A Dynamic Model of Predation

Working Paper: CEPR ID: DP17428

Authors: Yossi Spiegel; Patrick Rey; Konrad O. Stahl

Abstract: We study the feasibility and profitability of predation in a parsimonious infinite-horizon, complete information setting where an incumbent may face an entrant, in which case it needs to decide whether to accommodate orpredate it. If the entrant exits, a new entrant is born with positive probability. We show that there always exists a Markov perfect equilibrium, which can be of three types: accommodation, predation with no future entry, and predation with hit-and-run entry. We use the model to study alternative antitrust policies, derive the best rules for these policies, and compare their welfare effects.

Keywords: predation; accommodation; entry; legal rules; markov perfect equilibrium

JEL Codes: D43; L41


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
Incumbent's expectations about future entrants (D84)Incumbent's predatory behavior (G34)
Incumbent's predatory behavior (G34)Entrant's behavior (entry or exit) (D16)
Predation (Q57)Monopolization equilibrium (D42)
Cost-benefit analysis of predation (D61)Incumbent's strategic decisions (D79)
Incumbent's strategy (predation vs. accommodation) (D79)Entrant's behavior (entry or exit) (D16)
Aggressive pricing (D49)Monopolistic behavior (L12)
Aggressive pricing (D49)Consumer benefits in the short term (D16)

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