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On Patents, R & D, and the Stock Market Rate of Return
Open accessAbstract
Empirical work on the causes and effects of inventive activity has had difficulty in finding measures that can indicate when and where changes in either inventive inputs or inventive output have occurred. The recent computerization of the U.S. Patent Office's data base may prove helpful in this context, but there is the problem that a priori we do not know the relationships between patent applications and economically meaningful measures of these inputs and outputs. To help solve this problem, this paper investigates the dynamic relationships among the number of successful patent applications of firms, a measure of the firm's investment in inventive activity (its R & D expenditures),\tand an indicator of its inventive output (the stock market value of the firm).
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Citations
Cited by
Taxation and the International Mobility of Inventors
Akcigit, U., Baslandze, S., & Stantcheva, S. (2016) · American Economic Review · doi:10.1257/aer.20150237 · Cited by 428
Popp, D. (2010) · Annual Review of Resource Economics · doi:10.1146/annurev.resource.012809.103929 · Cited by 217
Endogenizing technological change: Matching empirical evidence to modeling needs
Pizer, W. A., & Popp, D. (2008) · Energy Economics · doi:10.1016/j.eneco.2008.02.006 · Cited by 149
Barbieri, N. (2016) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.07.002 · Cited by 43
Metadata
- Authors
- Pakes, A.
- Venue
- Journal of Political Economy
- Publisher
- University of Chicago Press
- Published
- 1985-04
- Volume
- 93
- Issue
- 2
- Pages
- 390-409
- ISSN
- 0022-3808 (ISSN-L)
- 1537-534X
- OpenAlex
- W2145324776
- Cited by
- 562
- References
- 0
- FWCI
- 15.36
- Type
- journal article
- Language
- en
- Open access
- green
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- Pakes, A. (1985). On Patents, R & D, and the Stock Market Rate of Return. Journal of Political Economy. https://doi.org/10.1086/261305
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.