Dr. Morrison is an economist with expertise in financial analysis, causal inference, and policy evaluation.
Philadelphia
Dr. Morrison has conducted deep research in applied empirical economics. In one paper, he investigates the impact of market concentration on the division of surplus between the borrower and lender in small business loan markets by utilizing a newly developed two-dimensional bunching estimator. In another paper, he uses an event-study design to analyze the impact of corporate congressional campaign contributions on the value of the contributing firm.
Dr. Morrison earned his Ph.D. in Economics from Princeton University. Dr. Morrison also served as a teaching assistant in each of the Department of Economics, the Bendheim Center for Finance and the School of Public and International Affairs.
Statistics Tools Chart A Path For AI Use In Expert Testimony
As AI and machine learning tools become more common in expert workflows, courts are increasingly scrutinizing their use under Federal Rule of Evidence 702. In The Risks and a Path Forward for AI and Machine Learning Tools in Expert Testimony, we examine recent cases where AI-assisted opinions were excluded due to concerns about reliability, transparency, and expert understanding.
In this GIR article, Stephen Millington and Dominique Dondelinger examine the growing fraud risks facing the Gulf region amid rapid economic expansion and transformative Vision 2030 strategies.
Public Cos. Must Heed Disclosure Risks Amid Trade Chaos
Ongoing uncertainties caused by the trade war and President Donald Trump’s evolving stance on tariffs and trade restrictions, including sanctions and export controls, have exponentially escalated financial reporting pressures on public companies. In this article, we discuss the key financial reporting and disclosure risks, as well as takeaways, for public companies as they navigate significant market instability in international trade.