Reducing Government Spending With Privatization Competitions: A Study Of The Department Of Defense Experience
Christopher Snyder,
Robert Trost () and
R. Derek Trunkey
The Review of Economics and Statistics, 2001, vol. 83, issue 1, 108-117
Abstract:
In a privatization competition, private contractors bid against an in-house team to perform a governmental function that is currently performed by the in-house team. The Department of Defense initiated 3,500 privatization competitions from 1978 to 1994, generating estimated annual savings of $1.46 billion. We estimate a reduced-form model of the savings from these competitions that takes into account the premature cancellation of some competitions and the censoring of the in-house bid at current cost. The Department of Defense maintains a list of candidates for future privatization competitions. Using our model, we forecast annual savings of $5.74 billion if privatization competitions were completed for all functions on this list. 2000 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology
Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.mitpressjournals.org/doi/pdf/10.1162/003465301750160081 (application/pdf)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:tpr:restat:v:83:y:2001:i:1:p:108-117
Ordering information: This journal article can be ordered from
https://mitpressjour ... rnal/?issn=0034-6535
Access Statistics for this article
The Review of Economics and Statistics is currently edited by Pierre Azoulay, Olivier Coibion, Will Dobbie, Raymond Fisman, Benjamin R. Handel, Brian A. Jacob, Kareen Rozen, Xiaoxia Shi, Tavneet Suri and Yi Xu
More articles in The Review of Economics and Statistics from MIT Press
Bibliographic data for series maintained by The MIT Press ().