Published or Forthcoming Papers
We investigate the strict exogeneity assumption, a necessary condition for estimator consistency in many finance panel settings. We outline tests for strict exogeneity in both traditional (non-IV) and IV settings. When we apply these tests in common traditional finance panel regressions, we find that the strict exogeneity assumption is often rejected, suggesting large inference errors. We test for strict exogeneity in specific finance IV panel settings and illustrate the potential for these tests to help confirm, or rule out, the validity of common panel IV estimators. We offer a set of recommendations to address the strict exogeneity issue in finance research.
♦ Presented at the 2015 London Business School Symposium on Causal Inference, the 2016 Financial Research Association conference in Las Vegas, Iowa University, and the University of Nebraska
We study the relation between investment behavior and competitor financial constraints. Using inter-firm patent citations and text-based product market similarities to identify intransitive competitor networks, we find that firms increase investment spending, patenting activity, and employee poaching when competitor constraints become more binding. In addition, firms shift their investment composition (product market and patent portfolios) towards competitors who experience a relative tightening in constraints. These effects are robust to controlling for selection and correlated effects across competitors. To mitigate endogeneity concerns, we exploit the 2004 AJCA tax holiday and the 1989 junk bond crisis as exogenous shocks to competitor constraints and find similar effects.
♦ Presented at the 2017 American Finance Association meetings in Chicago, Texas Christian University, the University of Texas at Austin, Michigan State University, and the 2015 Midwest Finance Association
Firm clustering is positively correlated with productivity, and it exhibits significant cross-sectional variation across industries. Thus, it is important to understand the industry characteristics that drive firms’ decisions to co-locate. We develop a model of knowledge sharing and derive the prediction that riskier and more complex industries experience the greatest gains from knowledge spillovers. Using tests that account for the nonrandomness of location decisions, we find a strong positive relationship between industry risk or complexity and the clustering of: 1) firms’ headquarters, 2) patent inventors, and 3) R&D expenses. Customer–supplier proximity is also significantly and positively related to industry risk and complexity.
♦Presented at the 2016 Regional Science Association International Conference, Michigan State University, and Tulane University
Product Differentiation, Benchmarking, and Corporate Fraud with Audra Boone, Rachel Li, and Parth Venkat
We find that firms with less product market differentiation exhibit significantly lower rates of fraudulent activity. This relationship is more pronounced for complex firms and is robust to controlling for various measures of competition and industry heterogeneity. Exploiting IPOs by product-market rivals as a shock to a firm’s information environment, we find that greater publicly available information from comparable firms facilitates the detection of fraud. Moreover, this effect is stronger for firms with ex ante less similar public rivals. These findings suggest that greater product market overlap with rivals disciplines firms by providing benchmarks for auditors, regulators, and investors.
♦Best Paper Award at the New Zealand Finance Meeting (2018). Also presented at Clemson University, Drexel University, Michigan State University, Southern Methodist University, the University of Nevada Las Vegas, the 2018 Financial Management Association (best paper semi-finalist), the SEC, and the Australasian Finance and Banking Conference
We develop a new measure of integrity as it relates to corporate culture : the number of employees who use corporate emails to register for a website that facilitates extramarital affairs. This measure is associated with firm-level unethical behavior: it predicts a greater probability of SEC enforcement actions for accounting misstatements, and lower corporate ethics ratings by external analysts. However, consistent with research in psychology, we find that the measure also predicts more innovation and risk-taking. Our results suggest that it is difficult to engineer a perfect corporate culture due to potential trade-offs between employee creativity, risk-taking, and integrity.
♦ Presented at the Gaidar Institute for Economic Problems, Rice University, Iowa University, the University of Georgia, the 2017 Financial Management Association, and the 2017 Midwest Finance Association
Work in Progress
This paper uses the introduction of Transportation Networking Companies (TNC), such as Uber, to show that access to flexible sources of income facilitates entrepreneurship. TNCs give prospective entrepreneurs the ability to earn a substantive wage, which provides the financial assurance to start their new businesses. Because hours are set independently, entrepreneurs also maintain the temporal flexibility to work the unpredictable hours that characterize new ventures. We employ a difference-in-differences approach that exploits variation in the timing and location of TNC introductions and find evidence that the introduction of TNCs increases young firm employment and proprietorship. We also present survey-based evidence consistent with these findings; TNCs have provided artists, musicians, engineers and other entrepreneurs the financial and temporal flexibility to pursue their passions.