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Can LR Test Be Helpful in Choosing the Optimal Lag order in the VAR Model When Information Criteria Suggest Different Lag Orders?
[journal article]
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 ord... view 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.... view less
Document language
English
Publication Year
2009
Page/Pages
p. 1121-1125
Journal
Applied Economics, 41 (2009) 9
DOI
https://doi.org/10.1080/00036840601019273
Status
Postprint; peer reviewed
Licence
PEER Licence Agreement (applicable only to documents from PEER project)