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Patent Statistics as Economic Indicators: A Survey

Zvi Griliches
- 01 Mar 1990 - 
- pp 287-343
TLDR
In this paper, the authors present a survey on the use of patent data in economic analysis, focusing on the patent data as an indicator of technological change and concluding that patent data remain a unique resource for the study of technical change.
Abstract
This survey reviews the growing use of patent data in economic analysis. After describing some of the main characteristics of patents and patent data, it focuses on the use of patents as an indicator of technological change. Cross-sectional and time-series studies of the relationship of patents to R&D expenditures are reviewed, as well as scattered estimates of the distribution of patent values and the value of patent rights, the latter being based on recent analyses of European patent renewal data. Time-series trends of patents granted in the U.S. are examined and their decline in the 1970s is found to be an artifact of the budget stringencies at the Patent Office. The longer run downward trend in patents per R&D dollar is interpreted not as an indication of diminishing returns but rather as a reflection of the changing meaning of such data over time. The conclusion is reached that, in spite of many difficulties and reservations, patent data remain a unique resource for the study of technical change.

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Collaboration Networks, Structural Holes, and Innovation: A Longitudinal Study:

TL;DR: In this paper, a theoretical framework that relates three aspects of a firm's ego network (direct ties, indirect ties, and indirect ties) is proposed to assess the effects of a firms network of relations on innovation.
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International R&D Spillovers

TL;DR: In this paper, the effects of both domestic and foreign R&D capital stocks on total factor productivity were investigated and it was shown that the foreign stocks had large effects on the smaller countries in the sample.
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Strategic alliances and interfirm knowledge transfer

TL;DR: In this paper, a measure of changes in alliance partners' technological capabilities, based on the citation patterns of their patent portfolios, is used to analyze changes in the extent to which partner firms' technological resources overlap as a result of alliance participation.
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Real Effects of Academic Research

TL;DR: In this article, the existence of geographically mediated "spillovers" from university research to commercial innovation is explored using state-level time-series data on corporate patents, corporate R&D, and university research.
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Market value and patent citations

TL;DR: Hall et al. as mentioned in this paper explored the usefulness of patent citations as a measure of the "importance" of a firm's patents, as indicated by the stock market valuation of the firm's intangible stock of knowledge.
References
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Investigating Causal Relations by Econometric Models and Cross-Spectral Methods

TL;DR: In this article, the cross spectrum between two variables can be decomposed into two parts, each relating to a single causal arm of a feedback situation, and measures of causal lag and causal strength can then be constructed.
Journal ArticleDOI

Issues in assessing the contribution of research and development to productivity growth

TL;DR: In this article, the authors outline the production function approach to the estimation of the returns to R&D and then discuss in turn two very difficult problems: the measurement of output in R&DI intensive industries and the definition and measurement of the stock of R&DC 'capital'.
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Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits and Market Value

TL;DR: In this article, the authors present evidence that firms' patents, profits and market value are systematically related to the technological position of firms' research programs, and that firms are seen to "move" in technology space in response to the pattern of contemporaneous profits at different positions.
Posted Content

Real Effects of Academic Research

TL;DR: In this article, the existence of geographically mediated "spillovers" from university research to commercial innovation is explored using state-level time-series data on corporate patents, corporate R&D, and university research.