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Assistant Professor
Columbia Business School Columbia University tb2707@columbia.edu
Google scholar: scholar.google.com/citations?user=anvHyVwAAAAJ Twitter: @TaniaBabina LinkedIn: linkedin.com/in/TaniaBabina Research Interests
Empirical Corporate Finance, Labor and Finance, Entrepreneurship, Innovation, and New Technology Adoption |
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About my Research
My research is at the juncture of corporate finance, labor and finance, entrepreneurship, and innovation. I am interested in the drivers of new innovations, technology adoption and entrepreneurship, and their economic impact.
Labor & Finance Online Seminar
I am co-organizing Labor & Finance Online Seminar (LFOS) with Jessica Jeffers (Booth), David Matsa (Kellogg), and Elena Simintzi (UNC). Visit the LFOS's web page for details:
Labor & Finance Online Seminar
I am co-organizing Labor & Finance Online Seminar (LFOS) with Jessica Jeffers (Booth), David Matsa (Kellogg), and Elena Simintzi (UNC). Visit the LFOS's web page for details:
Labor & Finance Online Seminar
Publications
Destructive Creation at Work: How Financial Distress Spurs Entrepreneurship (Online Appendix); the Review of Financial Studies, 2020
Heterogeneous Taxes and Limited Risk Sharing: Evidence from Municipal Bonds, with Pab Jotikasthira (SMU), Chris Lundblad (UNC), and Tarun Ramadorai (Imperial College); the Review of Financial Studies, 2021
Destructive Creation at Work: How Financial Distress Spurs Entrepreneurship (Online Appendix); the Review of Financial Studies, 2020
- AFA; WFA; Tel Aviv Finance Conference; Economics of Entrepreneurship and Innovation Conference; Mitsui Labor and Finance Symposium 2017; Finance, Organizations & Markets Conference (FOM); EFA; Annual Meetings of the Society of Labor Economics; Labor and Finance Group
- Using U.S. Census firm-worker data, I document that firms' financial distress has an economically important effect on employee departures to entrepreneurship. The impact is amplified in the high-tech and service sectors, where employees are key assets. In states with enforceable noncompete contracts, the effect is mitigated. Compared to typical entrepreneurs, distress-driven entrepreneurs are high-wage workers who found better firms, as measured by jobs, pay, and survival. Startup jobs compensate for 33% of job losses at the constrained incumbents. Overall, the financial inability of incumbent firms to pursue productive opportunities increases the reallocation of economic activity into new firms.
Heterogeneous Taxes and Limited Risk Sharing: Evidence from Municipal Bonds, with Pab Jotikasthira (SMU), Chris Lundblad (UNC), and Tarun Ramadorai (Imperial College); the Review of Financial Studies, 2021
- AFA; EFA; Fourth Annual Municipal Finance Conference; Adam Smith Workshops in Asset Pricing and Corporate Finance; SFS Finance Cavalcade
- We evaluate the impacts of tax policy on asset returns using the U.S. municipal bond market. In theory, tax-induced ownership segmentation limits risk-sharing, creating downward-sloping regions of the aggregate demand curve for the asset. In the data, cross-state variation in tax privilege policies predicts differences in in-state ownership of local municipal bonds; the policies create incentives for concentrated local ownership. High tax privilege states have muni bond yields that are more sensitive to variations in supply and local idiosyncratic risk. The effects are stronger when local investors face correlated background risk and/or diminishing marginal non-pecuniary benefits from holding local assets.
Working Papers
Crisis Innovation, with Asaf Bernstein (Colorado) and Filippo Mezzanotti (Northwestern), conditionally accepted by the Review of Financial Studies
The Color of Money: Federal vs. Industry Funding of University Research, with Alex Xi He (University of Maryland), Sabrina Howell (NYU), Elisabeth Perlman (U.S. Census Bureau), Joseph Staudt (U.S. Census Bureau), revision requested by the Quarterly Journal of Economics
Entrepreneurial Spillovers from Corporate R&D, with Sabrina Howell (NYU), revision requested by the Journal of Labor Economics
Customer Data Access and Fintech Entry: Early Evidence from Open Banking, with Greg Buchak (Stanford) and Will Gornall (UBC)
Artificial Intelligence, Firm Growth, and Product Innovation, with Anastassia Fedyk (University of California, Berkeley), Alex He (University of Maryland), James Hodson (Jozef Stefan International Postgraduate School)
Firm Investments in Artificial Intelligence Technologies and Changes in Workforce Composition, with Anastassia Fedyk (University of California, Berkeley), Alex He (University of Maryland), James Hodson (Jozef Stefan International Postgraduate School)
IPOs, Human Capital, and Labor Reallocation, with Paige Ouimet (UNC) and Rebecca Zarutskie (Fed Board)
Pay, Employment, and Dynamics of Young Firms, with Wenting Ma (Umass), Chris Moser (Columbia), Paige Ouimet (UNC), Rebecca Zarutskie (Fed Board)
Friends during Hard Times: Evidence from the Great Depression, with Diego Garcia (U Colorado) and Geoff Tate (U Maryland)
Crisis Innovation, with Asaf Bernstein (Colorado) and Filippo Mezzanotti (Northwestern), conditionally accepted by the Review of Financial Studies
- Online Appendix A; Online Appendix B
- NBER SI Development of American Economy; AFA; EFA; WFA; NBER (Productivity, Innovation, Entrepreneurship); Virtual Economic History Seminar; Workshop on Entrepreneurial Finance and Innovation; Stanford; Northwestern; UC-Berkley; University of Virginia; University of Auburn; WFA (AFFECT); Labor and Finance conference in Chicago; Michigan State University; Conference; Minnesota junior conference; HEC Entrepreneurship Conference; UT Dallas Conference; University of Auburn; University of Colorado; the Third Junior Entrepreneurial Finance and Innovation Workshop
- We examine innovation after the Great Depression using data on a century’s worth of U.S. patents and a difference-in-differences design that exploits regional variation in the severity of the economic crisis. Harder-hit areas experienced large and persistent declines in independent patenting, which lasted for the next 70 years. This decline was larger for young and inexperienced inventors and lower-quality patents. In contrast, large firms had relative innovation increases, especially for inventors with the largest declines in independent patenting. Overall, the Great Depression contributed to the decline in technological entrepreneurship and accelerated the shift of innovation into larger firms.
The Color of Money: Federal vs. Industry Funding of University Research, with Alex Xi He (University of Maryland), Sabrina Howell (NYU), Elisabeth Perlman (U.S. Census Bureau), Joseph Staudt (U.S. Census Bureau), revision requested by the Quarterly Journal of Economics
- AEA; NBER SI Science of Science Funding; NBER Productivity, Innovation and Entrepreneurship; Virtual Finance in the Cloud conference; NSF
- U.S. universities have experienced a shift in research funding away from federal and towards private industry sources. This paper evaluates whether the source of funding – federal or private industry – is relevant for commercialization of research outputs. We link person-level grant data from 22 universities to patent and career outcomes (including IRS W-2 records). To identify a causal effect, we exploit individual-level variation in exposure to narrow federal R&D programs stemming from pre-existing field specialization. We instrument for the researcher's funding sources with aggregate supply shocks to federal funding within these narrow fields. The results show that a higher share of federal funding reduces patenting and the chances of joining an incumbent firm, while increasing the chances of high-tech entrepreneurship and of remaining employed in academia. A decline in the federal share of funding is offset by an increase in the private share of funding, which has opposite effects. We conclude that the incentives of private funders to appropriate research outputs have important implications for the trajectory of university researcher careers and intellectual property.
Entrepreneurial Spillovers from Corporate R&D, with Sabrina Howell (NYU), revision requested by the Journal of Labor Economics
- AEA; Five-Star NYU; Stanford Financing of Innovation Summit; NBER Corporate Finance; LBS Summer Symposium; UW Summer Finance Conference; Yale Junior Conference; WFA-AFFECT; Junior Entrepreneurial Finance and Innovation Workshop
- This paper offers the first study of how changes in corporate R&D investment affect labor mobility. We document that increases in firm R&D have no measurable effect on employee mobility to other incumbent firms or on exit from employment, but do spur employee departures to join the founding teams of startups. These startups are more likely to be outside the R&D-investing employer’s industry, suggesting that the ideas moving via employees to startups would impose diversification costs on the parent. These startups also likely generate substantial spillover benefits, as they are more likely to be VC-backed, high-tech, and high-wage.
Customer Data Access and Fintech Entry: Early Evidence from Open Banking, with Greg Buchak (Stanford) and Will Gornall (UBC)
- NBER SI Corporate Finance (scheduled); FIRS (scheduled); EFA (scheduled); Esade Spring Workshop (Barcelona); NBER Economics of Privacy Conference; UBC Winter Finance Conference; Columbia; Stanford; UBC; Universidad Carlos III de Madrid; USC
- Open banking is the trend of empowering customers to share their banking data with fintechs and other banks. We compile a novel dataset documenting that governments in 49 countries have implemented open banking policies and 31 more are in active discussions. Following adoption, fintech venture capital investment increases by 50%, with more comprehensive policies showing larger effects. We examine the policy tradeoffs with a quantitative model of consumer data production and usage. Our calibrations show that customer-directed data sharing increases entry by improving entrant screening ability and product offerings, but harms some customers and can reduce ex-ante information production.
Artificial Intelligence, Firm Growth, and Product Innovation, with Anastassia Fedyk (University of California, Berkeley), Alex He (University of Maryland), James Hodson (Jozef Stefan International Postgraduate School)
- FIRS (scheduled); EFA (scheduled); AFA; NBER Corporate Finance; Finance, Organizations and Markets (FOM) Research conference (scheduled); NBER SI Macroeconomics and Productivity; Labor and Finance conference, AFFECT
- We study the use and economic impact of artificial intelligence (AI) technologies among U.S. firms. We propose a new measure of firm-level AI investments, using a unique combination of detailed worker resume and job postings datasets. Our measure reveals a stark increase in AI investments across sectors in the last decade. AI-investing firms see higher growth in sales, employment, and market valuations. We use a novel identification strategy, instrumenting firm-level AI investments with firms' ex-ante exposure, based on alumni networks, to the supply of AI-skilled labor from universities historically strong in AI research. The positive growth effect of AI comes primarily through increased product innovation, reflected in trademarks, product patents, and updates to product portfolios. AI-powered growth concentrates among the ex-ante largest firms, leading to higher industry concentration and reinforcing winner-take-most dynamics. Our results highlight that new technologies can contribute to growth through product innovation.
Firm Investments in Artificial Intelligence Technologies and Changes in Workforce Composition, with Anastassia Fedyk (University of California, Berkeley), Alex He (University of Maryland), James Hodson (Jozef Stefan International Postgraduate School)
- NBER CRIW Conference on Technology, Productivity, and Economic Growth
- We study the shifts in U.S. firms’ workforce composition and organization associated with the use of AI technologies. To do so, we leverage a unique combination of worker resume and job postings datasets to measure firm-level AI investments and workforce composition variables, such as educational attainment, specialization, and hierarchy. We document that firms with higher initial shares of highly-educated workers and STEM workers invest more in AI. As firms invest in AI, they tend to transition to more educated workforces, with higher shares of workers with undergraduate and graduate degrees, and more specialization in STEM fields and IT and analysis skills. Furthermore, AI investments are associated with a flattening of the firms’ hierarchical structure, with significant increases in the share of workers at the junior level and decreases in shares of workers in middle-management and senior roles. Overall, our results highlight that adoption of AI technologies is associated with significant reorganization of firms’ workforces.
IPOs, Human Capital, and Labor Reallocation, with Paige Ouimet (UNC) and Rebecca Zarutskie (Fed Board)
- AFA; Texas Finance Festival; NBER Entrepreneurship Working Group; Dartmouth PE and Entrepreneurship conference; SFS Finance Cavalcade; Changing Role of Stock Markets in Capital Formation - NYU; Annual Meetings of the Society of Labor Economics; Darden & Cambridge Judge Entrepreneurship and Innovation Research Conference
- We examine the human capital of IPO-filing firms and how going public affects their labor force. IPO-filing firms have high average wages and limited industrial diversification. Moreover, we document that a successful IPO increases departures of high-skilled employees to startups and diversification though employment growth in non-core industries. While IPOs do not significantly affect earnings growth of pre-IPO workers, post-IPO hires receive larger earnings increases upon joining. These results are most consistent with agency mechanisms associated with the transition to public ownership. Overall, going public has significant implications for the firms’ overall labor force, the firm, and labor reallocation.
Pay, Employment, and Dynamics of Young Firms, with Wenting Ma (Umass), Chris Moser (Columbia), Paige Ouimet (UNC), Rebecca Zarutskie (Fed Board)
- AEA; AFA; Mitsui Labor and Finance Symposium; 24th SOLE Annual Meeting; the 2018 Columbia Junior Entrepreneurship and Innovation Workshop; the 2018 UNC Kenan Institute Frontiers of Entrepreneurship Conference; the 14th Annual FIRS Finance Conference; Columbia Junior Micro Macro Labor Conference; 4th Rome Junior Finance Conference
- Why do young firms pay less? Using confidential microdata from the US Census Bureau, we find lower earnings among workers at young firms. However, we argue that such measurement is likely subject to worker and firm selection. Exploiting the two-sided panel nature of the data to control for relevant dimensions of worker and firm heterogeneity, we uncover a positive and significant young-firm pay premium. Furthermore, we show that worker selection at firm birth is related to future firm dynamics, including survival and growth. We tie our empirical findings to a simple model of pay, employment, and dynamics of young firms.
Friends during Hard Times: Evidence from the Great Depression, with Diego Garcia (U Colorado) and Geoff Tate (U Maryland)
- AEA; Corporate Finance Conference (Wash-U); EFA; LBS Summer Finance Symposium; FIRS; Financial Institutions, Regulation & Corporate Governance (FIRCG) Conference; Spring Finance Conference at the UT-Dallas
- Using a novel dataset of over 3500 public and private firms, we construct the network of firm connections through executives and directors on the eve of the 1929 financial market crash. We find that more connected firms have 17% higher 10-year survival rates on average. Consistent with a role in facilitating access to working capital, the results are particularly strong for small firms, private firms, cash-poor firms, and firms located in counties with high bank suspension rates during the crisis. Moreover, connections to cash-rich firms that increase their accounts receivable during the peak of the crisis are most important for survival. Our results suggest that network connections can play a stabilizing role during a financial crisis by easing the flow of capital to constrained firms.
Work-in-Progress
Does Antitrust Enforcement Affect Industry Dynamics? Evidence from 40 Years of US DOJ Lawsuits, with Simcha Barkai (BC), Jessica Jeffers (Chicago), Ezra Karger (Chicago), and Ekaterina Volkova (U Melbourne) (draft coming soon)
Does Antitrust Enforcement Affect Industry Dynamics? Evidence from 40 Years of US DOJ Lawsuits, with Simcha Barkai (BC), Jessica Jeffers (Chicago), Ezra Karger (Chicago), and Ekaterina Volkova (U Melbourne) (draft coming soon)
- University of Warwick; Labor and Finance conference; Junior Entrepreneurial Finance/Innovation Lunch Group; Columbia Women Economists Seminar series
- We construct a comprehensive dataset of antitrust lawsuits filed by the Department of Justice (DOJ) between 1980 and 2018, that includes the geographic scope and industries of the targeted companies. We find a continued secular decline in the number of antitrust lawsuits filed by the DOJ relative to the early 1980s, with wide variation across industries. We use this new dataset to study the systematic effect of antitrust lawsuits on industry dynamics, as measured by employment growth. We compare the employment growth of a nontradable industry located in a particular state that is the target of a DOJ lawsuit with the same non-tradable industry located in other states. In an event-study framework, we find that employment is relatively stable in the years leading up to antitrust lawsuits, but increases significantly in the years immediately following the lawsuit. The effect is stronger for local lawsuits and lawsuits remedying older violations. Our results suggest that antitrust enforcement has an important role in curbing anticompetitive behavior by firms and has a positive effect on aggregate outcomes.