Federal funding of doctoral recipients: What can be learned from linked data
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DOI: 10.1016/j.respol.2019.03.001
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Cited by:
- Jason Coupet & Yuhao Ba, 2022. "Benchmarking university technology transfer performance with external research funding: a stochastic frontier analysis," The Journal of Technology Transfer, Springer, vol. 47(2), pages 605-620, April.
- Graddy-Reed, Alexandra & Lanahan, Lauren & D'Agostino, Jesse, 2021. "Training across the academy: The impact of R&D funding on graduate students," Research Policy, Elsevier, vol. 50(5).
- Kyle Myers & Wei Yang Tham, 2023. "Money, Time, and Grant Design," Papers 2312.06479, arXiv.org.
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More about this item
Keywords
UMETRICS; Linked survey transaction data; Doctoral workforce; Survey of earned doctorates; Research impact;All these keywords.
JEL classification:
- O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
- O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
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