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Innovation, Knowledge Diffusion, and Selection

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  • Danial Lashkari

    (Yale University)

Abstract

This paper constructs a theory of industry growth through innovation and selection-driven creative destruction. Firms’ ideas determine their productivity and stochastically evolve over time. Firms innovate to improve their ideas and endogenously exit if unsuccessful. Entrants adopt the ideas of incumbents. In this model, when better ideas are innovated or adopted, they selectively replace worse ideas. Innovation externalities vary based on firm productivity: ideas generated by more productive firms create 1) longer-lasting positive externalities due to knowledge diffusion and 2) stronger negative externalities due to dynamic displacement of other firms. Therefore, the net external effect of innovation on aggregate productivity is heterogeneous and market equilibrium misallocates investments across firms. The solution to the social planner's problem suggests that optimal innovation policy instruments should depend on firm productivity. Quantitatively, the misallocations are large when the model is calibrated to firm-level data from US manufacturing and retail trade, and imply first-order considerations for the design of innovation policy.

Suggested Citation

  • Danial Lashkari, 2018. "Innovation, Knowledge Diffusion, and Selection," 2018 Meeting Papers 337, Society for Economic Dynamics.
    • Handle: RePEc:red:sed018:337
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    Cited by:

    1. Jess Benhabib & Jesse Perla & Christopher Tonetti, 2021. "Reconciling Models of Diffusion and Innovation: A Theory of the Productivity Distribution and Technology Frontier," Econometrica, Econometric Society, vol. 89(5), pages 2261-2301, September.

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