Bootstrapping the Breusch-Godfrey autocorrelation test for a single equation dynamic model: Bootstrapping the Restricted vs. Unrestricted model

Verfasser / Beitragende:
[Panagiotis Mantalos]
Ort, Verlag, Jahr:
2003
Enthalten in:
Monte Carlo Methods and Applications, 9/3(2003-09-01), 257-269
Format:
Artikel (online)
ID: 37886694X
LEADER caa a22 4500
001 37886694X
003 CHVBK
005 20180305123400.0
007 cr unu---uuuuu
008 161128e20030901xx s 000 0 eng
024 7 0 |a 10.1515/156939603322729012  |2 doi 
035 |a (NATIONALLICENCE)gruyter-10.1515/156939603322729012 
100 1 |a Mantalos  |D Panagiotis  |u Department of Health, Science, and Mathematics, Blekinge Institute of Technology, Sweden. 
245 1 0 |a Bootstrapping the Breusch-Godfrey autocorrelation test for a single equation dynamic model: Bootstrapping the Restricted vs. Unrestricted model  |h [Elektronische Daten]  |c [Panagiotis Mantalos] 
520 3 |a We use Monte Carlo methods to study the properties of the bootstrap Breusch-Godfrey test for autocorrelated errors in two versions a) by bootstrapping under the null hypothesis, restricted and b) by bootstrapping under the alternative hypothesis, unrestricted. We use the residual bootstrap for the bootstrap-BG test. Our analysis regarding the size of the test reveals that both bootstrap tests have actual sizes that lie close to the nominal size, with the restricted being better. Regarding the power of the test we find that with bootstrapping under the alternative hypothesis, the unrestricted bootstrap test has the greater power in small samples. 
540 |a Copyright 2003, Walter de Gruyter 
690 7 |a Autocorrelation  |2 nationallicence 
690 7 |a Bootstrap  |2 nationallicence 
690 7 |a Breusch-Godfrey test method  |2 nationallicence 
773 0 |t Monte Carlo Methods and Applications  |d Walter de Gruyter  |g 9/3(2003-09-01), 257-269  |x 0929-9629  |q 9:3<257  |1 2003  |2 9  |o mcma 
856 4 0 |u https://doi.org/10.1515/156939603322729012  |q text/html  |z Onlinezugriff via DOI 
908 |D 1  |a research article  |2 jats 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1515/156939603322729012  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 100  |E 1-  |a Mantalos  |D Panagiotis  |u Department of Health, Science, and Mathematics, Blekinge Institute of Technology, Sweden 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Monte Carlo Methods and Applications  |d Walter de Gruyter  |g 9/3(2003-09-01), 257-269  |x 0929-9629  |q 9:3<257  |1 2003  |2 9  |o mcma 
900 7 |b CC0  |u http://creativecommons.org/publicdomain/zero/1.0  |2 nationallicence 
898 |a BK010053  |b XK010053  |c XK010000 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-gruyter