Wesley M. Cohen

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National surveys of R&D labs across the manufacturing sectors in the US and Japan show that intraindustry R&D knowledge flows and spillovers are greater in Japan than in the US and the appropriability of rents due to innovation less. Patents in particular are observed to play a more central role in diffusing information across rivals in Japan, and appear to(More)
We analyze the effect of patenting on R&D with a model linking a firm’s R&D effort with its decision to patent, recognizing that R&D and patenting affect one another and are both driven by many of the same factors. Using survey data for the U.S. manufacturing sector, we estimate the increment to the value of an innovation realized by patenting it, and then(More)
This paper assesses the validity and accuracy of firms' backward patent citations as a measure of knowledge flows from public research by employing a newly constructed dataset that matches patents to survey data at the level of the R&D lab. Using survey-based measures of the dimensions of knowledge flows, we identify sources of systematic measurement error(More)
E studying innovation and technological change have made significant progress toward understanding firms’ profit incentives as drivers of innovation. However, innovative performance in firms should also depend heavily on the pecuniary and nonpecuniary motives of the employees actually working in research and development. Using data on more than 1,700 Ph.D.(More)
Conventional learning curves relating unit cost to measures of production experience are estimated for 221 specialty chemicals produced by a Fortune 500 company. Detailed records on cost and R&D coupled with insights from company personnel are used to explain the variation across products in the rate of cost reduction. Products that exhibited the strongest(More)
We report the results of the first comparative study of the determinants and effects of patent oppositions in Europe and of re-examinations on corresponding patents issued in the United States. The analysis is based on a dataset consisting of matched EPO and US patents. Our analysis focuses on two broad technology categories biotechnology and(More)