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Technology diffusion and growth

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  • Erzo G. J. Luttmer

Abstract

Suppose firms are subject to decreasing returns and permanent idiosyncratic productivity shocks. Suppose also firms can only stay in business by continuously paying a fixed cost. New firms can enter. Firms with a history of relatively good productivity shocks tend to survive and others are forced to exit. This paper identifies assumptions about entry that guarantee a stationary firm size distribution and lead to balanced growth. The range of technology diffusion mechanisms that can be considered is greatly expanded relative to previous work. High entry costs slow down the selection process and imply slow aggregate growth. They also push the firm size distribution in the direction of Zipf's law.

Suggested Citation

  • Erzo G. J. Luttmer, 2009. "Technology diffusion and growth," Working Papers 672, Federal Reserve Bank of Minneapolis.
    • Handle: RePEc:fip:fedmwp:672
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    Cited by:

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    2. Robert E. Lucas Jr. & Benjamin Moll, 2014. "Knowledge Growth and the Allocation of Time," Journal of Political Economy, University of Chicago Press, vol. 122(1), pages 1-51.
    3. Impullitti, Giammario & Irarrazabal, Alfonso A. & Opromolla, Luca David, 2013. "A theory of entry into and exit from export markets," Journal of International Economics, Elsevier, vol. 90(1), pages 75-90.
    4. José-María Da-Rocha & Jaume Sempere, 2017. "ITQs, Firm Dynamics and Wealth Distribution: Does Full Tradability Increase Inequality?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(2), pages 249-273, October.
    5. Michael König & Kjetil Storesletten & Zheng Song & Fabrizio Zilibotti, 2022. "From Imitation to Innovation: Where Is All That Chinese R&D Going?," Econometrica, Econometric Society, vol. 90(4), pages 1615-1654, July.
    6. Kjetil Storesletten & Bo Zhao & Fabrizio Zilibotti, 2019. "Business Cycle during Structural Change: Arthur Lewis' Theory from a Neoclassical Perspective," Cowles Foundation Discussion Papers 2191, Cowles Foundation for Research in Economics, Yale University.
    7. Hugo Hopenhayn & Julian Neira & Rish Singhania, 2022. "From Population Growth to Firm Demographics: Implications for Concentration, Entrepreneurship and the Labor Share," Econometrica, Econometric Society, vol. 90(4), pages 1879-1914, July.
    8. Acemoglu, Daron & Cao, Dan, 2015. "Innovation by entrants and incumbents," Journal of Economic Theory, Elsevier, vol. 157(C), pages 255-294.
    9. Hengjie Ai & Dana Kiku & Rui Li & Jincheng Tong, 2021. "A Unified Model of Firm Dynamics with Limited Commitment and Assortative Matching," Journal of Finance, American Finance Association, vol. 76(1), pages 317-356, February.
    10. Jean Imbs & Basile Grassi, 2015. "Why Do Risky Sectors Grow Fast?," 2015 Meeting Papers 449, Society for Economic Dynamics.
    11. Erzo G.J. Luttmer, 2010. "Models of Growth and Firm Heterogeneity," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 547-576, September.
    12. Kishi, Keiichi & Okada, Keisuke, 2018. "Trade Liberalization, Technology Diffusion, and Productivity," MPRA Paper 88597, University Library of Munich, Germany.
    13. Niklas Engbom, 2018. "Firm and Worker Dynamics in an Aging Labor Market," 2018 Meeting Papers 1009, Society for Economic Dynamics.
    14. Barney Hartman‐Glaser & Hanno Lustig & Mindy Z. Xiaolan, 2019. "Capital Share Dynamics When Firms Insure Workers," Journal of Finance, American Finance Association, vol. 74(4), pages 1707-1751, August.
    15. Erzo G. J. Luttmer, 2020. "Bounded Learning from Incumbent Firms," Working Papers 771, Federal Reserve Bank of Minneapolis.
    16. Basile Grassi & Vasco Carvalho, 2015. "Firm Dynamics and the Granular Hypothesis," 2015 Meeting Papers 617, Society for Economic Dynamics.
    17. Acemoglu, Daron, 2012. "Introduction to economic growth," Journal of Economic Theory, Elsevier, vol. 147(2), pages 545-550.
    18. Ghiglino, Christian, 2012. "Random walk to innovation: Why productivity follows a power law," Journal of Economic Theory, Elsevier, vol. 147(2), pages 713-737.
    19. Alain Gabler & Markus Poschke, 2013. "Experimentation by Firms, Distortions, and Aggregate Productivity," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(1), pages 26-38, January.
    20. Niklas Engbom, 2019. "Firm and Worker Dynamics in an Aging Labor Market," Working Papers 756, Federal Reserve Bank of Minneapolis.
    21. Has van Vlokhoven, 2023. "Diffusion of Ideas in Networks with Endogenous Search," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 269-311, July.
    22. Huffman, Gregory W., 2020. "An analysis of the importance of both destruction and creation to economic growth," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 166-183.
    23. Hengjie Ai & Rui Li, 2012. "Moral hazard, investment, and firm dynamics," FRB Atlanta CQER Working Paper 2012-01, Federal Reserve Bank of Atlanta.
    24. Kishi, Keiichi & Okada, Keisuke, 2021. "The impact of trade liberalization on productivity distribution under the presence of technology diffusion and innovation," Journal of International Economics, Elsevier, vol. 128(C).

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    More about this item

    Keywords

    Technology; Productivity;

    JEL classification:

    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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