Kang, E., Yoganarasimhan, H., and Jain, L. (2025), "An Empirical Risk Minimization Approach for Offline Inverse RL and Dynamic Discrete Choice Model."
Biswas, S., Yoganarasimhan, H., and Zhang, H. (2025), "How Does Online Shopping Affect Offline Price Sensitivity?"
Ye, Z. and Yoganarasimhan, H. (2025), "Document Valuation in LLM Summaries: A Cluster Shapley Approach." (Slides, GitHub)
Cheng, M., Ofek, E., and Yoganarasimhan, H. (2025), "Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs."
Cheng, M., Ofek, E., and Yoganarasimhan, H. (2025), "The Value of Silence: The Effect of UMG’s Licensing Dispute with TikTok on Music Demand."
Mosaffa, M., Rafieian, O., and Yoganarasimhan, H. (2025), "Visual Polarization Measurement Using Counterfactual Image Generation."
Barzegary, E. and Yoganarasimhan, H. (2025), "A Recursive Partitioning Approach for Dynamic Discrete Choice Models in High-Dimensional Settings." (Slides, GitHub)
Mummalaneni, S., Yoganarasimhan, H., and Pathak, V. (2024), "How Do Content Producers Respond to Engagement on Social Media Platforms?" (Slides)
Singh, A., Liu, Y., and Yoganarasimhan, H. (2025), "Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets."
Biswas, S., Yoganarasimhan, H., and Zhang, H. (2025), "Channel Choice and Customer Value."
Ye, Z., Yoganarasimhan, H., and Zheng, Y. (2025), "LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments." (Web Appendix, Slides, GitHub)
Forthcoming at Marketing Science.
Jain, L., Li, Z., Loghmani, E., Mason, B., and Yoganarasimhan, H. (2024), "Effective Adaptive Exploration of Prices and Promotions in Choice-Based Demand Models." (Web Appendix, Slides, GitHub)
Marketing Science, Vol. 43(5), pp 1002-1030.
Yoganarasimhan, Hema, and Iakovetskaia, I. (2024), "From Feeds to Inboxes: A Comparative Study of Polarization in Facebook and Email News Sharing." (Web Appendix, GitHub)
Management Science, Vol. 70(9), pp 6461- 6472.
Goli A., Lambrecht, A., and Yoganarasimhan, H. (2024), "A Bias Correction Approach for Interference in Ranking Experiments." (Web Appendix, Slides)
Marketing Science, Vol. 43(3), pp 590-614.
Yoganarasimhan, H., Barzegary, E., and Pani, A. (2023), "Design and Evaluation of Optimal Free Trials." (Web Appendix, Slides)
Management Science, Vol. 69(6), pp 3220 -3240.
Rafieian, O., and Yoganarasimhan, H. (2022), "Variety Effects in Advertising." (Web Appendix)
Journal of Marketing Research, Vol. 59(4), pp 718-738.
Finalist, AMA-MRSIG Don Lehmann Award, 2023
Bojd, B. and Yoganarasimhan, H. (2022), "Star-Cursed Lovers: Role of Popularity Information in Online Dating." (Web Appendix, Slides)
Marketing Science, Vol. 41(1), pp 73-92.
Iyer, G. and Yoganarasimhan, H. (2021), "Strategic Polarization in Group Interactions." (Web Appendix, Slides)
Journal of Marketing Research, Vol 58(4), pp 782-800.
Rafieian, O. and Yoganarasimhan, H. (2021), "Targeting and Privacy in Mobile Advertising." (Web Appendix, Slides)
Marketing Science, Vol 40(2), pp 193-218. (Lead article.)
Winner, Frank M. Bass Outstanding Dissertation Award, 2021
Finalist, John D.C. Litte Best Paper Award, 2021
Yoganarasimhan, H. (2020), "Search Personalization using Machine Learning." (Web Appendix, Slides)
Management Science, Vol 66(3), pp 1045-1070.
Yoganarasimhan, H. (2017), "Identifying the Presence and Cause of Fashion Cycles in Data." (Web Appendix)
Journal of Marketing Research, Vol 54(1), pp 5-26. (Lead article.)
Finalist, Paul Green Best Paper Award, 2017.
Yoganarasimhan, H. (2016), "Estimation of Beauty Contest Auctions." (Web Appendix, Slides, Code)
Marketing Science, Vol. 35(1), pp 27-54.
Finalist, John D.C. Little Best Paper Award, 2016
Yoganarasimhan, H. (2013), "The Value of Reputation in Online Freelance Marketplaces." (Web Appendix, Slides)
Marketing Science, Vol. 32(6), pp 860-891.
Finalist, Don Morrison Long Term Impact Award, 2023
Winner, John D.C. Little Best Paper Award, 2013
Yoganarasimhan, H. (2012), "Cloak or Flaunt? – The Fashion Dilemma."
Marketing Science, Vol. 31(1), pp 74–95.
Winner, Frank M. Bass Outstanding Dissertation Award, 2012
Finalist, John D.C. Litte Best Paper Award, 2012
Yoganarasimhan, H. (2012), "Impact of Social Network Structure on Content Propagation – A Study using YouTube Data."
Quantitative Marketing and Economics, Vol. 10(1), pp 111–150.
Mayzlin, D., and Yoganarasimhan, H. (2012), "Link to Success – How Blogs Build an Audience by Promoting Rivals," (Web Appendix).
Management Science, Vol. 58(9), pp 1651–1668.
Rafieian, O., and Yoganarasimhan, H. (2023), "AI and Personalization."
Special Issue on Artificial Intelligence and Marketing in Review of Marketing Research, editors Sudhir, K., and Toubia, O.
Proserpio, D., Hauser, J. R., Liu, X., Amano, T., Burnap, A., Guo, T., Lee, D., Lewis, R. A., Misra, K., Schwartz, E. M., Timoshenko, A., Xu, L., and Yoganarasimhan, H. (2020), "Soul and Machine (Learning)."
Marketing Letters, Vol. 31, pp 393-404.
Dzyabura, D., and Yoganarasimhan, H. (2018), "Machine Learning and Marketing."
Handbook of Marketing Analytics: Methods and Applications in Marketing, Public Policy, and Litigation Support, editors Hanssens, D., and Mizik, N., 2018.