Logo
Munich Personal RePEc Archive

R&D incentives with uncertain probability of success

Chatterjee, Rittwik and Chattopadhyay, Srobonti and Kabiraj, Tarun (2020): R&D incentives with uncertain probability of success.

[thumbnail of MPRA_paper_98474.pdf]
Preview
PDF
MPRA_paper_98474.pdf

Download (152kB) | Preview

Abstract

A firm’s decision to invest in R&D depends on a number of factors like availability of funds, extent of R&D spillovers, market structure, and success probability. However, probability of success depends, to a large extent, on factors endogenous to a firm. This means, success probability can be known to the firm undertaking R&D investment, not to the rivals, hence there is incomplete information about probability of success in R&D. There are also uncertainties about rival’s R&D decision and R&D status. In a duopoly we show that there is a non-monotone relation between R&D incentives and the level of information.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.