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Merger Analysis and the Treatment of Uncertainty: Should We Expect Better?
Howard A. Shelanski, University of California, Berkeley
Michael L. Katz, Haas School of Business, UC Berkeley
ABSTRACT: Life is uncertain. So is merger analysis. There is a well-developed set of tools to deal with decision making under uncertainty. Experience suggests that the federal antitrust agencies and the courts have yet to take full advantage of those tools. This chapter suggests ways that decision theory could be applied to merger analysis to improve enforcement and its impacts on consumer welfare.
SUGGESTED CITATION: Howard A. Shelanski and Michael L. Katz,
"Merger Analysis and the Treatment of Uncertainty: Should We Expect Better?"
(October 19, 2005).
Berkeley Program in Law & Economics, Working Paper Series.
Paper 178.
http://repositories.cdlib.org/blewp/art178
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