Model selection for explosive models
This paper examines the limit properties of information criteria for distinguishing between the unit root model and the various kinds of explosive models. The information criteria include AIC, BIC, HQIC. The explosive models include the local-to-unit-root model, the mildly explosive model and the re...
Saved in:
Main Authors: | TAO, Yubo, Jun YU |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2016
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/soe_research/1801 https://ink.library.smu.edu.sg/context/soe_research/article/2800/viewcontent/P_ID_52783_06_2016.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Model selection for explosive models
by: TAO, Yubo, et al.
Published: (2020) -
Unit Root Model Selection
by: PHILLIPS, Peter C. B.
Published: (2008) -
Specification sensitivity in right‐tailed unit root testing for explosive behaviour
by: PHILLIPS, Peter C. B., et al.
Published: (2014) -
Mildly explosive autoregression with anti-persistent errors
by: LUI, Yui Lim, et al.
Published: (2021) -
Mild-explosive and local-to-mild-explosive autoregressions with serially correlated errors
by: LUI, Yiu Lim, et al.
Published: (2018)