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This paper proposes a new algorithm with which to identify the potential effect of mergers by comparing the outcomes of interest in areas of overlap for the merging parties vis-Ã -vis areas of no overlap within a difference-in-differences estimation framework. Utilizing our proposed algorithm enables researchers and policymakers to perform retrospective merger evaluation studies that look at the effects of mergers on both price and non-price aspects. We demonstrate the applicability and value of our proposed methodology by examining the effects on price and product variety of four mergers of the late 1980s and the 1990s on the U.K. car market.
Christos Genakos, Andreas Lamprinidis and James Walker
1 June 2023 Paper Number POIDWP074
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