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Cited by 916

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Research, Patenting, and Technological Change

Kortum, Samuel S.·1997·Econometrica

Abstract

This paper develops a search-theoretic model of technological change that accounts for some puzzling trends in industrial research, patenting, and productivity growth. In the model, researchers sample from probability distributions of potential new production techniques. Past research generates a technological frontier representing the best techniques for producing each good in the economy. Technological breakthroughs, resulting in patents, become increasingly hard to find as the technological frontier advances. This explains why patenting has been roughly constant as research employment has risen sharply over the last forty years. Productivity is determined by the position of the technological frontier and hence by the stock of past research. If researchers sample from Pareto distributions, then productivity growth is proportional to the growth of the research stock. The Pareto specification accounts for why productivity growth has neither risen as research employment has grown nor fallen as patenting has failed to grow. The growth of research employment itself is driven, in equilibrium, by population growth. Calibrating the model's four parameters, the implied social return to research is over twenty percent.

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Metadata

Authors
Kortum, S. S.
Venue
Econometrica
Publisher
JSTOR
Published
1997-11
Volume
65
Issue
6
Pages
1389
ISSN
0012-9682 (ISSN-L)
OpenAlex
W2150606840
Cited by
916
References
1
FWCI
31.38
Type
journal article
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.