Brett Saraniti
Clinical Professor of Managerial Economics & Decision Sciences
Brett Saraniti received his PhD in Managerial Economics and Decision Sciences from the Kellogg School of Management at Northwestern University in 1997. His dissertation chair was Roger Myerson, Nobel Laureate 2007. He is currently a Clinical Professor of Managerial Economics and Decision Sciences at Kellogg.
Brett has taught MBA and executive courses at Kellogg every summer since 1995 where he has been honored with four teaching awards for three different courses. He has also taught in the Kellogg-Recanati program in Tel Aviv, the Kellogg-Schulich program in Toronto, The Kellogg-Guanghua program in Beijing, and the Kellogg-HKUST program in Hong Kong. Brett was a visiting professor at INSEAD every year from 2008-17 winning the Best Teacher Award for the Core Classes in September 2008. He has been a visitor at the Sasin Graduate Institute in Bangkok, Thailand; IESE in Barcelona; the Brisbane Graduate School of Business in Queensland, Australia; the Thunderbird School of Global Management; TECNUN in San Sebastian, Spain; The Bloch School at UMKC; Stanford; UC Davis; and the Helsinki School of Economics and Business Administration in Finland. He has also delivered executive management seminars at Seminarium International in both Chile & Costa Rica and Seminarium Mexico.
He has also worked, taught, and/or consulted for McKinsey & Company, Xerox Corporation, Hiscox Insurance, Allianz, Chevron Oil Field Research, LG Electronics, Cantor Fitzgerald/Hollywood Stock Exchange, Inigo Insurance, Alstom, Swire, FEMSA, EVRAZ N.A., HP, UNext, Love & Kirschenbaum LLC (expert witness), Maclean-Fogg, Trunk Club, MRJ Technologies, Suncloud Health, Chipin.com, Carddomains.com, Lee Ceramics, and Surflight Hawaii. He is on the corporate advisory board of Sprint Milestone, a data analytics consultancy based in Hong Kong.
Brett spends most of his time with his wife Samantha and their three children Francesca, Carlo & Enzo who enjoy beating him at pretty much everything.
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Ph.D., 1997, Managerial Economics and Decision Sciences, Northwestern University
B-Sci, 1992, Mathematics, Harvey Mudd College -
Professor of Economics and Quantitative Methods, Hawaii Pacific University, 1997-present
Visiting Professor of Managerial Economics, Kellogg School of Management, Northwestern University, 1997-present
Visiting Professor, INSEAD, 2008-2009 -
Chair Core Teaching Award
Sidney J. Levy Teaching Award
Chair Core Teaching Award
PhD Teaching Award
Field Study (MECN-498-0)
Field Studies include those opportunities outside of the regular curriculum in which a student is working with an outside company or non-profit organization to address a real-world business challenge for course credit under the oversight of a faculty member.
Competitive Strategy and Industrial Structure (MECN-441-0)
This course studies competitive strategy: interactions between firms in concentrated industries. The focus is on strategies for softening price competition and on how industry fundamentals influence the effectiveness of those various strategies. Topics include product positioning, product proliferation, dynamic aspects of pricing, price discrimination strategies (e.g., coupons and loyalty programs), entry into an industry, and responding to entry attempts. A common theme is that the success or failure of a strategy often depends on how your competitors will respond. As a result, what may be a winning strategy for a monopolist can sometimes backfire in an oligopoly. The course will mix lectures and case studies, as well as both qualitative and quantitative components. Evaluation will be primarily based on homework assignments, exams (a final and a midterm), and a term paper that will be written in teams.
Microeconomic Analysis (MECN-430-0)
1Ys: This course is either waived during the admissions process or completed during the Summer term. Among the topics this core course addresses are economic analysis and optimal decisions, consumer choice and the demand for products, production functions and cost curves, market structures and strategic interactions, and pricing and non-price concepts. Cases and problems are used to understand economic tools and their potential for solving real-world problems.
Business Analytics (DECS-440-0)
Analytics is the discovery and communication of meaningful patterns in data. This course begins by providing students with an analytics toolkit, reinforcing basic probability and statistics while emphasizing the value and pitfalls of reasoning with data. Then the course extends the statistical techniques to allow for the exploration of relations between variables, primarily through multivariate regression. In addition to learning basic regression skills, including modeling and estimation, students will deepen their understanding of hypothesis testing and how to make inferences and predictions from data. Students will also learn new principles such as identification and robustness. The course has an intense focus on managerially relevant applications, cases, and interpretations, with an emphasis on connections among analytical tools, data, and business decision-making.
Business Analytics II (DECS-431-0)
This sequel to DECS-430 extends the statistical techniques learned in that course to allow for the exploration of relationships between variables, primarily through multivariate regression. In addition to learning basic regression skills, including modeling and estimation, students will deepen their understanding of hypothesis testing and how to make inferences and predictions from data. Students will also learn new principles such as identification and robustness. The course has an intense focus on managerial relevant applications, cases and interpretations.
Business Analytics I (DECS-430-5)
This course was formerly known as DECS 430-A/DECS 430-B
Analytics is the discovery and communication of meaningful patterns in data. This course will provide students with an analytics toolkit, reinforcing basic probability and statistics while throughout emphasizing the value and pitfalls of reasoning with data. Applications will focus on connections among analytical tools, data, and business decision-making.
