William R. Kerr () (Harvard Business School, Entrepreneurial Management Unit) Shihe Fu () (Southwestern University of Finance and Economics, People’s Republic of China)
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This paper details the construction of a firm-year panel dataset combining the NBER Patent Dataset with the Industry R&D Survey conducted by the Census Bureau and National Science Foundation. The developed platform offers an unprecedented view of the R&D-to-patenting innovation process and a close analysis of the strengths and limitations of the Industry R&D Survey. The files are linked through a name-matching algorithm customized for uniting the firm names to which patents are assigned with the firm names in Census Bureau’s SSEL business registry. Through the Census Bureau’s file structure, this R&D platform can be linked to the operating performances of each firm’s establishments, further facilitating innovation-to-productivity studies.
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Paper provided by Harvard Business School in its series Working Papers with number
07-031.
Length: 29 pages Date of creation: Nov 2006 Date of revision: Publication status: Forthcoming in Journal of Technology Transfer Handle: RePEc:hbs:wpaper:07-031
Find related papers by JEL classification: C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Microeconomic Data O30 - Economic Development, Technological Change, and Growth - - Technological Change - - - General O31 - Economic Development, Technological Change, and Growth - - Technological Change - - - Innovation and Invention: Processes and Incentives
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