Please use this identifier to cite or link to this item:
Neumeyer, Natalie
Dette, Holger
Year of Publication: 
Series/Report no.: 
Technical Report // Universität Dortmund, SFB 475 Komplexitätsreduktion in Multivariaten Datenstrukturen 2003,11
For the problem of testing symmetry of the error distribution in a nonparametric regression model we propose as a test statistic the difference between the two empirical distribution functions of estimated residuals and their counterparts with opposite signs. The weak convergence of the difference process to a Gaussian process is shown. The covariance structure of this process depends heavily on the density of the error distribution, and for this reason the performance of a symmetric wild bootstrap procedure is discussed in asymptotic theory and by means of a simulation study. In contrast to the available procedures the new test is also applicable under heteroscedasticity.
empirical process of residuals
testing for symmetry
nonparametric regression
Document Type: 
Working Paper

Files in This Item:
168.48 kB
365.3 kB

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.