Showing 1 - 10 of 22
to invent tools and methodologies for effective inferences in panel unit root models. Simulations show that our approach …
Persistent link: https://www.econbiz.de/10010574097
This paper is concerned with the use of the bootstrap for statistics in spatial econometric models, with a focus on the test statistic for Moran’s I test for spatial dependence. We show that, for many statistics in spatial econometric models, the bootstrap can be studied based on...
Persistent link: https://www.econbiz.de/10011117413
To test the existence of spatial dependence in an econometric model, a convenient test is the Lagrange Multiplier (LM) test. However, evidence shows that, in finite samples, the LM test referring to asymptotic critical values may suffer from the problems of size distortion and low power, which...
Persistent link: https://www.econbiz.de/10011190729
We propose a consistent test for a linear functional form against a nonparametric alternative in a fixed effects panel … well for panel data with a large number of cross-sectional units and a finite number of observations across time. …
Persistent link: https://www.econbiz.de/10010730130
We propose a bootstrap method for statistics that are a function of multivariate high frequency returns such as realized regression, covariance and correlation coefficients. We show that the finite sample performance of the bootstrap is superior to the existing first-order asymptotic theory....
Persistent link: https://www.econbiz.de/10011052229
We propose a fast resample method for two step nonlinear parametric and semiparametric models, which does not require recomputation of the second stage estimator during each resample iteration. The fast resample method directly exploits the score function representations computed on each...
Persistent link: https://www.econbiz.de/10010753478
This paper considers the problem of choosing the number of bootstrap repetitions B for bootstrap standard errors, confidence intervals, and tests. For each of these problems, the paper provides a three-step method for choosing B to achieve a desired level of accuracy. Accuracy is measured by the...
Persistent link: https://www.econbiz.de/10004990816
We propose a new method of testing stochastic dominance that improves on existing tests based on the standard bootstrap or subsampling. The method admits prospects involving infinite as well as finite dimensional unknown parameters, so that the variables are allowed to be residuals from...
Persistent link: https://www.econbiz.de/10005011842
This paper considers an empirical likelihood method to estimate the parameters of the quantile regression (QR) models and to construct confidence regions that are accurate in finite samples. To achieve the higher-order refinements, we smooth the estimating equations for the empirical likelihood....
Persistent link: https://www.econbiz.de/10005593469
We propose a procedure for estimating the critical values of the Klecan, McFadden, and McFadden (1990) test for first and second order stochastic dominance in the general k-prospect case. Our method is based on subsampling bootstrap. We show that the resulting test is consistent. We allow for...
Persistent link: https://www.econbiz.de/10005593569