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Sridhar Narayanan
Sridhar Narayanan
Associate Professor, Marketing
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+1 (650) 723-9675
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SridharNarayanan
Associate Professor of Marketing 
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

Awards and Honors

  • MBA Class of '69 Faculty Scholar, Stanford GSB, 2013-2014

Publications

Journal Articles

Identifying Causal Marketing-Mix Effects Using a Regression Discontinuity Design
Wesley R Hartmann, Harikesh S. Nair, Sridhar Narayanan. Marketing Science. 2011, Vol. 30, Issue 6, Pages 1079-1097.

Working Papers

Estimating Causal Installed-Base Effects: A Bias-Correction Approach | PDF
Harikesh S. Nair, Sridhar Narayanan2012

Courses Taught

Degree Courses

2015-16

GSBGEN 199: Curricular Practical Training for PhD Students

GSB students are eligible to report on work experience that is relevant to their core studies under the direction of the Director of the PhD Program. Registration for this work must be approved by the Director of the PhD Program and is limited to...

MKTG 365: Marketing Analytics

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...

MKTG 366: Advanced Marketing Analytics

This course is focused on advanced methods and approaches to marketing analytics. Firms often operate in an increasingly challenging environment, with greater competition, more informed customers and rapidly changing market trends. They also...

MKTG 576: Digital Marketing

There has been a rapid evolution of digital means of communicating with consumers and advertising to them, driven by changes in technologies and consumer behavior. Readership of traditional print media has gone down dramatically, and television...

MKTG 646: Bayesian Inference: Methods and Applications

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...

MKTG 691: PhD Directed Reading (ACCT 691, FINANCE 691, GSBGEN 691, HRMGT 691, MGTECON 691, OB 691, OIT 691, POLECON 691, STRAMGT 691)

This course is offered for students requiring specialized training in an area not covered by existing courses. To register, a student must obtain permission from the faculty member who is willing to supervise the reading.

MKTG 692: PhD Dissertation Research (ACCT 692, FINANCE 692, GSBGEN 692, HRMGT 692, MGTECON 692, OB 692, OIT 692, POLECON 692, STRAMGT 692)

This course is elected as soon as a student is ready to begin research for the dissertation, usually shortly after admission to candidacy. To register, a student must obtain permission from the faculty member who is willing to supervise the...

MKTG 698: Doctoral Practicum in Teaching

Doctoral Practicum in Teaching

MKTG 699: Doctoral Practicum in Research

Doctoral Practicum in Research

MKTG 802: TGR Dissertation (ACCT 802, FINANCE 802, GSBGEN 802, HRMGT 802, MGTECON 802, OB 802, OIT 802, POLECON 802, STRAMGT 802)

2014-15

GSBGEN 199: Curricular Practical Training for PhD Students

GSB students are eligible to report on work experience that is relevant to their core studies under the direction of the Director of the PhD Program. Registration for this work must be approved by the Director of the PhD Program and is limited to...

MKTG 365: Marketing Analytics

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...

MKTG 572: Marketing in Developing Countries

In an increasingly globalized marketplace, a number of companies are either currently present in developing countries, or have future plans of entering these countries. There are differences in the economic environment, the institutional...

MKTG 695: Directed Research

This course is designed to prepare new marketing PhD students for conducting rigorous, independent research. In this course, the student will work closely with a faculty member in collaborative research activities and will become familiar with...

2013-14

MKTG 365: Marketing Analytics

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...

MKTG 646: Bayesian Inference: Methods and Applications

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

Star Digital | M347
Sridhar Narayanan, Taylan Yildiz2013

Service to the Profession

  • Member, INFORMS

In the Media

Marketing to Professionals: Resource Allocation
PharmEx.com, March 1, 2007

Insights by Stanford Business

writtenSridhar Narayanan: With Google Search Ads, Higher Isn’t Always Better
January 16, 2015
The researchers gained rare insight into the effects of position in paid search advertising on Google.
writtenMost Gamblers Are Just Out for Fun
February 1, 2009
Research shows that, while gamblers do exhibit many irrational behaviors, for most its just simple entertainment.
writtenInformation Can Help You Get the Right Cell Phone Plan
November 1, 2007
Research examines whether "rational" consumers always chose the best plan for themselves.
writtenMarketing to Physicians Reaps Higher Returns for Drug Companies
August 1, 2006
A recent study shows direct-to-consumer drug ads can lift a whole category, but well-timed ads to doctors boost the individual brand.

School News

writtenNine New Faculty Members Welcomed
September 1, 2005
Three senior professors — in accounting, organizational behavior, and marketing — have joined the Stanford GSB faculty, along with six junior faculty.