This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

The Organizational Design of Intelligence Failures

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Michael McKee

Additional information is available for the following registered author(s):

Abstract

While the detection, and prevention, of the September 11, 2001 plot would have been ideal, I argue that the more major intelligence failures occurred after the attacks of September 11. The erroneous intelligence concerning the WMD presence in Iraq permitted the Bush Administration to order the invasion of Iraq. Systematic underestimates of the budgetary costs and personnel requirements of the war meant that Congress did not give the matter the debate that it warranted. Finally, incorrect (or incomplete) intelligence concerning the extent of the informal opposition to the U.S. led forces resulted in inadequate numbers of allied forces being deployed and a protracted period of conflict and disruption in Iraq. These facts are all well known to anyone who reads newspapers. I make three arguments in this paper. First, the collection of the intelligence data and its evaluation does not occur in a vacuum. There must always be an organizing theory that motivates the collection and evaluation of the data and that this theory is formulated at the highest levels of the decision making process. Second, it is not possible to construct a truly neutral or objective (analytical) hierarchy. Third, it is impossible to separate the analytical evaluation of the data from the decision that will be based on such evaluation. As an inevitable consequence of these arguments, intelligence analysis and the resulting conclusions are driven by top-down considerations rather than bottom-up as has been argued by some reviewers of recent intelligence failures. Key Words: stable coalitions, self-enforcing agreements, compliance, enforcement, public goods

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://econ.appstate.edu/RePEc/pdf/wp0811.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Department of Economics, Appalachian State University in its series Working Papers with number 08-11.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 2008
Date of revision:
Handle: RePEc:apl:wpaper:08-11

Contact details of provider:
Postal: Thelma C. Raley Hall, Boone, North Carolina 28608
Phone: 828-262-2148
Fax: 828-262-6105
Web page: http://www.business.appstate.edu/departments/economics/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (John Whitehead).

Related research
Keywords:

Find related papers by JEL classification:
D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information
D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? The yearly budget of IDEAS is exactly $0: it relies entirely on volunteer work.

This page was last updated on 2009-11-14.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.