Research
Here are my research papers, including published and working papers. Feedback is always welcome. If you'd like to see work in progress, please feel free to email me at: vineet.kumar@yale.edu
Publications and Papers in Advanced Review
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Spatial Distribution of Access to Service: Theory and Evidence from Ridesharing, with Soheil Ghili and Fei Teng, Accepted at (Management Science) (PDF)
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Nonparametric Pricing Bandits Leveraging Informational Externalities to Learn the Demand Curve, with Ian Weaver and Lalit Jain, Accepted at (Marketing Science) (PDF)
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A Theory-Based Explainable Deep Learning Architecture for Music Emotion, with Hortense Fong and K. Sudhir, Forthcoming at (Marketing Science) (PDF)
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Generative Interpretable Visual Design: Using Disentanglement for Visual Conjoint Analysis, with Ankit Sisodia and Alex Burnap, Forthcoming at (Journal of Marketing Research) (PDF)
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Can Random Friends Seed More Buzz and Adoption? Leveraging the Friendship Paradox, with K. Sudhir, Forthcoming at (Management Science) (PDF)
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Estimating Demand for Subscriptions: Identifying Willingness to Pay without Price Variation, with Cheng Chou, (Marketing Science) (2024) (PDF)
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On the Friendship Paradox and Inversity: A Network Property with Applications to Privacy-sensitive Network Interventions, with David Krackhardt and Scott Feld, (Proceedings of the National Academy of Sciences) 121 (30) (Link to PNAS)
- Health Care Workers' Reluctance to Take the Covid-19 Vaccine: A Consumer- Marketing Approach to Identifying and Overcoming Hesitancy, with Brita Roy and Arjun Venkatesh, (New England Journal of Medicine Catalyst) (2020) (PDF)
- Designing Pricing Strategy for Operational and Technological Change, with Yacheng Sun, (Management Science) (2020) (PDF)
- Estimating Dynamic Discrete Choice Models with Aggregate Data: Properties of the Inclusive Value Approximation, with Tim Derdenger, (Quantitative Marketing and Economics, Lead Article) (2019) (PDF)
- Linear Estimation of Aggregate Dynamic Discrete Demand for Durable Goods without the Curse of Dimensionality, with Cheng Chou and Tim Derdenger (Marketing Science) (2019) (PDF)
- Match Your Own Price? Self-Matching as a Multichannel Retailer's Pricing Strategy, with Pavel Kireyev and Elie Ofek (Marketing Science) (2017) (PDF)
- Commentary on "Predicting Customer Value using Clumpiness," with Kannan Srinivasan (Marketing Science) (2015) (PDF)
- Structural models of Complementary Choices, with Steve Berry, Ahmed Khwaja, Andres Musalem, Ken Wilbur, Greg Allenby, Bharat Anand, Pradeep Chintagunta, Michael Hanemann, Przemek Jeziorski and Angelo Mele. [Choice Symposium Invited Submission] (Marketing Letters) (2014) (PDF)
- Making Freemium Work, Vineet Kumar (Harvard Business Review) (2014) (PDF)
- The Dynamic Effects of Bundling as a Product Strategy, with Tim Derdenger (Marketing Science, Lead Article) (2013) (PDF)
- Competitive Product Strategy for Open Source Software, with Brett Gordon and Kannan Srinivasan. (Marketing Science) (2011) (PDF)
Working Papers
(in various stages of revision, please e-mail for latest, see CV for details)- Designing Freemium: Strategic Balancing of Growth and Monetization, with Clarence Lee and Sunil Gupta
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Unveiling the Impact of Within-Content Engagement Information: Evidence from a Natural Experiment on YouTube, with Keyan Zhu
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Fairness for AUC via Feature Augmentation, with Hortense Fong, Anay Mehrotra and Nisheeth Vishnoi
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Monetizing Serialized Content: How ``Wait for Free'' Impacts Paid and Free Consumption, with Peter Lee and K. Sudhir
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Market Structure Mapping with Visual Characteristics, with Ankit Sisodia
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Designing Plans on Digital Platforms: Insights from a Field Experiment, with Ian Weaver and Sreelata Jonnalagedda