's whose critical values are designed to yield robustness to identification problems. The results of the paper are applied to a …

criterion functions. We determine the asymptotic distributions of estimators under lack of identification and under weak, semi …-strong, and strong identification. We determine the asymptotic size (in a uniform sense) of standard t and quasi-likelihood ratio … identification. The results are applied to two examples: a nonlinear binary choice model and the smooth transition threshold …

's robust to such identification problems. The results apply to a class of extremum estimators and corresponding tests and CS … the parameter that determines the strength of identification. This covers a class of models estimated using maximum … sense) of standard and identification-robust tests and CS's are established. The results are applied to the ARMA(1, 1) time …

criterion functions. We determine the asymptotic distributions of estimators under lack of identification and under weak, semi …-strong, and strong identification. We determine the asymptotic size (in a uniform sense) of standard t and quasi-likelihood ratio … identification. The results are applied to two examples: a nonlinear binary choice model and the smooth transition threshold …

methods to make the tests and CS's robust to such identification problems. The results apply to a class of extremum estimators …

identification failure when the source of this identification failure is known. We examine models that may have a general deficient … rank Jacobian in certain parts of the parameter space. When identification fails in one of these models, it becomes … underidentified and the identification status of individual parameters is not generally straightforward to characterize. We provide a …

identification failure when the source of this identification failure is known. We examine models that may have a general deficient … rank Jacobian in certain parts of the parameter space. When identification fails in one of these models, it becomes … underidentified and the identification status of individual parameters is not generally straightforward to characterize. We provide a …

This paper introduces a new identification‐ and singularity‐robust conditional quasi‐likelihood ratio (SR‐CQLR) test … and a new identification‐ and singularity‐robust Anderson and Rubin (1949) (SR‐AR) test for linear and nonlinear moment …‐CQLR test is shown to be asymptotically efficient in a GMM sense under strong and semi‐strong identification (for all k ≥ p …

We discuss statistical inference problems associated with identification and testability in econometrics, and we … hypotheses, for which test procedures are commonly proposed, are not testable at all, while some frequently used econometric …