Hostname: page-component-7b7567c8c-tnzcf Total loading time: 0 Render date: 2026-11-12T10:17:46.082Z Has data issue: false hasContentIssue false

FEVD: Just IV or Just Mistaken?

Published online by Cambridge University Press:  04 January 2017

Trevor Breusch*
Affiliation:
Crawford School of Economics and Government, The Australian National University, Canberra, ACT 0200, Australia
Michael B. Ward
Affiliation:
Crawford School of Economics and Government, The Australian National University, Canberra, ACT 0200, Australia e-mail: michael.ward@anu.edu.au
Hoa Thi Minh Nguyen
Affiliation:
Crawford School of Economics and Government, The Australian National University, Canberra, ACT 0200, Australia e-mail: hoa.nguyen@anu.edu.au
Tom Kompas
Affiliation:
Crawford School of Economics and Government, The Australian National University, Canberra, ACT 0200, Australia e-mail: tom.kompas@anu.edu.au
*
e-mail: trevor.breusch@anu.edu.au (corresponding author)
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

Fixed effects vector decomposition (FEVD) is simply an instrumental variables (IV) estimator with a particular choice of instruments and a special case of the well-known Hausman-Taylor IV procedure. Plümper and Troeger (PT) now acknowledge this point and disown the three-stage procedure that previously defined FEVD. Their old recipe for SEs, which has regrettably been used in dozens of published research papers, produces dramatic overconfidence in the estimates. Again PT concede the point and now adopt the standard IV formula for SEs. Knowing that FEVD is an application of IV also has the benefit of focusing attention on the choice of instruments. Now it seems PT claim that the FEVD instruments are always the best choice, on the grounds that one cannot know whether any potential instrument is correlated with the unit effect. One could just as readily make the same specious claim about other estimators, such as ordinary least squares, and support it with similar Monte Carlo assumptions and evidence.

Information

Type
Symposium on Fixed-Effects Vector Decomposition
Copyright
Copyright © The Author 2011. Published by Oxford University Press on behalf of the Society for Political Methodology