A Time Series Test of Innovation-Driven Endogenous Growth
AbstractThis 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.
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Bibliographic InfoArticle provided by Western Economic Association International in its journal Economic Inquiry.
Volume (Year): 44 (2006)
Issue (Month): 2 (April)
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- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
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- Venturini, Francesco, 2012.
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- 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.
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- 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.
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