Summary

The Virtuous Cycle of Innovation and Capital Flows
Author(s):
Daniel Fehder, University of Southern California
Naomi Hausman, Hebrew University
Yael Hochberg, Rice University and NBER
Discussant(s):
Adam B. Jaffe, Brandeis University and NBER
Summary:

Does local innovation attract venture capital? Using a regime change in the commercialization of university innovation in 1980 that strongly increased university incentives to patent and license discoveries, Fehder, Hausman, and Hochberg document the complement to Kortum and Lerner (2000)'s finding that financing drives future innovation. Because universities have different technological strengths, each local area surrounding a university experienced an increase in innovation relevant to particular sets of industries after 1980 -- industries which differ widely across university counties. Comparing industries within a county that were more versus less connected to the local university's innovative strengths, the researchers show that venture capital dollars after 1980 flowed systematically towards geographic areas and industries with the greatest sudden influx of innovation from universities. In contrast, the distribution of corporate patenting and prior venture financing in the pre-period does not predict a differential increase in future venture financing, suggesting that the findings are not solely driven by the 1979 pension fund reform that increased financing available to VCs across the board. The results support the notion of a "virtuous cycle" wherein innovation serves to draw capital investment that then funds future innovation.

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Did the $660 Billion Paycheck Protection Program and $220 Billion Economic Injury Disaster Loan Program Get Disbursed to Minority Communities in the Early Stages of COVID-19?
Author(s):
Robert W. Fairlie, University of California, Santa Cruz and NBER
Frank Fossen, University of Nevada, Reno
Discussant(s):
Karen G. Mills, Harvard University
Summary:

Social distancing restrictions and health- and economic-driven demand shifts from COVID-19 shut down many small businesses with especially negative impacts on minority owners. Is there evidence that the unprecedented federal government response to help small businesses – the $659 billion Paycheck Protection Program (PPP) and the related $220 billion COVID-19 Economic Injury Disaster Loans (EIDL) – which had a stated goal of helping disadvantaged groups, was disbursed evenly to minority communities? In this descriptive research note, Fairlie and Fossen provide the first detailed analysis of how the PPP and EIDL funds were disbursed across minority communities in the country. From their analysis of data on the universe of loans from these programs and administrative data on employer firms, the researchers generally find a slightly positive relationship between PPP loan receipt per business and the minority share of the population or businesses, although funds flowed to minority communities later than to communities with lower minority shares. PPP loan amounts, however, are negatively related to the minority share of the population. The EIDL program, in contrast, both in numbers and amounts, was distributed positively to minority communities.

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In addition to the conference paper, the research was distributed as NBER Working Paper w28321, which may be a more recent version.

Global Drug Diffusion and Innovation with the Medicines Patent Pool
Author(s):
Lucy Xiaolu Wang, Max Planck Institute for Innovation and Competition, Germany
Discussant(s):
Iain M. Cockburn, Boston University and NBER
Summary:

Wang studies the impact of the first joint licensing platform for patented drugs, the Medicines Patent Pool, on global drug diffusion and innovation. The pool allows generic firms worldwide to license drug bundles cheaply and conveniently for sales in a set of developing countries. Wang constructs a novel dataset from licensing contracts, public procurement, clinical trials, and drug approvals. Using difference-in-differences methods, they find that the pool leads to substantial increases in the generic supply of drugs purchased. In addition, there are positive responses in R&D inputs and outputs. Finally, they estimate a simple structural model for a cost-benefit analysis.

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Reshaping the Local Marketplace: Brands, Local Stores, and COVID
Author(s):
Vojislav Maksimovic, University of Maryland
Liu Yang, University of Maryland
Discussant(s):
Yi Qian, University of British Columbia and NBER
Summary:

Using weekly establishment-level near real-time foot-traffic data, Maksimovic and Yang show that the collapse and reallocation of foot traffic during the COVID-19 pandemic affected pharmacies across localities across the US disparately. The evidence suggests that the COVID shock reshuffled foot traffic from independent stores to the national brands. This change occurred broadly and persisted after the initial demand shock. While government PPP subsidies and the presence of small-business-friendly banks temporarily softened the immediate shock for independent pharmacies the effect dissipated over time. The outcomes at the end of the sample period are consistent with the hypothesis that brand chains are more productive than independents and that they were able to gain relatively more customers as COVID scrambled demand. Brand stores are initially larger, they are in more customer-dense locations, and they are in higher-income areas. These characteristics also predict competitive outcomes of brand stores relative to independents. Thus, the COVID shock has accelerated the ongoing rise of brands and the decline of independent pharmacies. If generalized across other markets, this change will have large implications for small businesses and the shape of local communities.

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Small Business Survival Capabilities: Evidence from Oakland
Author(s):
Robert P. Bartlett, University of California at Berkeley
Adair Morse, University of California, Berkeley and NBER
Discussant(s):
William Strange, University of Toronto
Summary:

Using unique City of Oakland data during COVID-19, Bartlett and Morse document that small business survival capabilities vary by firm size as a function of revenue resiliency, labor flexibility, and committed costs. Nonemployer businesses rely on low-cost structures to survive 73% declines in own-store foot traffic. Microbusinesses (1-to-5 employees) depend on 14% greater revenue resiliency. Enterprises (6-to-50 employees) have twice-as-much labor flexibility, but face 11%-to-22% higher residual closure risk from committed costs. Finally, inconsistent with the spirit of Chetty-Friedman-Hendren-Sterner (2020) and Granja-Makridis-Yannelis-Zwick (2020), PPP application success increased medium-run survival probability by 20.5%, but only for microbusinesses, arguing for size-targeting of policies.

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Flight to Safety: How Economic Downturns Affect Talent Flows to Startups
Author(s):
Shai Bernstein, Harvard University and NBER
Richard R. Townsend, University of California, San Diego and NBER
Ting Xu, University of Virginia
Discussant(s):
Elena Simintzi, University of North Carolina at Chapel Hill
Summary:

Bernstein, Townsend, and Xu investigate how economic downturns affect the flow of human capital to startups. Using proprietary data from Angel List Talent, they study how individuals' online job searches and applications changed during the emergence of the COVID-19 crisis. The researchers find that job seekers shifted their searches toward larger firms and away from early-stage ventures, even within the same individual over time. Simultaneously, job seekers broadened their other search parameters, considering lower salaries and a wider variety of job types, roles, markets, and locations. Relative to larger firms, early-stage ventures experienced a decline in the number of applications per job posting, a decline driven by higher quality and more experienced job seekers. This led to a deterioration in the quality of the human capital pool available to early-stage ventures during the downturn. These declines hold within a firm as well as within a job posting over time. The findings uncover a flight to safety channel in the labor market, which may amplify the pro-cyclical nature of entrepreneurial activities.

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In addition to the conference paper, the research was distributed as NBER Working Paper w27907, which may be a more recent version.

Participants

Below is a list of conference attendees.
Nicaise Aman, University Cheick Anta Diop (UCAD)
Mateja Andric, University of St. Gallen
Meghana Ayyagari, George Washington University
Maxime Bonelli, HEC Paris
Indraneel Chakraborty, University of Miami
Thomas J. Chemmanur, Boston College
Wendy Chen, Texas Tech University
Assa Cohen, University of Pennsylvania
Ana Cusolito, The World Bank
Patricio Dalton, Tilburg University
Weiran Deng, University of Southern California
Chuck Eesley, Stanford University
Mahdi Eghbali, University of Iowa
April Franco, University of Toronto
Luca Gius, Massachusetts Institute of Technology
Isaac Hacamo, Indiana University
Pengfei Han, Peking University
Ouafaa Hmaddi, University of Oregon
Allen Hu, Yale University
Agustin M. Hurtado, University of Chicago
Sunwoo Hwang, University of Cambridge
Mitsuru Igami, Yale University
Mazhar Islam, Tulane University
Mark Jansen, University of Utah
Aakash Kalyani, Boston University
Sukhun Kang, London Business School
Seula Kim, University of Maryland
Katja Kisseleva, ESMT Berlin
Kristoph Kleiner, Indiana University
Elena Kulchina, North Carolina State University
Michael Leatherbee, Pontificia Universidad Catolica de Chile
Nils Haakon Lehr, Boston University
Jinlin Li, Harvard University
Canyao Liu, Yale University
Tong Liu, University of Pennsylvania
Yunbo Liu, University of California at Berkeley
Alina Malkova, University of Missouri
Alan Marco, Georgia Institute of Technology
Denis Medvedev, The World Bank
Mike Meurer, Boston University
Alexander JM. Montag, University of Oxford
Sanghamitra W. Mukherjee, University of Oxford
Thomas H. Noe, University of Oxford
Jean J. Oh, Columbia Business School
Leonardo Ortega, Georgia Institute of Technology
Derek Ozkal, Ewing Marion Kauffman Foundation
Anna A. Pechenina, Ewing Marion Kauffman Foundation
Xincheng Qiu, University of Pennsylvania
Chhavi Rastogi, HEC Paris
S. Abraham (Avri) Ravid, Yeshiva University
Maria P. Roche, Harvard University
Julius Rueschenpoehler, University of California, Berkeley
Sarada Sarada, University of Wisconsin–Madison
Rachel Schuh, Stanford University
Simin Seury, York University
Yuan Shi, University of Michigan
Seowon Shin, University of Washington
Neil Thompson, Massachusetts Institute of Technology
Yusuke Tsujimoto, University of Alberta
Prabhava Upadrashta, Duke University
Rodrigo A. Wagner, Tufts University
Simon Wakeman, New Zealand Ministry of Business, Innovation & Employment
Melanie Wallskog, Stanford University
Chunbei Wang
Lucy Xiaolu Wang, Max Planck Institute for Innovation and Competition, Germany
Verena C. Wiedemann, University of Oxford
Sheryl Winston Smith, BI Norwegian Business School
Nataliya L. Wright, Harvard University
Jane Wu, Massachusetts Institute of Technology
Ruichi Xiong, University of Toronto
Jiajie Xu, Boston College
Sophia Xue, University of Maryland
Zhen Ye, University of Maryland-College Park
Jonathan Zandberg, Boston College
Jingxuan Zhang, Boston College
Bilal Zia, The World Bank

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