University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Bootstrap conditional distribution tests in the presence of dynamic misspecification

Corradi, V and Swanson, NR (2006) Bootstrap conditional distribution tests in the presence of dynamic misspecification Journal of Econometrics, 133 (2). pp. 779-806.

Full text not available from this repository.

Abstract

In this paper, we show the first order validity of the block bootstrap for Kolmogorov-type conditional distribution tests under dynamic misspecification and parameter estimation error. Our approach is unique because we construct statistics that allow for dynamic misspecification under both hypotheses. We consider two tests; the CK test of Andrews [1997. A conditional Kolmogorov test, Econometrica 65, 1097-1128], and a version of the DGT test of Diebold, Gunther and Tay [1998a. Evaluating density forecasts with applications to finance and management. International Economic Review 39, 863-883]. Test limiting distributions are Gaussian processes with covariance kernels that reflect dynamic misspecification and parameter estimation error. Critical values are based on an extension of the empirical process version of the block bootstrap to the case of nonvanishing parameter estimation error. Monte Carlo experiments are also carried out. © 2005 Elsevier B.V. All rights reserved.

Item Type: Article
Authors :
NameEmailORCID
Corradi, Vv.corradi@surrey.ac.ukUNSPECIFIED
Swanson, NRUNSPECIFIEDUNSPECIFIED
Date : 1 August 2006
Identification Number : https://doi.org/10.1016/j.jeconom.2005.06.013
Depositing User : Symplectic Elements
Date Deposited : 16 May 2017 15:27
Last Modified : 17 May 2017 14:35
URI: http://epubs.surrey.ac.uk/id/eprint/819757

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800