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Post-merger price dynamics matter, so why do merger retrospectives ignore them?

Franco Mariuzzo and Peter Ormosi
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Franco Mariuzzo: Centre for Competition Policy and School of Economics, University of East Anglia
Peter Ormosi: Centre for Competition Policy and Norwich Business School, University of East Anglia

No 2016-05, Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) from Centre for Competition Policy, University of East Anglia, Norwich, UK.

Abstract: The price effect of past mergers has been extensively researched over the last two decades. The overwhelming majority of these studies pool post-merger data to estimate the average price effect of a merger. Merger guidelines agree that mergers should be approved if market dynamics, such as entry, eliminate negative welfare effects. However, pooled post-merger data ignore key information about price dynamics and are unable to identify if post-merger prices eventually revert to pre-merger levels or drift away. We provide evidence, from a meta-analysis of previous works, and a set of Monte Carlo experiments, on how serious this problem is. Finally, we show the conditions where pooled data studies make an erroneous conclusion about the merger.

Keywords: mergers; merger retrospectives; meta study; Monte Carlo simulation (search for similar items in EconPapers)
JEL-codes: C51 K21 L49 (search for similar items in EconPapers)
Date: 2017-11-24
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