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Breaking the Waves: A Poisson Regression Approach to Schumpeterian Clustering of Basic Innovations

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  • Silverberg, Gerald
  • Verspagen, Bart

    (MERIT)

Abstract

The Schumpeterian theory of long waves has given rise to an intense debate on the existenceof clusters of basic innovations. Silverberg and Lehnert have criticized the empirical part ofthis literature on several methodological accounts. In this paper, we propose the methodologyof Poisson regression as a logical way to incorporate this criticism. We construct a new timeseries for basic innovations (based on previously used time series), and use this to test thehypothesis that basic innovations cluster in time. We define the concept of clustering invarious precise ways before undertaking the statistical tests. The evidence we find onlysupports the �weakest� of our clustering hypotheses, i.e., that the data display overdispersion.We thus conclude that the authors who have argued that a long wave in economic life isdriven by clusters of basic innovations have stretched the statistical evidence too far.

Suggested Citation

  • Silverberg, Gerald & Verspagen, Bart, 2000. "Breaking the Waves: A Poisson Regression Approach to Schumpeterian Clustering of Basic Innovations," Research Memorandum 026, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
  • Handle: RePEc:unm:umamer:2000026
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    References listed on IDEAS

    as
    1. Silverberg, Gerald & Lehnert, Doris, 1993. "Long waves and 'evolutionary chaos' in a simple Schumpeterian model of embodied technical change," Structural Change and Economic Dynamics, Elsevier, vol. 4(1), pages 9-37, June.
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    4. Cincera, Michele, 1997. "Patents, R&D, and Technological Spillovers at the Firm Level: Some Evidence from Econometric Count Models for Panel Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 265-280, May-June.
    5. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    6. Solomou, Solomos, 1986. "Innovation Clusters and Kondratieff Long Waves in Economic Growth," Cambridge Journal of Economics, Oxford University Press, vol. 10(2), pages 101-112, June.
    7. Crepon, Bruno & Duguet, Emmanuel, 1997. "Estimating the Innovation Function from Patent Numbers: GMM on Count Panel Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 243-263, May-June.
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