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Nonlinear Hausman-specifikationstest×Hausman-specifikationstesten (FE vs RE)×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår1978 (nonlinear extension developed through 1980s–1990s)1978
OphavspersonJerry A. HausmanJerry A. Hausman
TypeSpecification / endogeneity testSpecification test for panel data models
Oprindelig kildeHausman, 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 ↗
AliasserHausman specification test (nonlinear), nonlinear endogeneity test, Wu-Hausman test (nonlinear), NL-Hausman testHausman specification test, FE vs RE test, Durbin-Wu-Hausman test, Hausman Spesifikasyon Testi (FE vs RE)
Relaterede35
ResuméThe Nonlinear Hausman test extends Hausman's (1978) endogeneity specification test to nonlinear models such as probit, logit, Tobit, and count-data regressions. It tests whether suspected regressors are endogenous — i.e., correlated with the error term — in a model where the outcome or the relationship is inherently nonlinear, ensuring that IV-corrected estimates are necessary.The Hausman test is a specification test, introduced by Jerry A. Hausman in 1978, that decides between the fixed-effects (FE) and random-effects (RE) estimators in panel data models. The null hypothesis is that the random-effects estimator is consistent and efficient and should be preferred; the alternative is that random effects is inconsistent and fixed effects is required because the unit-specific effects are correlated with the explanatory variables.
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ScholarGateSammenlign metoder: Nonlinear Hausman test · Hausman Test. Hentet 2026-06-18 fra https://scholargate.app/da/compare