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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 …
Persistent link: https://www.econbiz.de/10012049358
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 …
Persistent link: https://www.econbiz.de/10012202897
Persistent link: https://www.econbiz.de/10012483169
show that limiting distributions of test statistics under may not stochastically dominate those under . A multiple test on …. We illustrate the empirical relevance of our results through testing identification in linear IV models that allows for …
Persistent link: https://www.econbiz.de/10012202917
We consider two likelihood ratio tests, so-called maximum eigenvalue and trace tests, for the null of no cointegration when fractional cointegration is allowed under the alternative, which is a first step to generalize the so-called Johansen's procedure to the fractional cointegration case. The...
Persistent link: https://www.econbiz.de/10012723169
The effects on the standard LM stationarity test of an incorrect specification of an instantaneous break when the true …. A stationarity test is derived for the case of an exogeneously determined smooth transition trend obtaining its … sigmoid. An asymptotic power analysis for the proposed test (under logistic transition) is carried out, and results of a …
Persistent link: https://www.econbiz.de/10012726976
This paper is concerned with tests of restrictions on the sample path of conditional quantile processes. These tests are tantamount to assessments of lack of fit for models of conditional quantile functions or more generally as tests of how certain covariates affect the distribution of an...
Persistent link: https://www.econbiz.de/10012731947
Efficient computational algorithms for bootstrapping linear regression models with clustered data are discussed. For OLS regression, a new algorithm is provided for the pairs cluster bootstrap, and two algorithms for the wild cluster bootstrap are compared. One of these is a new way to express...
Persistent link: https://www.econbiz.de/10012662210
test focuses on inference about a single coefficient, and the other on inference about two or more coefficients. We also …
Persistent link: https://www.econbiz.de/10012201366
a family of hypotheses under test. This correction is considerably more powerful than earlier multiple testing … procedures such as the Bonferroni and Holm corrections, given that it takes into account the dependence structure of the test …
Persistent link: https://www.econbiz.de/10012147332