Frank Limbrock
Frank Limbrock

MANAGEMENT & STRATEGY; HEALTH ENTERPRISE MANAGEMENT
Visiting Assistant Professor of Management & Strategy
Postdoctoral Fellow Health Enterprise Management

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
Education
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

Articles
Dafny, Leemore S., David Dranove, 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.
AbstractLink
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.
AbstractLink
Working Papers
Limbrock, Frank. Branded-Generic Substitution and Copayments in Prescription Pharmaceuticals.
Limbrock, Frank. Treatment Differences in Cardiac Care: Does Insurance Type Matter?.

 
Print Teaching
Doctoral
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
Empirical Methods in Strategy (MGMT-469-0)

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

To develop and implement a business strategy, managers must make sense of massive amounts of information. Most managers (and the consultants they hire) can compute the means and standard deviations of individual variables, but few are adequately prepared to identify the relationships among variables or to interpret those relationships in the context of the underlying managerial issues. This "clinical" course provides that preparation. Through the development of rigorous statistical analysis skills linked to theoretical issues in management and strategy, students learn how to draw inference from data about real-world strategic issues. The instructor provides real-world data and offer close supervision as students design and execute their own analyses and prepare reports on their findings. Using sophisticated statistical software, students may estimate demand curves, identify opportunities for entry in growing markets, assess compatibility issues in high tech markets and perform benchmarking analyses. Students also read and discuss academic studies in management and strategy to identify best analytic practices.