Sebastian Gabel



Gabel S and Timoshenko A (2021). Product Choice with Large Assortments: A Scalable Deep-Learning Model. Management Science, 68(3):1808-1827. [Journal]

Gabel S and Guhl D (2021). Comparing the Effectiveness of Rewards and Individually Targeted Coupons in Loyalty Programs. Journal of Retailing (forthcoming). [Journal]

Gabel S, Guhl D, and Klapper D (2019). P2V-MAP: Mapping Market Structure for Large Assortments. Journal of Marketing Research, 56(4), 557-580. [Journal]

Proceedings (excerpt)

Schrage R, Kenning P, Guhl D, and Gabel S (2020). Price Personalization Technology in Retail Stores: Examining the Role of Users’ Trust. In Proceedings of the 41st International Conference on Information Systems (ICIS). [Journal]

Gabel S and Klapper D (2017). Embedding Products in Latent Attribute Spaces: Implications for Managing Assortments in FMCG Retailing. In Proceedings of the 46th EMAC Conference, Groningen (Finalist EMAC best paper award based on a doctoral dissertation).

Working papers

Gabel S and Guhl D (2022). Coupon Personalization in Retail Promotion Networks: Evidence from 809 Brand Campaigns. [Working paper]

Gabel S, Simester D, and Timoshenko A (2022). Using Purchase Rates To Identify Brands with Similar Treatment Effects. [Working paper]

Work in progress

Modeling Customer Heterogeneity in Deep Neural Networks
With Timoshenko A (Kellogg School of Management, Northwestern University)

Revenue Returns of Personalized Coupons
With Hitsch G, Misra S (Booth School of Business, University of Chicago)

Retail Assortment Optimization: A Deep-Learning Approach
With Ringel D (Kenan-Flagler Business School, University of North Carolina)