Lanier Benkard

The Gregor G. Peterson Professor and Professor of Economics
The Chai-Siriwatwechakul Faculty Fellow for 2024–2025
Academic Area:
Lanier Benkard

Bio

C. Lanier Benkard is The Gregor G. Peterson Professor and Professor of Economics at Stanford Graduate School of Business, where he teaches courses in industrial organization and econometrics. Before coming to Stanford in 1998, he received his PhD in Economics from Yale University (1998). He has also been a visiting scholar at the Federal Reserve Bank of San Francisco (2005-06) and the University of California at Berkeley (2006).

Professor Benkard’s research is in the areas of empirical industrial organization (IO), applied microeconomics, and econometrics, and concentrates on applying microeconomic and game theoretic models to the study of individual markets. His recent work has focused on developing methods that allow us to analyze IO models empirically. This includes theoretical work on how to estimate demand systems and dynamic oligopoly models, as well as empirical work that uses these techniques to analyze different industries. The recent empirical work includes studies of learning by doing in the commercial aircraft industry, and studies of the demand for personal computers, and of airline mergers.

Professor Benkard is a faculty research fellow at the National Bureau of Economic Research and is a member of the American Economic Association and the Econometric Society, and has organized conferences for numerous other professional organizations, including the EEA, INFORMS, NBER, SCE, and SITE.

At Stanford, Benkard teaches a course on applied statistics and decision theory in the first year MBA core, as well as PhD courses in Econometrics and Industrial Organization. He also advises PhD students, and several of his former students are now faculty at leading economics departments and business schools.

Academic Degrees

  • PhD in Economics, Yale University, 1998
  • MPhil in Economics, Yale University, 1996
  • MA in Economics, University of Toronto, 1991
  • BSc in Economics & Math, University of Toronto, 1990

Academic Appointments

  • At Stanford since 1998.
  • Professor of Economics, Yale University, 2009–11

Awards and Honors

  • Business School Trust Faculty Fellow, 2023–24
  • Graduate School of Business Trust Faculty Fellow, 2016–17
  • James & Doris McNamara Faculty Fellow, 2014–15

Service to the Profession

    • Research Associate, NBER, 2009-present
    • Associate Editor, RAND Journal of Economics, 2006-present

    Research Statement

    Professor Benkard’s research is in the areas of industrial organization, applied microeconomics, and econometrics. His research involves applying microeconomic and game theoretic models to the study of individual markets. His recent work has focused on empirical applications of dynamic oligopoly, and he has recently studied the commercial aircraft and personal computer industries.

    Journal Articles

    Lanier Benkard, Przemyslaw Jeziorski, Gabriel Weintraub
    The RAND Journal of Economics
    October 2015 Vol. 46 Issue 4 Pages 671–708
    Gabriel Weintraub, Lanier Benkard, Ben Van Roy
    Journal of Economic Theory
    September 2011 Vol. 146 Issue 5 Pages 1965–1994
    Gabriel Weintraub, Lanier Benkard, Benjamin Van Roy
    Operations Research
    June 3, 2010 Vol. 58 Issue 4 Pages 1247–1265
    Gabriel Weintraub, Lanier Benkard, Ben Van Roy
    Econometrica
    November 2008 Vol. 76 Issue 6 Pages 1375–1411
    Patrick Bajari, Lanier Benkard, Jonathan Levin
    Econometrica
    September 2007 Vol. 75 Issue 5 Pages 1331–1370
    Lanier Benkard
    Review of Economic Studies
    2004 Vol. 71 Issue 3 Pages 581-611
    Lanier Benkard
    American Economic Review
    2000 Vol. 90 Issue 4 Pages 1034-1054

    Working Papers

    Lanier Benkard, Aaron Bodoh-Creed, John Lazarev April 2014

    Insights by Stanford Business

    April 01, 2004
    A new study concludes that the losses buyers incur are offset in the larger economy by the gains accrued by sellers.

    School News

    March 10, 2023
    A core course for first-year MBA students takes the mystery out of regression analysis.
    May 14, 2019
    Meet three graduates of an innovative Stanford GSB program designed to create a path for women and minorities in business academia.