Identifying latent grouped patterns in cointegrated panels
We consider a panel cointegration model with latent group structures that allows for heterogeneous long-run relationships across groups. We extend Su, Shi, and Phillips’ (2016) classifier-Lasso (C-Lasso) method to the nonstationary panels and allow for the presence of endogeneity in both the station...
Saved in:
Main Authors: | HUANG, Wenxin, JIN, Sainan, SU, Liangjun |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2018
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/soe_research/2229 https://ink.library.smu.edu.sg/context/soe_research/article/3228/viewcontent/20181120_group_ppp_.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Identifying latent grouped patterns in cointegrated panels
by: HUANG, Wenxin, et al.
Published: (2020) -
Identifying latent grouped patterns in conintegrated panels
by: HUANG, Wenxin, et al.
Published: (2020) -
Determining the number of groups in latent panel structures with an application to income and democracy
by: LU, Xun, et al.
Published: (2017) -
Nonstationary panel models with latent group structures and cross-section dependence
by: HUANG, Wenxin, et al.
Published: (2019) -
Identifying latent structures in panel data
by: SU, Liangjun, et al.
Published: (2016)