66-Lia-Sheer-ls281-Fuqua School of Busin

Lia Sheer, Ph.D. 

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I am an Assistant Professor of Strategy (Senior Lecturer, Tenure-Track) at the Coller School of Management of Tel-Aviv University, Israel. My research focuses on organizing scientific discovery for innovation inside R&D firms. More specifically, my research examines the interplay between corporate science, innovation, markets for technology, knowledge spillovers, as well as their aggregated effect on firm-level outcomes. As part of my research initiatives, I compile open-source large-scale firm-level datasets. My research has been featured in top academic journals, including American Economic Review, and Research Policy. I received my PhD in Business Administration (Strategy) from Duke University’s Fuqua School of Business. I was the 2020-2021 recipient of Fuqua's School of Business Best Dissertation Award. I earned an MBA from the Hebrew University of Jerusalem, and a B.A. in Economics from Tel-Aviv University. Prior to academia, I worked in the Banking Industry and was an Economic Consultant in the Ministry of Defense Budget Department, Israel. I am a co-founder of Fuqua-STAGE (Society to Advance Gender Equality in Business Academia) and an advocate for women in STEM.



-  “Sitting on the fence: integrating the two worlds of scientific discovery and invention within the firm”Research Policy, 51(7):104550, 2022

-  “Knowledge spillovers and corporate investment in scientific research” (w/ A. Arora & S. Belenzon), American Economic Review, 111(3): 871-898, March 2021

-  “Matching patents to Compustat firms, 1980-2015: Dynamic reassignment, name changes, and ownership structures” (w/ A. Arora & S. Belenzon), Research Policy, 50(5):10421, 2021

- Dataset: DISCERN: Duke Innovation & SCientific Enterprises Research Network (w/ A. Arora & S. Belenzon). Zenodo: http://doi.org/10.5281/zenodo.4320782, December 2020


The Effect of Public Science on Corporate R&D (w/ A. Arora & S. Belenzon & L. Cioaca)

Does public science crowd out corporate research? We answer this question by modelling how firms profit from science and explore the moderating roles of technological leadership and the nature of strategic interactions between firms. We link private science with public science that is relevant to focal firms' inventions and trace funding sources. Identification is based on firm-specific exposure to (i) changes in federal agency R&D budgets, (ii) windfall funding resulting from the congressional appropriations process, and (iii) an event study that exploits changes in federal funding priorities after the end of the Cold War. We present three main results. First, the average firm responds to an increase in public science by producing fewer publications and patents. Second, firms with high-quality inventions (technological leaders) continue to invest in research even when public science is abundant. Third, strategic interactions in the product market moderate the relationships. Rival use of public science reduces the focal firm’s market value, publications and patents, especially when rivals use public science not used by the focal firm. These findings advance our understanding of the reasons behind the changing composition of corporate R\&D. While the decline in corporate science can partly be explained by the rise in public science, the effect has been uneven across firms, affecting firms further from the technology frontier more than the technology leaders. Because public science is free for all, its impact on corporate R&D depends on the nature of strategic interactions between the firms that use it. In this respect, our findings suggest that strategic interactions have likely amplified the crowding out effect for non-frontier firms.


DISCERN: Duke Innovation & SCientific Enterprises Research Network

The dataset traces more than 4,000 U.S. publicly traded R&D firms' investment in innovation and scientific discovery for 35 years. It includes patents, scientific articles, and NPL citations matched to Compustat firms over the period 1980-2015. It introduces a major extension and improvement to the historical NBER patent data (Hall, Jaffe, & Trajtenberg, 2001). In extending the match to Compustat up to 2015, we address two major challenges: name changes and ownership changes. The data including an historical firm name list with dynamic reassignment, are publicly available. First presented at the NBER (National Bureau of Economic Research) Innovation Information Initiative meeting in December 2019.

Download the data athttp://doi.org/10.5281/zenodo.4320782


When using the data, please cite both papers below:

  1.  Arora, A., Belenzon, S. and Sheer, L., 2021. Knowledge spillovers and corporate investment in scientific research. American Economic Review, 111(3), pp.871-98.

  2. Arora, A., Belenzon, S. and Sheer, L., 2021. Matching patents to Compustat firms, 1980–2015: Dynamic reassignment, name changes, and ownership structures. Research Policy, 50(5), p.104217.


I³: Open Innovation Dataset Index

A collection of innovation datasets, and related tools, platforms and resources used by the broader research community