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distribution is normal under the null hypothesis, and a consistent bootstrap is available to get simulation based critical values …
Persistent link: https://www.econbiz.de/10003550675
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We propose a class of new robust GMM tests for endogenous structural breaks. The tests are based on supremum, average and exponential functionals derived from robust GMM estimators with bounded influence function. We study the theoretical local robustness properties of the new tests and show...
Persistent link: https://www.econbiz.de/10014072451
Using 2SLS estimation, we propose two tests for a threshold in models with endogenous regressors: a sup LR test and a sup Wald test. Here, the 2SLS estimation is not conventional because it uses additional information about the first-stage being linear or not. Because of this additional...
Persistent link: https://www.econbiz.de/10012985845
We propose two new parametric tests for an unknown threshold in models with endogenous regressors. They are both based on unconventional 2SLS estimators that use additional information about the linearity of the first stage. This information leads to more accurate residuals and therefore tests...
Persistent link: https://www.econbiz.de/10012860181
asymptotic refinements implied with respect to the standard asymptotic theory. Our approach delivers the same higher order …
Persistent link: https://www.econbiz.de/10014178027
theory. Moreover, in most cases the accuracy of our procedure is also better and more stable than that of block bootstrap …
Persistent link: https://www.econbiz.de/10014106743
This paper establishes the higher-order equivalence of the k-step bootstrap, introduced recently by Davidson and MacKinnon (1999a), and the standard bootstrap. The k-step bootstrap is a very attractive alternative computationally to the standard bootstrap for statistics based on nonlinear...
Persistent link: https://www.econbiz.de/10014164441
This paper deals with nonparametric inference for second order stochastic dominance of two random variables. If their distribution functions are unknown they have to be inferred from observed realizations. Thus, any results on stochastic dominance are influenced by sampling errors. We establish...
Persistent link: https://www.econbiz.de/10008992397