Technology Diffusion and Postwar Growth
In: NBER macroeconomics annual, Band 25, Heft 1, S. 209-246
ISSN: 1537-2642
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In: NBER macroeconomics annual, Band 25, Heft 1, S. 209-246
ISSN: 1537-2642
In: American economic review, Band 100, Heft 5, S. 2031-2059
ISSN: 1944-7981
We develop a model that, at the aggregate level, is similar to the one-sector neoclassical growth model; at the disaggregate level, it has implications for the path of observable measures of technology adoption. We estimate it using data on the diffusion of 15 technologies in 166 countries over the last two centuries. Our results reveal that, on average, countries have adopted technologies 45 years after their invention. There is substantial variation across technologies and countries. Newer technologies have been adopted faster than old ones. The cross-country variation in the adoption of technologies accounts for at least 25 percent of per capita income differences. (JEL O33, O41, O47)
In: NBER Working Paper No. w16379
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In: NBER Working Paper No. w16378
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In: Harvard Business School BGIE Unit Working Paper No. 11-027
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In: Harvard Business School BGIE Unit Working Paper No. 11-026
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In: Journal of Monetary Economics, Band 56, Heft 8, S. 1023-1042
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In: American economic review, Band 96, Heft 3, S. 523-551
ISSN: 1944-7981
Over the postwar period, many industrialized countries have experienced significant medium-frequency oscillations between periods of robust growth versus relative stagnation. Conventional business cycle filters, however, tend to sweep these oscillations into the trend. In this paper we explore whether they may, instead, reflect a persistent response of economic activity to the high-frequency fluctuations normally associated with the cycle. We define as the medium-term cycle the sum of the high- and medium-frequency variation in the data, and then show that these kinds of fluctuations are substantially more volatile and persistent than are the conventional measures. These fluctuations, further, feature significant procyclical movements in both embodied and disembodied technological change, and research and development (R&D), as well as the efficiency and intensity of resource utilization. We then develop a model of medium-term business cycles. A virtue of the framework is that, in addition to offering a unified approach to explaining the high- and medium-frequency variation in the data, it fully endogenizes the movements in productivity that appear central to the persistence of these fluctuations. For comparison, we also explore how well an exogenous productivity model can explain the facts.
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In: NBER Working Paper No. w11388
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In: NBER Working Paper No. w11503
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In: NBER macroeconomics annual, Band 20, S. 167-201
ISSN: 1537-2642