Big Tech Acquisitions

Working Paper: CEPR ID: DP18272

Authors: Luis Cabral

Abstract: I develop and calibrate a game of startup innovation, incumbent acquisition and merger review, with a focus on industries with uncertainty about the nature of the entrant (complementor or substitute with respect to the incumbent). I estimate that moving from balance of probabilities (the current US and EU system) to balance of harms (proposed for, though not adopted, in the UK) leads to a 15% welfare increase. A complete ban on mergers, in turn, would imply a 35% welfare decrease. No enforcement at all is not significantly different from balance of probabilities. Finally, committing to a more lenient standard than balance of harms increases welfare: under balance of harms, about 25% of all mergers would be blocked, whereas the optimal threshold would lead to only 15% of all mergers being blocked, which in turn would imply an additional 2% increase in welfare. The ordering of proposals is very robust to changes in key parameters. I consider some extensions of the basic framework, including reverting the burden of proof of pro-competitive effects.

Keywords: mergers; acquisitions; merger policy; digital platforms

JEL Codes: L1; L4


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
balance of probabilities (D81)balance of harms (K41)
balance of harms (K41)consumer welfare (D69)
complete ban on mergers (L41)consumer welfare (D69)
more lenient standard than balance of harms (K41)consumer welfare (D69)
merger policy (G34)innovation incentives (O31)

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