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Sridhar Narayanan

Associate Professor, Marketing
Sridhar Narayanan
Associate Professor of Marketing 
MBA Class of '69 Faculty Scholar for 2013-2014
Academic Area: 
Marketing

Research Statement

Sridhar Narayanan’s research focuses on empirical analysis of marketing problems, through the estimation of econometric models on behavioral data. One stream of his work has focused on consumer and firm decisions in situations of consumer uncertainty about new products. Specifically, his research has explored physician learning about new prescription drugs, the changes in the role and effectiveness of marketing communication for products over their life cycle, and the value of information to consumers in telecommunication markets. Another stream of his work has focused on measurement of casual effects. He has studied the application of Regression discontinuity designs to marketing, and causal installed base effects in social contexts. In recent work, he has been looking at causal effects in online advertising. A particular area of interest for Sridhar is the application of Bayesian econometric methods to problems in marketing and empirical industrial organization.

Bio

Sridhar Narayanan is an Associate Professor of Marketing at the Graduate School of Business, Stanford University. He received his PhD from the University of Chicago in 2005 and has been at Stanford since July 2005. Before his PhD, he worked as a Sales and Marketing manager at Unilever, after receiving a BE in Electrical Engineering and an MBA, both from the University of Delhi, India.

Sridhar’s research has been published in the leading journals of marketing, such as Marketing Science, Journal of Marketing Research and Quantitative Marketing and Economics.

Sridhar teaches MBA elective courses on Marketing Analytics and a PhD course on Bayesian methods. Previously he also taught the core Marketing Management course and an elective course on Green Marketing in the MBA program.

Academic Degrees

  • PhD, University of Chicago, 2005
  • MBA, University of Delhi, India, 1997
  • BE, University of Delhi, India, 1995

Academic Appointments

  • At Stanford University since 2005

Professional Experience

  • Area Sales Manager, Unilever India, 1997–2000

Publications

Journal Articles

Sridhar Narayanan, Harikesh S. Nair. Journal of Marketing Research. February 2013, Vol. 50, Issue 1, Pages 70-94.
Sridhar Narayanan. Quantitative Marketing and Economics. 2013, Vol. 11, Issue 1, Pages 39-81.
Sridhar Narayanan, Puneet Manchanda. Quantitative Marketing and Economics. 2012, Vol. 10, Issue 1, Pages 27-62.
Wesley Hartmann, Harikesh S. Nair, Sridhar Narayanan. Marketing Science. 2011, Vol. 30, Issue 6, Pages 1079-1097.
Sridhar Narayanan, Puneet Manchanda. Marketing Science. 2009, Vol. 28 , Issue 3, Pages 424-441.
Michaela Draganska, Sanjog Misra, Victor Aguirregabiria, Pat Bajari, Liran Einav, Paul Ellickson, Dan Horsky, Sridhar Narayanan, Yesim Orhun, Peter C. Reiss, Katja Seim, Vishal Singh, Raphael Thomadsen, Ting Zhu. Marketing Letters. 2008, Vol. 19, Issue 3-4, Pages 399-416.
Sridhar Narayanan, Pradeep K. Chintagunta, Eugenio J. Miravete. Quantitative Marketing and Economics. 2007, Vol. 5, Issue 1, Pages 1-34.
Sridhar Narayanan, Puneet Manchanda, Pradeep K. Chintagunta. Journal of Marketing Research. 2005, Vol. 42, Issue 3, Pages 278-290.
Puneet Manchanda, Dick R. Wittink, Andrew Ching, Paris Cleanthous, Min Ding, Xiaojing J. Dong, Peter S. H. Leeflang, Sanjog Misra, Natalie Mizik, Sridhar Narayanan, Thomas Steenburgh, Jaap E. Wieringa, Marta Wosinska, Ying Xie. Marketing Letters. 2005, Vol. 16, Issue 3-4, Pages 293-308.
Sridhar Narayanan, Ramarao Desiraju, Pradeep K. Chintagunta. Journal of Marketing. 2004, Vol. 68, Issue 4, Pages 90-105.

Working Papers

Courses Taught

Degree Courses

2013-14

Firms operate in an increasingly challenging business environment, with greater competition, more informed customers and rapidly changing market trends. Simultaneously, they also have access to more information about their customers, the...

The course aims to develop a thorough understanding of Bayesian inference, with a special focus on empirical applications in marketing. The course will start with a brief theoretical foundation to Bayesian inference and will subsequently focus on...

Stanford Case Studies

M347 | Star Digital
Sridhar Narayanan, Taylan Yildiz2013

Service to the Profession

  • Member, INFORMS

In the Media