We study how endogenous innovation and technology diffusion interact to determine the shape of the productivity distribution and generate aggregate growth. We model firms that choose to innovate, adopt technology, or produce with their existing technology. Costly adoption creates a spread between the best and worst technologies concurrently used to produce similar goods. The balance of adoption and innovation determines the shape of the distribution; innovation stretches the distribution, while adoption compresses it. On the balanced growth path, the aggregate growth rate equals the maximum growth rate of innovators. While innovation drives long‐run growth, changes in the adoption environment can influence growth by affecting innovation incentives, either directly, through licensing of excludable technologies, or indirectly, via the option value of adoption.
MLA
Benhabib, Jess, et al. “Reconciling Models of Diffusion and Innovation: A Theory of the Productivity Distribution and Technology Frontier.” Econometrica, vol. 89, .no 5, Econometric Society, 2021, pp. 2261-2301, https://doi.org/10.3982/ECTA15020
Chicago
Benhabib, Jess, Jesse Perla, and Christopher Tonetti. “Reconciling Models of Diffusion and Innovation: A Theory of the Productivity Distribution and Technology Frontier.” Econometrica, 89, .no 5, (Econometric Society: 2021), 2261-2301. https://doi.org/10.3982/ECTA15020
APA
Benhabib, J., Perla, J., & Tonetti, C. (2021). Reconciling Models of Diffusion and Innovation: A Theory of the Productivity Distribution and Technology Frontier. Econometrica, 89(5), 2261-2301. https://doi.org/10.3982/ECTA15020
By clicking the "Accept" button or continuing to browse our site, you agree to first-party and session-only cookies being stored on your device. Cookies are used to optimize your experience and anonymously analyze website performance and traffic.