Cragg and Donald (1996) have pointed out that the asymptotic size of tests for overidentifying restrictions can be much smaller than the asymptotic nominal size when the structural equation is partially identified. This may lead to misleading inference if the critical values are obtained from a chi-square distribution. To overcome this problem we derive the exact asymptotic distribution of the Byron test statistic. This allows the calculation of asymptotic critical values and p-values corrected for possible failure of identification
This thesis considers the problem of testing linear restrictions on coefficients of a single equatio...
This note considers testing overidentifying restrictions with incorrect weights in a generalized met...
In this note we show that for some structural equation models (SEM), the classical chi-square goodne...
Cragg and Donald (1996) have pointed out that the asymptotic size of tests for overidentifying restr...
The local power function of the size-corrected likelihood ratio, linearized likelihood ratio, and La...
A family of tests of significance is developed for coefficients in a single equation of a simultaneo...
International audienceWe show that the standard test for testing overidentifying restrictions, which...
In causal inference, all methods of model learning rely on testable implications, namely, properties...
This paper develops exact finite sample and asymptotic distributions for structural equation tests b...
We study the finite-sample properties of tests for overidentifying restrictions in linear regression...
In the estimation of simultaneous equation econometric models, overidentifying restrictions improve ...
This paper develops exact finite sample and asymptotic distributions for structural equation tests ba...
Little attention has been paid to the nite-sample properties of tests for overidentifying restrictio...
We derive general formulae for the asymptotic distribution of the LIML estimator for the coefficient...
This thesis considers the problem of testing linear restrictions on coefficients of a single equatio...
This note considers testing overidentifying restrictions with incorrect weights in a generalized met...
In this note we show that for some structural equation models (SEM), the classical chi-square goodne...
Cragg and Donald (1996) have pointed out that the asymptotic size of tests for overidentifying restr...
The local power function of the size-corrected likelihood ratio, linearized likelihood ratio, and La...
A family of tests of significance is developed for coefficients in a single equation of a simultaneo...
International audienceWe show that the standard test for testing overidentifying restrictions, which...
In causal inference, all methods of model learning rely on testable implications, namely, properties...
This paper develops exact finite sample and asymptotic distributions for structural equation tests b...
We study the finite-sample properties of tests for overidentifying restrictions in linear regression...
In the estimation of simultaneous equation econometric models, overidentifying restrictions improve ...
This paper develops exact finite sample and asymptotic distributions for structural equation tests ba...
Little attention has been paid to the nite-sample properties of tests for overidentifying restrictio...
We derive general formulae for the asymptotic distribution of the LIML estimator for the coefficient...
This thesis considers the problem of testing linear restrictions on coefficients of a single equatio...
This note considers testing overidentifying restrictions with incorrect weights in a generalized met...
In this note we show that for some structural equation models (SEM), the classical chi-square goodne...