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Mergers Mechanisms

Author

Listed:
  • S. Viswanathan
  • S. Brusco
  • G. Lopomo

Abstract

A firm can merge with one of n potential partners. The owner of each firm has private information about both his firm's stand-alone value and a component of the synergies that would be realized by the merger involving his firm. We characterize incentive-efficient mechanisms in two cases. First, we assume that the value of any newly formed partnership is verifiable, hence transfers can be made contingent on the new information accruing after the merger. Second, we study the case of uncontingent rules. In the first case, we show that it is not optimal, in general, to redistribute shares of non-merging firms, and identify necessary and sufficient conditions for the implementability of efficient merger rules. In the second case, we show that the first-best can be obtained i) always, if the synergy values are privately known but the firms' stand-alone values are observable; ii) only with sufficiently large synergies, if the firms' stand-alone are privately known; and iii) never, if the set of feasible mechanisms is restricted to "auctions in shares"

Suggested Citation

  • S. Viswanathan & S. Brusco & G. Lopomo, 2004. "Mergers Mechanisms," Econometric Society 2004 North American Winter Meetings 317, Econometric Society.
  • Handle: RePEc:ecm:nawm04:317
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    Cited by:

    1. Albert Banal‐Estañol & Jo Seldeslachts, 2011. "Merger Failures," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 20(2), pages 589-624, June.
    2. Jehiel, Philippe & Moldovanu, Benny, 2005. "Allocative and Informational Externalities in Auctions and Related Mechanisms," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 142, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.

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    Keywords

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    JEL classification:

    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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