassal Etkiler Modeli
Связанные55
СводкаThe fixed effects panel model estimates relationships in panel data (many units observed over time) by exploiting only the within-unit variation, so that unobserved time-invariant heterogeneity is controlled away. It is the central within estimator developed in Baltagi's Econometric Analysis of Panel Data (2005), and the choice between it and the random effects model is settled by the Hausman (1978) test.The random effects model is a panel data estimator that explains an outcome using both within-unit and between-unit variation, treating the unobserved unit-specific heterogeneity as a random, normally distributed term rather than a fixed parameter. Its validity is judged with the Hausman (1978) specification test, and it is developed in standard treatments such as Baltagi's Econometric Analysis of Panel Data.
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
  1. v1
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ScholarGateСравнение методов: Fixed Effects Panel Model · Random Effects Panel Model. Получено 2026-06-18 из https://scholargate.app/ru/compare