Technological Innovation, Resource Allocation, and Growth
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This paper used newly collected data on patents issued to U.S. firms in the 1926 to 2010 period, combined with the stock market response to news about patents, to measure the economic importance of each innovation.Abstract:
We propose a new measure of the economic importance of each innovation. Our measure uses newly collected data on patents issued to U.S. firms in the 1926 to 2010 period, combined with the stock market response to news about patents. Our patent-level estimates of private economic value are positively related to the scientific value of these patents, as measured by the number of citations the patent receives in the future. Our new measure is associated with substantial growth, reallocation, and creative destruction, consistent with the predictions of Schumpeterian growth models. Aggregating our measure suggests that technological innovation accounts for significant medium-run fluctuations in aggregate economic growth and TFP. Our measure contains additional information relative to citation-weighted patent counts; the relation between our measure and firm growth is considerably stronger. Importantly, the degree of creative destruction that is associated with our measure is higher than previous estimates, confirming that it is a useful proxy for the private valuation of patents.read more
Citations
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References
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A Model of Growth Through Creative Destruction
Philippe Aghion,Peter Howitt +1 more
TL;DR: In this paper, a model of endogenous growth is developed in which vertical innovations, generated by a competitive research sector, constitute the underlying source of growth and equilibrium is determined by a forward-looking difference equation, according to which the amount of research in any period depends upon the expected amount of the research next period.