Replication data for: The Economics of Predation: What Drives Pricing When There Is Learning-by-Doing?
Principal Investigator(s): View help for Principal Investigator(s) David Besanko; Ulrich Doraszelski; Yaroslav Kryukov
Version: View help for Version V1
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Project Citation:
Besanko, David, Doraszelski, Ulrich, and Kryukov, Yaroslav. Replication data for: The Economics of Predation: What Drives Pricing When There Is Learning-by-Doing? Nashville, TN: American Economic Association [publisher], 2014. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112747V1
Project Description
Summary:
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We formally characterize predatory pricing in a modern industry-dynamics framework that endogenizes competitive advantage and industry structure. As an illustrative example we focus on learning-by-doing.
To disentangle predatory pricing from mere competition for efficiency on a learning curve we decompose the equilibrium pricing condition. We show that forcing firms to ignore the predatory incentives in setting
their prices can have a large impact and that this impact stems from eliminating equilibria with predation-like behavior. Along with the predation-like behavior, however, a fair amount of competition for the market is eliminated.
Scope of Project
JEL Classification:
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D21 Firm Behavior: Theory
D43 Market Structure, Pricing, and Design: Oligopoly and Other Forms of Market Imperfection
D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
K21 Antitrust Law
L13 Oligopoly and Other Imperfect Markets
L41 Monopolization; Horizontal Anticompetitive Practices
D21 Firm Behavior: Theory
D43 Market Structure, Pricing, and Design: Oligopoly and Other Forms of Market Imperfection
D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
K21 Antitrust Law
L13 Oligopoly and Other Imperfect Markets
L41 Monopolization; Horizontal Anticompetitive Practices
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