Can the LR test be helpful in choosing the optimal lag order in the VAR model when information criteria suggest different lag orders?
(2009) In Applied Economics 41(9). p.1121-1125- Abstract
- The objective of this simulation study is to investigate whether the likelihood ratio (LR) test can pick the optimal lag order in the vector autoregressive model when the most applied information criteria (i.e. vector Schwarz-Bayesian, SBC and vector Hannan-Quinn, HQC) suggest two different lag orders. This lag-choosing procedure has been suggested by Hatemi-J (1999). The results based on the Monte Carlo simulations show that combining the LR test with SBC and HQC causes a substantial increase in the success rate of choosing the optimal lag order compared to cases when only SBC or HQC are used. This appears to be the case irrespective of homoscedasticity or conditional heteroscedasticity properties of the error-term in small sample sizes.... (More)
- The objective of this simulation study is to investigate whether the likelihood ratio (LR) test can pick the optimal lag order in the vector autoregressive model when the most applied information criteria (i.e. vector Schwarz-Bayesian, SBC and vector Hannan-Quinn, HQC) suggest two different lag orders. This lag-choosing procedure has been suggested by Hatemi-J (1999). The results based on the Monte Carlo simulations show that combining the LR test with SBC and HQC causes a substantial increase in the success rate of choosing the optimal lag order compared to cases when only SBC or HQC are used. This appears to be the case irrespective of homoscedasticity or conditional heteroscedasticity properties of the error-term in small sample sizes. This improvement in choosing the right lag order also tends to improve the forecasting capability of the underlying model. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1400779
- author
- Hatemi-J, Abdulnasser LU and Hacker, R. S.
- organization
- publishing date
- 2009
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Applied Economics
- volume
- 41
- issue
- 9
- pages
- 1121 - 1125
- publisher
- Routledge
- external identifiers
-
- wos:000264750000005
- scopus:67650287973
- ISSN
- 1466-4283
- DOI
- 10.1080/00036840601019273
- language
- English
- LU publication?
- yes
- id
- dfc46d35-e506-47ed-bbd5-aeeeca1c7462 (old id 1400779)
- date added to LUP
- 2016-04-01 12:04:19
- date last changed
- 2022-03-05 18:33:09
@article{dfc46d35-e506-47ed-bbd5-aeeeca1c7462,
abstract = {{The objective of this simulation study is to investigate whether the likelihood ratio (LR) test can pick the optimal lag order in the vector autoregressive model when the most applied information criteria (i.e. vector Schwarz-Bayesian, SBC and vector Hannan-Quinn, HQC) suggest two different lag orders. This lag-choosing procedure has been suggested by Hatemi-J (1999). The results based on the Monte Carlo simulations show that combining the LR test with SBC and HQC causes a substantial increase in the success rate of choosing the optimal lag order compared to cases when only SBC or HQC are used. This appears to be the case irrespective of homoscedasticity or conditional heteroscedasticity properties of the error-term in small sample sizes. This improvement in choosing the right lag order also tends to improve the forecasting capability of the underlying model.}},
author = {{Hatemi-J, Abdulnasser and Hacker, R. S.}},
issn = {{1466-4283}},
language = {{eng}},
number = {{9}},
pages = {{1121--1125}},
publisher = {{Routledge}},
series = {{Applied Economics}},
title = {{Can the LR test be helpful in choosing the optimal lag order in the VAR model when information criteria suggest different lag orders?}},
url = {{http://dx.doi.org/10.1080/00036840601019273}},
doi = {{10.1080/00036840601019273}},
volume = {{41}},
year = {{2009}},
}