Research
I come from a customer relationship management (CRM) background, and much of my early work has been inspired by this perspective, developing methodologies for data fusion, selection correction, and causal inference in modeling customer purchase decisions. More generally, I am interested in developing methodologies that allow for the analysis of complex and/or non-standard data structures, such as representation learning methods for unstructured data.
Recently, I am also interested in competitive video games (e-sports) as an empirical context to study strategic human behavior. Currently, I am studying competitive decisions in an e-sports context, developing representation learning tools to enable behavioral analysis of how agents learn and make strategic decisions based on past experience in games with large/complex action spaces.
Working Papers
"*" indicates equal authorship
Shin Oblander (2024). "Representation Learning for Behavioral Analysis of Complex Competitive Decisions." Under review.
Shin Oblander and Kinshuk Jerath (2024). "The Non-Linear Impact of Delivery Time on Online Purchasing." Under review.
Daniel Minh McCarthy, Shin Oblander, Young-Hoon Park, and Yeohong Yoon (2024). "Expanding Markets or Capturing Share? The Effects of Subscription on Spending and Share-of-Wallet in Restaurant Delivery." Revise and resubmit at Journal of Marketing Research.
Published and Forthcoming Papers
"*" indicates equal authorship
Ryan Dew, Nicolas Padilla, Lan E-boy Luo, Shin Oblander, Asim Ansari, Khaled Boughanmi, Michael Braun, Fred M. Feinberg, Jia Liu, Thomas Otter, Longxiu Tian, Yixin Wang, and Mingzhang Yin (2024). "Probabilistic Machine Learning: New Frontiers for Modeling Consumers and Their Choices." International Journal of Research in Marketing, in press.
Michal Herzenstein*, Sanjana Rosario*, Shin Oblander*, and Oded Netzer* (2024). "The Language of (Non)replicable Social Science." Psychological Science, 35(9), 1048-1061.
Shin Oblander and Daniel Minh McCarthy (2023). "Frontiers: Estimating the Long-Term Impact of Major Events on Consumption Patterns: Evidence from COVID-19." Marketing Science, 42(5), 839-852.
Daniel Minh McCarthy* and Elliot Shin Oblander* (2021). "Scalable Data Fusion with Selection Correction: An Application to Customer Base Analysis." Marketing Science, 40(3), 459-480.
Winner of 2019 Marketing Strategy Meets Wall Street Conference's Best Paper Award
Elliot Shin Oblander, Sunil Gupta, Carl F. Mela, Russell S. Winer, and Donald R. Lehmann (2020). "The Past, Present, and Future of Customer Management." Marketing Letters, 31(2), 125-136.
Elliot Oblander, Sojung Carol Park, and Jean Lemaire (2016). "The Cost of High Suicide Rates in Japan and the Republic of Korea: Reduced Life Expectancies." Asia-Pacific Population Journal, 31(2), 21-44.