Dr. Dutra works on issues involving antitrust, competition, and merger cases in various countries and industries.
Washington, DC
Jéssica Dutra works with antitrust and competition over a wide range of industries, including healthcare, natural gas, copyright, and music. She specializes in the application of economic principles and state of the art quantitative methods in the context of litigation and damage calculation.
Dr. Dutra has taught advanced undergraduate courses in the economics of antitrust, industrial organization, and microeconomics at the University of Kansas. She is continuously engaged in both the academic and practitioner environments, serving on the American Bar Association, delivering presentations at economics conferences, publishing and peer reviewing papers on academic journals.
She is fluent in Portuguese and English, and advanced French and Spanish.
Understanding Difference-in-Differences and Choosing The Best Tool For Antitrust Economic Analyses
Econometrics, the application of statistical methods to economic data, can be instrumental in the identification of anticompetitive behavior by assisting in analyses including the assessment of market power, the evaluation of competitive effects resulting from alleged anticompetitive conduct, and the quantification of damages.
Secretariat Experts Contribute to “2024 Annual Review of Antitrust Law Developments”
Secretariat team members Stuart Gurrea, Jéssica Dutra, Wei Tan, Pablo Varas, and Noah Case have contributed to “Chapter I — Restraints of Trade” in the recently published “2024 Annual Review of Antitrust Law Developments” from the ABA Antitrust Law Section. Michael Koenig contributed to “Chapter VIII — Civil Government Enforcement”.
Litigating the Impact of Race: Lessons from SFFA v. U.S. Naval Academy
The recent ruling for defendants Students for Fair Admissions v. The United States Naval Academy, et al. (“SFFA v. USNA”) underscores the limitations of regression analysis when applied to complex, multifaceted decision-making processes like college admissions. Regression analysis is used to quantify the impact of alleged gender, ethnic, or racial discrimination on outcomes beyond college admissions, such as hiring decisions or loan approvals.