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A Sieve Bootstrap Test for Cointegration in a Conditional Error Correction Model. METEOR Research Memorandum 07054

Title: A Sieve Bootstrap Test for Cointegration in a Conditional Error Correction Model. METEOR Research Memorandum 07054
Authors: Franz C. Palm; Stephan Smeekes; Jean-pierre Urbain; Jel Code C
Contributors: The Pennsylvania State University CiteSeerX Archives
Source: http://arno.unimaas.nl/show.cgi?fid=9436.
Publication Year: 2007
Collection: CiteSeerX
Subject Terms: sieve bootstrap; cointegration; error correction model
Description: In this paper we propose a bootstrap version of the Wald test for cointegration in a single-equation conditional error correction model. The multivariate sieve bootstrap is used to deal with dependence in the series. We show that the introduced bootstrap test is asymptotically valid. We also analyze the small sample properties of our test by simulation and compare it with the asymptotic test and several alternative bootstrap tests. The bootstrap test offers significant improvements in terms of size properties over the asymptotic test, while having similar power properties. It also performs at least as well as the alternative bootstrap tests considered in terms of size and power. The sensitivity of the bootstrap test to the allowance for deterministic components is also investigated. Simulation results show that the tests with sufficient deterministic components included are insensitive to the true value of the trends in the model, and retain correct size.
Document Type: text
Language: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.564.7583; http://arno.unimaas.nl/show.cgi?fid=9436
Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.564.7583; http://arno.unimaas.nl/show.cgi?fid=9436
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number: edsbas.D529B04E
Database: BASE