This paper is related to the specification test introduced by J. Hausman. A specification test is often used as a first step in an estimation procedure. In the case of the linear model the biases and the mean square errors of the classical and of the specification pre-test estimators are computed and compared. It is shown that the latter is not uniformly better than the former and conversely. In the case of a four-variables model, regions in the parameters space where the specification pre-test estimator outdoes the classical one are numerically settled
Widely-used estimators such as the generalized method of moments (GMM) and quasi-maximum likelihood ...
Hausman (1978) developed a widely-used model specification test that has passed the test of time. Th...
We consider the effects of incorrectly assuming a scalar error covariance matrix in a linear regress...
International audienceTesting the specification of econometric models has come a long way from the t...
This paper introduces and investigates a new pre-test estimator for the parameter vector of the line...
We consider the pre-test estimation of . the parameters of a linear regression model after a prelimi...
A general model specification test of a parametric model against a nonparametric or semiparametric a...
Concern over the effects of public policies based on misspecified econometric models motivates inter...
This paper investigates the asymptotic size properties of a two-stage test in the linear instrumenta...
It is well known that most of the standard specification tests are not robust when the alternative i...
Essay 1. An umbrella test for general misspecification. A simple test designed to detect a wide rang...
The partial adjustment and adaptive expectations hypotheses give rise to simple dynamic models with ...
Empirical researchers often perform model specification tests, such as the Hausman test and the over...
This paper presents a simple and easy to use test for selecting the appropriate model to estimate wh...
markdownabstract__Abstract__ Hausman (1978) developed a widely-used model specification test that...
Widely-used estimators such as the generalized method of moments (GMM) and quasi-maximum likelihood ...
Hausman (1978) developed a widely-used model specification test that has passed the test of time. Th...
We consider the effects of incorrectly assuming a scalar error covariance matrix in a linear regress...
International audienceTesting the specification of econometric models has come a long way from the t...
This paper introduces and investigates a new pre-test estimator for the parameter vector of the line...
We consider the pre-test estimation of . the parameters of a linear regression model after a prelimi...
A general model specification test of a parametric model against a nonparametric or semiparametric a...
Concern over the effects of public policies based on misspecified econometric models motivates inter...
This paper investigates the asymptotic size properties of a two-stage test in the linear instrumenta...
It is well known that most of the standard specification tests are not robust when the alternative i...
Essay 1. An umbrella test for general misspecification. A simple test designed to detect a wide rang...
The partial adjustment and adaptive expectations hypotheses give rise to simple dynamic models with ...
Empirical researchers often perform model specification tests, such as the Hausman test and the over...
This paper presents a simple and easy to use test for selecting the appropriate model to estimate wh...
markdownabstract__Abstract__ Hausman (1978) developed a widely-used model specification test that...
Widely-used estimators such as the generalized method of moments (GMM) and quasi-maximum likelihood ...
Hausman (1978) developed a widely-used model specification test that has passed the test of time. Th...
We consider the effects of incorrectly assuming a scalar error covariance matrix in a linear regress...