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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.

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Where it is published

Catalogue records · 1
Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
Harvard Dataversedoi:10.7910/DVN/ZFGUY015 d agoJSON v1
FieldAssertionExtractorEvidence
created_datesource · Harvard Dataverseconnector:dataverse@1.0.0
descriptionsource · Harvard Dataverseconnector:dataverse@1.0.0/description
publication_datesource · Harvard Dataverseconnector:dataverse@1.0.0
titlesource · Harvard Dataverseconnector:dataverse@1.0.0/name
updated_datesource · Harvard Dataverseconnector:dataverse@1.0.0
version_labelsource · Harvard Dataverseconnector:dataverse@1.0.0