We establish that under mild conditions, testing for the individual sig-nificance of an impulse indicator in the conditional model, selected on the basis of prior testing of its significance in the impulse saturated marginal model does not require bootstrapping critical values. Extensive Monte Carlo evidence shows that the real size of a joint F test in the conditional on the block of dummies retained from the marginal is independent of nominal size used for impulse saturation used in the marginal model. The findings are shown to hold for a plethora of dynamic models and sample sizes. Such results are fundamental not only in model selection theory, but also for the emerging class of automatically computable super exogeneity tests
This paper proposes a test for selecting explanatory variables in nonparametric regression. The test...
This paper investigates, via simulation, the performance of the inference of a pretest estimator bas...
Statistical inference is traditionally based on the assumption that one single model is the true mod...
We establish that under mild conditions, testing for the individual significance of an impulse indic...
We develop a new automatically-computable test for super exogeneity, using a variant of general-to-s...
We develop a new automatically-computable test for super exogeneity, using a variant of general-to-s...
We develop a new automatically-computable test for super exogeneity, using a variant of general-to-s...
This paper develops a joint test for the exogeneity and the relevance of instrumental variables usin...
We study the asymptotic validity of the bootstrap for Durbin–Wu–Hausman tests of exogeneity, with or...
We develop a specification test for the independent instrument assumption in the sample selection mo...
We consider selecting an econometric model when there is uncertainty over both the choice of variabl...
We consider selecting an econometric model when there is uncertainty over both the choice of variabl...
It is common practice in statistical data analysis to perform data-driven variable selection and der...
To perform inference after model selection, we propose controlling the selective type I error; i.e.,...
We consider selecting an econometric model when there is uncertainty over both the choice of variabl...
This paper proposes a test for selecting explanatory variables in nonparametric regression. The test...
This paper investigates, via simulation, the performance of the inference of a pretest estimator bas...
Statistical inference is traditionally based on the assumption that one single model is the true mod...
We establish that under mild conditions, testing for the individual significance of an impulse indic...
We develop a new automatically-computable test for super exogeneity, using a variant of general-to-s...
We develop a new automatically-computable test for super exogeneity, using a variant of general-to-s...
We develop a new automatically-computable test for super exogeneity, using a variant of general-to-s...
This paper develops a joint test for the exogeneity and the relevance of instrumental variables usin...
We study the asymptotic validity of the bootstrap for Durbin–Wu–Hausman tests of exogeneity, with or...
We develop a specification test for the independent instrument assumption in the sample selection mo...
We consider selecting an econometric model when there is uncertainty over both the choice of variabl...
We consider selecting an econometric model when there is uncertainty over both the choice of variabl...
It is common practice in statistical data analysis to perform data-driven variable selection and der...
To perform inference after model selection, we propose controlling the selective type I error; i.e.,...
We consider selecting an econometric model when there is uncertainty over both the choice of variabl...
This paper proposes a test for selecting explanatory variables in nonparametric regression. The test...
This paper investigates, via simulation, the performance of the inference of a pretest estimator bas...
Statistical inference is traditionally based on the assumption that one single model is the true mod...