Peter C. Reiss

Research Statement

Peter Reiss is an industrial organization economist and applied econometrician. His research studies how technology, consumer tastes, and industry structure affect firms’ competitive positions. In recent work, he has examined multi-part pricing policies, strategic entry and entry deterrence strategies, and the organization of securities, energy and airline markets. Professor Reiss also does research on statistical issues that arise in applied economic research.

Teaching Statement

Professor Reiss teaches MBA classes in entrepreneurship, including The Formation of New Ventures and the Venture Ideas Workshop. He also teaches PhD classes in the first-year econometrics sequence.

Bio

Peter Reiss is the MBA Class of 1963 Professor of Economics at the Stanford University Graduate School of Business. He has a courtesy appointment in the Stanford Economics Department. He received his MA, MPhil, and PhD in economics from Yale University, and a BA with honors in applied mathematics and economics from Brown University. He is the winner of a Sloan Fellowship and an NBER Olin Fellowship.

Professor Reiss is an applied microeconomist who specializes in industrial organization economics, a branch of economics that studies the activities of businesses. He also does research in econometrics, a branch of economics that uses probability and statistics to evaluate surveys, data, and economic variables. His published work has appeared in leading economics and econometrics journals, including the American Economic Review, the Journal of Political Economy, the Journal of Econometrics, the Review of Economic Studies, the Rand Journal, and the Journal of Finance. He has served on, or serves on, the editorial boards of major journals, including the American Economic Review, Applied Econometrics, the Brookings Papers on Micro-Economic Activity, Econometrica, the Journal of Econometrics, the Journal of Industrial Economics, Quantitative Marketing and Economics, and the Journal of Economic Literature. He has served as a reviewer for most major economics journals, major publishers, and government organizations. He also served two years on the National Science Foundation’s Economics Advisory Panel and has testified before the U.S. Antitrust Modernization Commission.

Academic Degrees

• PhD in Economics, Yale University, 1982
• MPhil, Yale University, 1979
• BA, Brown University, 1977

Academic Appointments

• At Stanford University since 1982
• Visiting Associate Professor, University of Wisconsin, 1993-1994
• Research Fellow, Alfred P. Sloan Foundation, 1988-1990
• Olin Fellow, National Bureau of Economic Research, 1987-1988
• Fletcher Jones Faculty Scholar, Stanford GSB, 1986-1988
• Center for Advanced Study in the Behavioral Sciences Fellow 2011-12

Awards and Honors

• Shanahan Family Faculty Fellow, 2018-2019
• PhD Faculty Distinguished Service Award, 2018

Teaching

Degree Courses

2018-19

STRAMGT 353: Entrepreneurship: Formation of New Ventures

This course is offered for students who at some time may want to undertake an entrepreneurial career by pursuing opportunities leading to partial or full ownership and control of a business. The course deals with case situations from the point of...

2017-18

MGTECON 605: Econometric Methods III

This course completes the first-year sequence in econometrics. It develops nonparametric, semiparametric and nonlinear parametric models in detail, as well as optimization methods used to estimate nonlinear models. The instructor will discuss...

OIT 249: MSx: Data and Decisions

Data and Decisions teaches you how to use data and quantitative reasoning to make sound decisions in complex and uncertain environments. The course draws on probability, statistics, and decision theory. Probabilities provide a foundation for...

STRAMGT 353: Entrepreneurship: Formation of New Ventures

This course is offered for students who at some time may want to undertake an entrepreneurial career by pursuing opportunities leading to partial or full ownership and control of a business. The course deals with case situations from the point of...

2016-17

OIT 249: MSx: Data and Decisions

Data and Decisions teaches you how to use data and quantitative reasoning to make sound decisions in complex and uncertain environments. The course draws on probability, statistics, and decision theory. Probabilities provide a foundation for...

STRAMGT 353: Entrepreneurship: Formation of New Ventures

This course is offered for students who at some time may want to undertake an entrepreneurial career by pursuing opportunities leading to partial or full ownership and control of a business. The course deals with case situations from the point of...

Executive Education & Other Non-Degree Programs

• Big Data, Strategic Decisions: Analysis to Action Harness the power of data analytics to improve decisions, gain a competitive edge, and enhance your company’s performance, products, and processes.
• Directors’ Consortium Learn leading-edge strategies, frameworks, and best practices for making complex and crucial board decisions in uncertain times.

Other Teaching

Executive Program in Strategy and Organization

In the Media

Real Energy Savers Don't Wear Cardigans. Or Do They?

New York Times, December 13, 2005