Brett Saraniti
Brett Saraniti

MANAGERIAL ECONOMICS & DECISION SCIENCES
Visiting Professor of Managerial Economics & Decision Sciences

Print Overview

Brett Saraniti received his PhD in Managerial Economics and Decision Sciences from the Kellogg School of Management at Northwestern University in 1997.

Print Vita
Education
Ph.D., 1997, Managerial Economics and Decision Sciences, Northwestern University
B-Sci, 1992, Mathematics, Harvey Mudd College

Academic Positions
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

Honors and Awards
Chairs, Kellogg School of Management, 2000-2001

Print Research
Books
Klibanoff, Peter, Boaz Moselle, Brett Saraniti and Alvaro Sandroni. 2006. Managerial Statistics: A Case-Based Approach. Mason, OH: Cengage Learning (formerly Thomson South-Western).
Cases
Saraniti, Brett. 2008. The Hawaiian Airline Industry, 2001–2008. Case 5-108-005 (KEL351).

 
Print Teaching
Full-Time / Evening & Weekend MBA
Business Analytics I (DECS-430-5)
This course was formerly known as DECS 430-A/DECS 430-B
This course is equivalent to the MMM core course MMM Business Analytics (DECS-440) 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.

Full-Time students are required to complete the Business Analytics Prep Course

Part-Time Students are required to complete the Business Analytics Prep Course

Business Analytics II (DECS-431-0)

This core course is equivalent to the course DECS-440 (MMM Business Analytics).

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 (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.

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.

Competitive Strategy and Industrial Structure (MECN-441-0)
The course studies the determinants nature of competitive strategy in a variety of industry structures. The course considers how the structure of a firm's industry affects its strategic choices and performance. Topics include the dynamic aspects of pricing, entry and predation in concentrated industries, and product differentiation, product proliferation and innovation as competitive strategies.