Multicollinearity and Model Misspecification
Multicollinearity in linear regression is typically thought of as a problem of large standard errors due to near-linear dependencies among independent variables. This problem can be solved by more informative data, possibly in the form of a larger sample. We argue that this understanding of multicol...
| Auteurs principaux: | , |
|---|---|
| Format: | Article |
| Langue: | English |
| Publié: |
Society for Sociological Science
2016-07-01
|
| Collection: | Sociological Science |
| Sujets: | |
| Accès en ligne: | https://www.sociologicalscience.com/articles-v3-27-627/ |