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Transitional Dynamics in Aggregate Models of Innovative Investment

Author

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  • Andrew Atkeson
  • Ariel T. Burstein
  • Manolis Chatzikonstantinou

Abstract

What quantitative lessons can we learn from models of endogenous technical change through innovative investments by firms for the impact of changes in the economic environment on the dynamics of aggregate productivity in the short, medium, and long run? We present a unifying model that nests several canonical models in the literature and characterize both their positive implications for the transitional dynamics of aggregate productivity and their welfare implications in terms of two sufficient statistics. We review the current state of measurement of these two sufficient statistics and discuss the range of positive and normative quantitative implications of our model for a wide array of counterfactual experiments, including the link between a decline in the entry rate of new firms and a slowdown in the growth of aggregate productivity. We conclude with a summary of the lessons learned from our analysis to help direct future research aimed at building models of endogenous productivity growth that are useful for quantitative analysis.

Suggested Citation

  • Andrew Atkeson & Ariel T. Burstein & Manolis Chatzikonstantinou, 2019. "Transitional Dynamics in Aggregate Models of Innovative Investment," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 273-301, August.
    • Handle: RePEc:anr:reveco:v:11:y:2019:p:273-301
    DOI: 10.1146/annurev-economics-080218-025523
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    Cited by:

    1. Joshua C. R. Fletcher & Eric S. Howard & Albert N. Link & Alan C. O’Connor, 2023. "Knowledge-based information and the effectiveness of R&D in small firms," Small Business Economics, Springer, vol. 60(3), pages 891-900, March.
    2. Ruiyang Hu & Yibai Yang & Zhijie Zheng, 2023. "Effects of subsidies on growth and welfare in a quality‐ladder model with elastic labor," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 25(5), pages 1096-1137, October.
    3. Rodrigo Adão & Martin Beraja & Nitya Pandalai-Nayar, 2020. "Technological Transitions with Skill Heterogeneity Across Generations," NBER Working Papers 26625, National Bureau of Economic Research, Inc.
    4. Yueling Cai & Gongliang Wu & Dingsheng Zhang, 2020. "Does Export Trade Promote Firm Innovation?," Annals of Economics and Finance, Society for AEF, vol. 21(2), pages 483-506, November.
    5. Cristina CRISTE & Ciel BOVARY (MAN) & Nicoleta-Claudia MOLDOVAN & Raluca RĂCĂTĂIAN & Oana-Ramona LOBONȚ, 2024. "Eu Capacity To Bolster And Stimulate Research And Innovation: Who Is The Leader In Development?," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 19(2), pages 60-77, August.
    6. Fatih Karahan & Benjamin Pugsley & Ayşegül Şahin, 2024. "Demographic Origins of the Start-up Deficit," American Economic Review, American Economic Association, vol. 114(7), pages 1986-2023, July.
    7. Mohammadreza Mahmoudi, 2021. "Identifying the Main Factors of Iran's Economic Growth using Growth Accounting Framework," Papers 2109.02787, arXiv.org, revised Oct 2021.

    More about this item

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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