Yasin Ozcan
Postdoctoral Fellow, MIT




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1050 Massachusetts Avenue
Cambridge, MA 02138

Phone: (847)-281-6811
Email: ozcan@mit.edu


Research Interests
  • Technology Strategy
  • Innovation
  • Entrepreneurship


Job Market Paper

 

 

ABSTRACT: Open access increases citation of medical research in patent applications by 25 to 51 percent, suggesting that gated academic journals may meaningfully restrict the flow of knowledge from academia to inventors. We identify this effect using the 2008 NIH open access mandate in conjunction with the fact that some journals make their full archives free-to-read whether or not an article is bound by an institutional mandate. This increased citation by patentees occurs even though there is minimal impact on citations within academia. Methodologically, we introduce a new data source for scholars investigating knowledge transfer using patent records: the in-specication citation. These citations can be extracted in a straightforward way directly from the patent text, and differ substantially from prior art citations.




Other Academic Papers



Publications:


ABSTRACT: Has the market structure for inventive ideas in the Information and Communications Technology (“ICT”) equipment industry undergone dramatic changes in the last three decades in the United States? What does statistical evidence from U.S. patent activity suggest about change to the concentration of sources of inventive ideas? This Study characterizes levels, and changes in those levels, in the concentration of sources of new invention from 1976 to 2010. The analysis finds pervasive deconcentration across a wide set of areas. It also finds that the deconcentration takes place despite the role lateral entry by existing firms plays in driving concentration levels up. Furthermore, the evidence suggests that the deconcentration trend cannot be attributed to a single supply factor in the market for ideas, such as the breakdown of AT&T during the deregulation of the telecommunications industry.



Working Manuscripts:


ABSTRACT: This article investigates the determinants of pairing decisions in M&A activity of knowledge-intensive firms. Using standard patent-based metrics from novel data on 2,378 M&A deals, I show that there is a positive assortative sorting on acquirer and target innovation output quality; conditional on participating in M&A activity, high quality targets pair with high quality acquirers. The positive sorting on innovation quality is consistent with the view that external innovation complements internal innovation output of firms. I also show that the pairing probability in an acquisition decreases with distance between the acquirer and the target Firm in technology, product market, and geography. Furthermore, I show that sorting on innovation quality in acquisition of private firms is weaker than in public firms. This difference has implications for acquirer returns in public-private acquisitions.



ABSTRACT: What does statistical evidence from patent activity suggest about change to the concentration of sources of inventive ideas in Information and Communications (ICT) Equipment? This article characterizes levels, and changes in those levels, in the concentration of sources of invention from 1976 to 2010. The analysis finds pervasive long run deconcentration across a wide set of areas. It also finds that the deconcentration happens despite the role lateral entry by existing firms play in driving concentration levels up. Although we find evidence that new firm entry drives part of this deconcentration, the evidence also suggests that the deconcentration trend cannot be attributed to a single supply factor in the market for ideas, such as the breakup of AT&T during the deregulation of the telecommunications industry. Finally, the evidence also shows that mergers and acquisitions activity results in the transfer of approximately 11% of patents in the ICT equipment industry, but this transfer does not make up for the declines in concentration. That conclusion holds for high-quality patents, and, to a weaker extent, when examining the entire US patent database.




Work in Progress:

  • "Changes in Appropriation Regime and Reliance on Basic Science: Evidence from non-Compete Agreements"
  • "Patent In-specification Citations: A New Measure of Knowledge Flow" (with Kevin Bryan)

 



Projects

 


SUMMARY: Measuring the impact of publicly funded science on the rate and direction of innovation is a perennial challenge in science and technology policy. Over the past few years, several research teams have made progress in extracting science citations in issued patents, and have used these data to examine links between science and technology and the economic impact of science. All of these analyses focus on “front page” citations and ignore another set of references to scientific articles, “in text” citations in the text of the patent themselves. More fundamentally, there is limited understanding of what types of intellectual linkages and knowledge flows either front page or in-text citations represent. This project seeks to make advances on each of these fronts, by developing tools to extract in-text citations and create a public database of in text and front page citations, administering and analyzing a survey to assess the meaning of the different types of citations, and leveraging new computational techniques to examine whether particular types of citations are more predictive of real linkages between scientific articles and the patents that cite them.


  • "Corporate Restructuring, Human Capital, and Innovation," Approved Research Project with the US Census Bureau


© 2017 Yasin Ozcan
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Last modified: September 2017