Joakim Westerlund
Professor, Programchef - Magisterprogram i Dataanalys och ekonomi
Asymptotic Collinearity in CCE Estimation of Interactive Effects Models
Författare
Summary, in English
Researchers sometime fall into the dummy variable trap. A typical scenario in panel data is when wanting to estimate the effect of a regressor that is time invariant, such as sex or race, and accidentally including cross-section specific fixed effects. The problem here is that the fixed effects and the regressor are collinear, which causes the resulting pooled least squares estimator to break down. In interactive effects models such breakdowns can occur even if the regressors are not time invariant. The reason is that the interactive effects are flexible enough to generate a wide range of behaviours that are likely to be shared by the regressors. The current paper considers the challenging case when some of the regressors are asymptotically collinear with the interactive effects. The relevant asymptotic theory is developed and tested in small samples using both simulated and real data.
Avdelning/ar
- Nationalekonomiska institutionen
Publiceringsår
2018
Språk
Engelska
Sidor
331-337
Publikation/Tidskrift/Serie
Economic Modelling
Volym
70
Dokumenttyp
Artikel i tidskrift
Förlag
Elsevier
Ämne
- Economics
Nyckelord
- CCE estimation
- Interactive effects
- Asymptotic collinearity
- Singular signal matrix
- C12
- C13
- C33
- C36
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 0264-9993