Data · dataset · 2011
Replication data for: "Fixed Effects Vector Decomposition: Properties, Reliability and Instruments"
Listed in Harvard Dataverse
Description
This article reinforces our 2007 Political Analysis publication in demonstrating that the fixed effects vector decomposition (FEVD) procedure outperforms any other estimator in estimating models which suffer from the simultaneous presence of time-varying variables correlated with unobserved unit effects and time-invariant variables. We compare the finite sample properties of FEVD not only to the Hausman-Taylor (HT) estimator but also to the pretest estimator and the shrinkage estimator suggested by Breusch et al. (BWNK) in this symposium.
Moreover, we correct Greene’s and BWNK’s discussion of FEVD’s asymptotic and finite sample properties.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.7910%2FDVN%2FZFGUY0 ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.7910/dvn/zfguy0 ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.7910%2FDVN%2… ↗
metadata API · from Harvard Dataverse
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.7910/DVN/ZFGUY0 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| version_label | source · Harvard Dataverse | connector:dataverse@1.0.0 |