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A Time Series Test of Innovation-Driven Endogenous Growth

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  • Norman H. Sedgley

Abstract

This article finds evidence that ideas and innovation are a key force explaining postwar growth in the U.S. economy. Utilizing data on patents issued since 1851, I construct a measure of the growth rate of knowledge. Capital stock estimates, human capital estimates, and real gross domestic product per worker growth rates are combined with the knowledge growth series to construct a time series test of endogenous innovation growth models. The results support the endogenous innovation approach but suggest that the accumulation of the per worker capital stock and changes in average human capital per worker are at least as important. (JEL 030, C32) Copyright 2006, Oxford University Press.

Suggested Citation

  • Norman H. Sedgley, 2006. "A Time Series Test of Innovation-Driven Endogenous Growth," Economic Inquiry, Western Economic Association International, vol. 44(2), pages 318-332, April.
    • Handle: RePEc:oup:ecinqu:v:44:y:2006:i:2:p:318-332
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    File URL: http://hdl.handle.net/10.1093/ei/cbj017
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    Citations

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    Cited by:

    1. Ozan Hatipoglu, 2012. "The relationship between inequality and innovative activity: a S chumpeterian theory and evidence from cross‐country data," Scottish Journal of Political Economy, Scottish Economic Society, vol. 59(2), pages 224-248, May.
    2. Ford, Timothy C. & Rork, Jonathan C., 2010. "Why buy what you can get for free? The effect of foreign direct investment on state patent rates," Journal of Urban Economics, Elsevier, vol. 68(1), pages 72-81, July.
    3. Juhro, Solikin M. & Narayan, Paresh Kumar & Iyke, Bernard Njindan & Trisnanto, Budi, 2020. "Is there a role for Islamic finance and R&D in endogenous growth models in the case of Indonesia?," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    4. Sedgley, Norman & Elmslie, Bruce, 2010. "Reinterpreting the Jones critique: A time series approach to testing and understanding idea driven growth models with transitional dynamics," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 103-117, March.
    5. Venturini, Francesco, 2012. "Looking into the black box of Schumpeterian growth theories: An empirical assessment of R&D races," European Economic Review, Elsevier, vol. 56(8), pages 1530-1545.
    6. Ozan Hatipoglu, 2007. "An Empirical Analysis of the Relationship Between Inequality and Innovation in a Schumpeterian Framework," Working Papers 2007/10, Bogazici University, Department of Economics.

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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