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Managing Expectations


René Lindstädt


University of Essex - Department of Government

Jeffrey K. Staton


Department of Political Science - Emory University

September 20, 2010


Abstract:     
Followers of law, politics and business commonly relate stories of individuals who appear to predict an expected self-performance level below what they believe likely. Candidates, attorneys and firms sometimes seem to under-predict their own capacities. Insofar as individuals typically construct images of high quality, why do they sometimes do the opposite? The standard explanation is that they are trying to hedge against negative consequences of unanticipated failures and take advantage of unexpected successes. Taken to its logical extreme, the argument suggests that individuals should always manage expectations downward. Quite obviously people do not always undersell their abilities. They often accurately evaluate their own capacities. And of course, some people appear to report quality above what they believe to be true. We develop a model of strategic communication designed to explain this variance. The model suggests empirical implications that may be tested across a number of political, legal and business contexts.

Number of Pages in PDF File: 41

Keywords: Campaigns, Judicial Politics, Public Policy, Political Communication, Expectations, Game Theory, Institutions

JEL Classification: C7, C72, D7, D72, D78, D8, D82, D83, D84, K4, K41

working papers series


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Date posted: April 23, 2007 ; Last revised: September 22, 2010

Suggested Citation

Lindstädt, René and Staton, Jeffrey K. K., Managing Expectations (September 20, 2010). Available at SSRN: http://ssrn.com/abstract=1294913 or http://dx.doi.org/10.2139/ssrn.1294913

Contact Information

Rene Lindstaedt (Contact Author)
University of Essex - Department of Government ( email )
Wivenhoe Park
Colchester CO4 3SQ, CO4 3SQ
United Kingdom
Jeffrey K. Staton
Department of Political Science - Emory University ( email )
Atlanta, GA 30322
United States
404-727-6559 (Phone)
404-727-4586 (Fax)
Feedback to SSRN (Beta)


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