ScholarGate
Асистент

Сравнение на методи

Прегледайте избраните методи един до друг; редовете с разлики са откроени.

Модел със здрави фиксирани ефекти×Тест на Хаусман за панелни данни×
ОбластИконометрияИконометрия
СемействоRegression modelRegression model
Година на възникване19871978
СъздателManuel ArellanoJerry A. Hausman
ТипPanel regression with robust inferenceSpecification test
Основополагащ източникArellano, M. (1987). Computing robust standard errors for within-groups estimators. Oxford Bulletin of Economics and Statistics, 49(4), 431–434. link ↗Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. DOI ↗
Други названияFE with robust standard errors, cluster-robust fixed effects, fixed effects with heteroscedasticity-robust SE, within estimator with robust inferenceHausman endogeneity test, Wu-Hausman test, fixed-vs-random effects test, Hausman chi-squared test
Свързани55
РезюмеThe robust fixed effects model combines the within-group estimator for panel data with variance-covariance matrices that remain valid under heteroscedasticity and within-unit error correlation. Introduced by Arellano (1987), cluster-robust standard errors paired with the fixed effects estimator are now the default approach for credible panel data inference in economics and social science.The Hausman specification test for panel data determines whether individual-specific effects are correlated with the regressors — a correlation that would make the random effects estimator inconsistent. A statistically significant result favours the fixed effects model; a non-significant result supports the more efficient random effects model.
ScholarGateНабор от данни
  1. v1
  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 2 Източници
  3. PUBLISHED

Към търсенето Изтегляне на слайдове

ScholarGateСравнение на методи: Robust Fixed Effects Model · Panel Hausman Test. Извлечено на 2026-06-18 от https://scholargate.app/bg/compare