Frank Limbrock
Frank Limbrock

Research Assistant Professor of Strategy

Print Overview

Frank Limbrock joined Kellogg in 2010. He is an applied microeconomist whose research focuses on health economics and industrial organization. His recent projects have examined the role of non-pecuniary incentives in prescription drug choice and substitution between branded and generic drugs.

Limbrock holds a PhD in Economics from Yale University, an MSc from the London School of Economics and a Diplom from the University of Cologne.

Print Vita
Ph.D., 2010, Economics, Yale University
M.Phil, 2006, Economics, Yale University
Diplom, 2003, Economics, University of Cologne
M.A., 2003, Economics, Yale University
MSc, 2002, Economics, London School of Economics

Print Research
Research Interests
Health Economics; Industrial Organization; Applied Econometrics

Dafny, Leemore S.,, Frank Limbrock and Fiona Scott Morton. 2011. Data Impediments to Empirical Work on Health Insurance Markets. B.E. Journal of Economic Analysis & Policy. 11(2): Article 8.
Limbrock, Frank. 2011. Pecuniary and Non-Pecuniary Incentives in Prescription Pharmaceuticals: The Case of Statins. The B.E. Journal of Economic Analysis & Policy. Vol. 11(Issue 2): (Advances) Article 1.
Working Papers
Limbrock, Frank. 2011. Branded-Generic Substitution and Copayments in Prescription Pharmaceuticals.
Limbrock, Frank. 2011. Treatment Differences in Cardiac Care: Does Insurance Type Matter?.

Print Teaching
Health Economics (MECS-451-0)
This course will expose students to both seminal and cutting edge research in health economics. The pedagogy includes lecture, student presentations of research papers, and original student projects. Prerequisites: ECON 410-1, 410-2, 410-3 (Microeconomics) MKTG 476-0 (Introduction to Applied Econometrics 1) MECS 477-0 (Introduction to Applied Econometrics 2)

Full-Time / Part-Time MBA
Analytics for Strategy (MGMT-469-0)

This course counts toward the following majors: Decision Sciences, Health Enterprise Management, Managerial Analytics, Management & Strategy.

Most strategic decisions businesses make require an assessment of cause and effect. What will happen to prices and sales if I open a new location in a particular geographic area? How will consumers respond if I begin posting the caloric content of my food products at the point of purchase? What is the effect of seasonal bonuses on employee productivity? This course is a deep dive into the empirical tool that is most valuable for linking cause to effect: regression analysis. You will learn how to perform convincing data analyses to answer specific questions, how to evaluate analyses others have done, and how to present data analysis in a clear and accessible way.

Students who took DECS 434 prior to the launch of DECS 431 (Fall 2013) must have permission of the instructor to enroll.