Breaking the waves: a poisson regression approach to schumpeterian clustering of basic innovations
AbstractThe 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 âweakestâ 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.
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Bibliographic InfoPaper provided by Eindhoven Center for Innovation Studies (ECIS) in its series Eindhoven Center for Innovation Studies (ECIS) working paper series with number 00.16.
Date of creation: 2000
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Other versions of this item:
- Gerald Silverberg & Bart Verspagen, 2003. "Breaking the waves: a Poisson regression approach to Schumpeterian clustering of basic innovations," Cambridge Journal of Economics, Oxford University Press, vol. 27(5), pages 671-693, September.
- 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).
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