CCE under nonrandom heterogeneity
(2025) In Econometrics Journal 28(2). p.276-294- Abstract
In panel data regression models, it is often not reasonable to expect all cross-sectional units to have identical responses to explanatory variables, or that all relevant variables have been properly accounted for. These concerns have recently motivated the use of interactive effects models with heterogeneous slopes. The workhorse of this literature is the common correlated effects approach, which assumes that both effects and slopes are randomly distributed. The current paper argues that the restrictions implied by this assumption are likely unreasonable in many applications, and that there is a need to allow for nonrandom heterogeneity.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3a26f086-c41a-4e52-aa04-25b554958d9e
- author
- Kaddoura, Yousef LU and Westerlund, Joakim LU
- organization
- publishing date
- 2025
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- CCE, interactive effects, LASSO, random coefficient model, unobserved heterogeneity
- in
- Econometrics Journal
- volume
- 28
- issue
- 2
- pages
- 19 pages
- publisher
- Oxford University Press
- external identifiers
-
- scopus:105008099495
- ISSN
- 1368-4221
- DOI
- 10.1093/ectj/utae021
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2024 The Author(s).
- id
- 3a26f086-c41a-4e52-aa04-25b554958d9e
- date added to LUP
- 2025-12-18 14:15:00
- date last changed
- 2025-12-19 09:17:29
@article{3a26f086-c41a-4e52-aa04-25b554958d9e,
abstract = {{<p>In panel data regression models, it is often not reasonable to expect all cross-sectional units to have identical responses to explanatory variables, or that all relevant variables have been properly accounted for. These concerns have recently motivated the use of interactive effects models with heterogeneous slopes. The workhorse of this literature is the common correlated effects approach, which assumes that both effects and slopes are randomly distributed. The current paper argues that the restrictions implied by this assumption are likely unreasonable in many applications, and that there is a need to allow for nonrandom heterogeneity.</p>}},
author = {{Kaddoura, Yousef and Westerlund, Joakim}},
issn = {{1368-4221}},
keywords = {{CCE; interactive effects; LASSO; random coefficient model; unobserved heterogeneity}},
language = {{eng}},
number = {{2}},
pages = {{276--294}},
publisher = {{Oxford University Press}},
series = {{Econometrics Journal}},
title = {{CCE under nonrandom heterogeneity}},
url = {{http://dx.doi.org/10.1093/ectj/utae021}},
doi = {{10.1093/ectj/utae021}},
volume = {{28}},
year = {{2025}},
}