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. Robustness of an estimator is defined as its root-$n$ consistency at all points in the model, and efficicency is based on the …
Persistent link: https://www.econbiz.de/10005479021
In the general linear errors-in-variables model the main results have been derived under the assuption that the …
Persistent link: https://www.econbiz.de/10005424057
Persistent link: https://www.econbiz.de/10005022238
This paper proposes a particular behavioral assumption to characterize the stochastic structure of intertemporal discrete choice models in the absence of state dependence. This assumption extends Luce's axiom; "Independence from Irrelevant Alternatives", to the intertemporal context. Under...
Persistent link: https://www.econbiz.de/10005652224
Persistent link: https://www.econbiz.de/10005657301
the final, preliminary, and concurrent estimator and in the forecast) are obtained for any admissible decomposition. …
Persistent link: https://www.econbiz.de/10005657315
Five different identification problems in mixture models are made explicit. Necessary and sufficient relationships among these problems of identification are analyzed using the concepts of weak and strong identification. This analysis is first particularized under a normality assumption and then...
Persistent link: https://www.econbiz.de/10005661158
Results for the identification of non-linear models are used to support the raditional form of he order condition by … testing identifiability. This approach canbe extended to sub-blocks of he system and it generalizes to non-linear rest …
Persistent link: https://www.econbiz.de/10005669351
A unit root test is usually carried out by using the regression test introduced by Dickey and Fuller (1979). Under the null hypothesis the series should be a random walk. But a non-stationary series can usually be decomposed into a random walk and a stationary component. This is what is done in...
Persistent link: https://www.econbiz.de/10005669448
Most confidence intervals, whether based on asymptotic theory or the bootstrap, are implicitly based on inverting a Wald test. Since Wald test statistics are not invariant under nonlinear reparametrizations of the restrictions they test, confidence intervals based on them are not invariant...
Persistent link: https://www.econbiz.de/10005669491