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Learning and Collusion in New Markets with Uncertain Entry Costs

Francis Bloch, Simona Fabrizi () and Steffen Lippert

Working Papers from HAL

Abstract: This paper analyzes an entry timing game with uncertain entry costs. Two firms receive costless signals about the cost of a new project and decide when to invest. We characterize the equilibrium of the investment timing game with private and public signals. We show that competition leads the two firms to invest too early and analyze collusion schemes whereby one firm prevents the other firm from entering the market. We show that, in the efficient collusion scheme, the active firm must transfer a large part of the surplus to the inactive firm in order to limit preemption.

Keywords: Learning; Preemption; Innovation; New Markets; Project Selection; Entry Costs; Collusion; Private Information; Market Uncertainty (search for similar items in EconPapers)
Date: 2011-11-08
New Economics Papers: this item is included in nep-bec, nep-com, nep-cta, nep-ent, nep-exp, nep-gth, nep-ind, nep-ino, nep-mic, nep-mst and nep-ppm
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Related works:
Journal Article: Learning and collusion in new markets with uncertain entry costs (2015) Downloads
Working Paper: Learning and collusion in new markets with uncertain entry costs (2014)
Working Paper: Learning and collusion in new markets with uncertain entry costs (2014)
Working Paper: Learning and collusion in new markets with uncertain entry costs (2014)
Working Paper: Learning and collusion in new markets with uncertain entry costs (2014)
Working Paper: Learning and Collusion in New Markets with Uncertain Entry Costs (2011) Downloads
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