The economics of predation: What drives pricing when there is learning-by-doing

David Besanko, Ulrich Doraszelski, Yaroslav Kryukov

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

We formally characterize predatory pricing in a modern industrydynamics framework that endogenizes competitive advantage and industry structure. As an illustrative example we focus on learningby- 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 predationlike behavior. Along with the predation-like behavior, however, a fair amount of competition for the market is eliminated. (JEL D21, D43, D83, K21, L13, L41).

Original languageEnglish (US)
Pages (from-to)868-897
Number of pages30
JournalAmerican Economic Review
Volume104
Issue number3
DOIs
StatePublished - Mar 2014

ASJC Scopus subject areas

  • Economics and Econometrics

Fingerprint

Dive into the research topics of 'The economics of predation: What drives pricing when there is learning-by-doing'. Together they form a unique fingerprint.

Cite this