Authors: Rothe, Christoph
Wied, Dominik
Title: Misspecification testing in a class of conditional distributional models
Language (ISO): en
Abstract: We propose a specification test for a wide range of parametric models for conditional distribution function of an outcome variable given a vector of covariates. The test is based on the Cramer-von Mises distance between an unrestricted estimate of the joint distribution function of the data, and an restricted estimate that imposes the structure implied by the model. The procedure is straightforward to implement, is consistent against fixed alternatives, has non-trivial power against local deviations from the null hypothesis of order n^(-1/2), and does not require the choice of smoothing parameters. We also provide an empirical application using data on wages in the US.
Subject Headings: Bootstrap
Cramer-von Mises Distance
Distributional Regression
Quantile Regression
URI: http://hdl.handle.net/2003/27575
http://dx.doi.org/10.17877/DE290R-4172
Issue Date: 2011-01-18
Is replaced by: http://hdl.handle.net/2003/27595
Appears in Collections:Sonderforschungsbereich (SFB) 823

Files in This Item:
There are no files associated with this item.


This item is protected by original copyright



All resources in the repository are protected by copyright.