• Media type: E-Book
  • Title: Dynamic Signaling with Stochastic Stakes
  • Contributor: Gryglewicz, Sebastian [Author]; Kolb, Aaron [Author]
  • Published: [S.l.]: SSRN, [2021]
  • Extent: 1 Online-Ressource (24 p)
  • Language: English
  • DOI: 10.2139/ssrn.3750146
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments May 11, 2021 erstellt
  • Description: We study dynamic signaling in a game of stochastic stakes. Each period, a privately informed agent of binary type chooses whether to continue receiving a return that is an increasing function of both her reputation and an exogenous public stakes variable or to irreversibly exit the game. A strong type has a dominant strategy to continue. In the unique perfect Bayesian equilibrium, the weak type plays a mixed strategy that depends only on current stakes and their historical minimum, and she builds a reputation by continuing when the stakes reach a new minimum. We discuss applications to corporate reputation management, online vendor reputation, and limit pricing with stochastic demand
  • Access State: Open Access