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Модел с Байесови фиксирани ефекти×Модел с фиксирани ефекти за панелни данни×
ОбластИконометрияИконометрия
СемействоRegression modelRegression model
Година на възникване2000–20081978
СъздателChib (2008); Lancaster (2000)Mundlak (1978); classical treatment in Wooldridge (2010) and Baltagi (2021)
ТипBayesian panel regressionPanel regression estimator
Основополагащ източникLancaster, T. (2000). The incidental parameter problem since 1948. Journal of Econometrics, 95(2), 391–413. DOI ↗Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586
Други названияBayesian within estimator, Bayesian FE model, Bayesian individual fixed effects, Bayesian least squares dummy variablewithin estimator, FE model, within-group estimator, LSDV model
Свързани55
РезюмеThe Bayesian fixed effects model applies Bayesian inference to the classical within-group panel estimator. Unit-specific intercepts capture time-invariant unobserved heterogeneity, while prior distributions on all parameters allow probability statements about coefficients and full uncertainty quantification via the posterior distribution.The panel fixed effects (FE) model controls for all time-invariant, unit-specific unobserved heterogeneity by absorbing it into individual intercepts. By sweeping out unit means through the within transformation, FE yields unbiased estimates of the effect of time-varying regressors even when omitted unit-level confounders are correlated with those regressors.
ScholarGateНабор от данни
  1. v1
  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 2 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: Bayesian Fixed Effects Model · Panel Fixed Effects Model. Извлечено на 2026-06-15 от https://scholargate.app/bg/compare