Online Submissions
Online Access
Order PDFs
Subscribe/Renew
Nobel Laureates

Dynamic R&D Competition with Learning


Volume: Volume 28, No. 4

Issue: Winter 1997

Pages: pp. 751-772

Authors: David A. Malueg and Shunichi O. Tsutsui

Title: Dynamic R&D Competition with Learning

Abstract: To account for the possibility that firms are unsure about the ease of innovation, we formulate a differential game of R&D competition with an unknown hazard rate. We show, as time passes with success, firms become more pessimistic about eventual innovation, reducing their R&D investment and possibly exiting the race. An increase in the number of competing firms tends to increase firms' R&D intensities, for given beliefs, but because beliefs evolve at different rates depending on the number of firms in the race, time paths of R&D investment intensity are not unambiguously ordered with respect to the number of competing firms.


JEL Classification

Management of Technological Innovation and R&D (O320)
Search, Learning, and Information (D830)
Research and Development (6212)
Theory of Uncertainty and Information (0261)