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.

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.