Experts in Economics & Statistics

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Ian Finn, Ph.D

 

Ian Finn is an economist at the Los Angeles office of Welch Consulting. He received an M.A. and Ph.D. in economics from the University of California, Irvine, and a B.A. in Economics and International Studies from Boston College. During graduate school Dr. Finn’s research focused on Economic History and Applied Microeconomics. His dissertation examined coercive labor institutions, such American slavery, and the broader economic costs they imposed. This research was supported by various grants and fellowships, including the Herbert F. York Global Security Dissertation Fellowship, the All-UC Group in Economic History Research Fellowship, and the UCI Center for Citizen Peacebuilding’s Kugelman Research Fellowship. He is also a member of the American Economic Association, Golden Key International Honours Society and Omicron Delta Epsilon.

Before joining Welch Consulting, Dr. Finn worked as a researcher at the Beacon Hill Institute of Suffolk University, where he conducted public policy analysis on issues such as Medicaid spending, gasoline taxation and state competitiveness. During his graduate studies Dr. Finn served as an instructor for an undergraduate international economics course, as well as a teaching assistant for undergraduate applied microeconomics, macroeconomics and applied econometrics courses. Before beginning graduate study, Dr. Finn worked as a financial representative at Northwestern Mutual, where he developed strategies for risk management and wealth accumulation for a personal network of clients.  

SELECTED CASEWORK

Case Manager, Race Discrimination:Class action suit alleging race discrimination in an international information technology firm. Supervised and performed statistical analyses of hiring selections by recruitment source.

Case Manager, Wage & Hours: Analyzed collective action claims of unpaid overtime under the FLSA involving a Florida sheriff’s department. Estimated potential weekly unpaid overtime hours worked and damages under various assumptions.