Speaker: Zhu Wang (Federal Reserve Bank of Richmond)
Time: 10:00-11:30 a.m., November 17, 2023, GMT+8
Venue: Teams Meeting ID: 429 978 548 050 (Passcode: Jx8NX8)(Link: https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZDIyODgyNjUtMWJkOS00OGUzLWExNDktMjkwY2E2YjM2Y2Rj%40thread.v2/0?context=%7b%22Tid%22%3a%22cd66712e-8aa9-44ad-9e42-02ea2d037e64%22%2c%22Oid%22%3a%22e692f7a8-e1a6-491d-a78c-2ecec31e4e0f%22%7d)
We study innovation and diffusion of technology at the industry level. We derive an industry's evolution, from birth to its maturity, and we characterize how diffusion affects the incentive to innovate. The model implies that protection of innovators should be only partial due to the matching externality in the meetings in which idea transfers take place. The model also shows that enhancing idea diffusion is socially beneficial and can generate industry overtaking patterns endogenously. We fit the model to the early experiences of the U.S. automobile and personal computer industries and quantify the theoretical predictions.
Source: Institute of New Structure Economics, PKU