The probabilities of type I and II error of null of cointegration tests: A Monte Carlo comparison

This paper evaluates the performance of eight tests with null hypothesis of cointegration on basis of probabilities of type I and II errors using Monte Carlo simulations. This study uses a variety of 132 different data generations covering three cases of deterministic part and four sample sizes. The...

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Main Authors: Ahmet Faruk Aysan, Ibrahim Guney, Nicoleta Isac, Asad ul Islam Khan
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8726486/?tool=EBI
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author Ahmet Faruk Aysan
Ibrahim Guney
Nicoleta Isac
Asad ul Islam Khan
author_facet Ahmet Faruk Aysan
Ibrahim Guney
Nicoleta Isac
Asad ul Islam Khan
author_sort Ahmet Faruk Aysan
collection DOAJ
description This paper evaluates the performance of eight tests with null hypothesis of cointegration on basis of probabilities of type I and II errors using Monte Carlo simulations. This study uses a variety of 132 different data generations covering three cases of deterministic part and four sample sizes. The three cases of deterministic part considered are: absence of both intercept and linear time trend, presence of only the intercept and presence of both the intercept and linear time trend. It is found that all of tests have either larger or smaller probabilities of type I error and concluded that tests face either problems of over rejection or under rejection, when asymptotic critical values are used. It is also concluded that use of simulated critical values leads to controlled probability of type I error. So, the use of asymptotic critical values may be avoided, and the use of simulated critical values is highly recommended. It is found and concluded that the simple LM test based on KPSS statistic performs better than rest for all specifications of deterministic part and sample sizes.
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spelling doaj.art-eb98ecb50e114975873d3ef75713cff32022-12-21T16:35:02ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01171The probabilities of type I and II error of null of cointegration tests: A Monte Carlo comparisonAhmet Faruk AysanIbrahim GuneyNicoleta IsacAsad ul Islam KhanThis paper evaluates the performance of eight tests with null hypothesis of cointegration on basis of probabilities of type I and II errors using Monte Carlo simulations. This study uses a variety of 132 different data generations covering three cases of deterministic part and four sample sizes. The three cases of deterministic part considered are: absence of both intercept and linear time trend, presence of only the intercept and presence of both the intercept and linear time trend. It is found that all of tests have either larger or smaller probabilities of type I error and concluded that tests face either problems of over rejection or under rejection, when asymptotic critical values are used. It is also concluded that use of simulated critical values leads to controlled probability of type I error. So, the use of asymptotic critical values may be avoided, and the use of simulated critical values is highly recommended. It is found and concluded that the simple LM test based on KPSS statistic performs better than rest for all specifications of deterministic part and sample sizes.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8726486/?tool=EBI
spellingShingle Ahmet Faruk Aysan
Ibrahim Guney
Nicoleta Isac
Asad ul Islam Khan
The probabilities of type I and II error of null of cointegration tests: A Monte Carlo comparison
PLoS ONE
title The probabilities of type I and II error of null of cointegration tests: A Monte Carlo comparison
title_full The probabilities of type I and II error of null of cointegration tests: A Monte Carlo comparison
title_fullStr The probabilities of type I and II error of null of cointegration tests: A Monte Carlo comparison
title_full_unstemmed The probabilities of type I and II error of null of cointegration tests: A Monte Carlo comparison
title_short The probabilities of type I and II error of null of cointegration tests: A Monte Carlo comparison
title_sort probabilities of type i and ii error of null of cointegration tests a monte carlo comparison
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8726486/?tool=EBI
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