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 Diploma from the University of Cologne.

Health Economics; Industrial Organization; Applied Econometrics

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

Analytics for Strategy (STRT-469-0)
This course is an advanced analytics elective that uses data to inform strategic decisions. Should a fast food chain enter the highly profitable breakfast market segment? Not if the incumbents will respond by competing aggressively. Can a bank raise profits by attracting more customers through generous loan terms? Not if it inadvertently attracts risky customers. Data-driven analyses of such issues require going beyond statistically significant relationships (profitability in current market conditions, overall demand for generous loans) to assess underlying cause and effect. The course tackles a broad range of topics in competitive strategy, such as product portfolios (is it profitable to enter a rival's niche?), personnel (do workplace perks reduce absenteeism?), and cost reduction (is it profitable to adopt a new technology?). Students will learn through hands-on experience with performing advanced regression analyses and interpreting their results.Students who have not taken the pre-requisite, DECS 431 Business Analytics II, but have knowledge in regression and coding, can reach out to the instructor for a pre-requisite waiver