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Estimating Dynamic Merger Effciencies with an Application to the 1997 Boeing-McDonnell Douglas Merger

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  • Zhao, Wei

Abstract

I evaluate the welfare effects of the 1997 merger between Boeing and McDonnell Douglas in the medium-sized, wide-bodied aircraft industry. I develop an empirical model of multi-product firms, allowing for both learning-by-doing and product innovation in a dynamic game to quantify merger efficiency. Merger efficiency from learning-by-doing is then disentangled from both the effects of innovation and market power. The results show that the primary benefits from the Boeing-McDonnell Douglas merger come from accelerated learning-by-doing. Taking account of all static and dynamic effects, net consumer surplus is found to have increased by as much as $1.57 billion. In contrast, a static model ignoring learning-by-doing and innovation predicts a consumer loss of approximately $20 billion. These results show that ignoring dynamic effects can lead to biased results and erroneous policy decisions regarding the welfare effects of proposed mergers.

Suggested Citation

  • Zhao, Wei, 2013. "Estimating Dynamic Merger Effciencies with an Application to the 1997 Boeing-McDonnell Douglas Merger," MPRA Paper 63184, University Library of Munich, Germany, revised 11 Sep 2014.
  • Handle: RePEc:pra:mprapa:63184
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    More about this item

    Keywords

    Merger Efficiency; Dynamic Oligopoly Model; Learning-by-doing; innovation; Aircraft Industry Merger;
    All these keywords.

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L40 - Industrial Organization - - Antitrust Issues and Policies - - - General
    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment

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