Vineet Kumar, Yale School of Management

Research

Here is my research, 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: kumar.vineet@gmail.com

Publications and Papers in Advanced Review

• A Theory-Based Interpretable Deep Learning Architecture for Music Emotion, with Hortense Fong and K. Sudhir, (Marketing Science) -- Minor Revision (PDF)

• Generative Interpretable Visual Design: Using Disentanglement for Visual Conjoint Analysis, with Ankit Sisodia and Alex Burnap, (Journal of Marketing Research) -- Conditionally Accepted (PDF)

• 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) -- Accepted

• Estimating Demand for Subscriptions: Identifying Willingness to Pay without Price Variation, with Cheng Chou, (Marketing Science) -- Articles in Advance (PDF)

• Can Random Friends Seed More Buzz and Adoption? Leveraging the Friendship Paradox, with K. Sudhir, (Management Science, Fast Track) (Accepted) (PDF)

• 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, Dec 2020) (PDF)
• Designing Pricing Strategy for Operational and Technological Change, with Yacheng Sun, Management Science, June 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, Dec 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, Sep-Oct 2019) (PDF)
• Match Your Own Price? Self-Matching as a Multichannel Retailer's Pricing Strategy, with Pavel Kireyev and Elie Ofek (Marketing Science, Nov-Dec 2017) (PDF)
• "Predicting Customer Value using Clumpiness" — Commentary with Kannan Srinivasan (Marketing Science, Mar-Apr 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 from Marketing Letters, Sep 2014) (PDF)

• Making Freemium Work, (Harvard Business Review, May 2014) (PDF)
• The Dynamic Effects of Bundling as a Product Strategy, with Tim Derdenger (Marketing Science, Lead Article in Nov-Dec 2013) (PDF)

• Competitive Product Strategy for Open Source Software, with Brett Gordon and Kannan Srinivasan. (Marketing Science, Nov-Dec 2011) (PDF)

Working Papers

(in various stages of revision, see CV for details)

• Spatial Distribution of Access to Service: Theory and Evidence from Ridesharing, with Soheil Ghili and Fei Teng (PDF)

• Nonparametric Bandits Leveraging Informational Externalities to Learn the Demand Curve, with Ian Weaver (PDF)

• Designing Freemium: Strategic Balancing of Growth and Monetization, with Clarence Lee and Sunil Gupta

• Fairness for AUC via Feature Augmentation, with Hortense Fong, Anay Mehrotra and Nisheeth Vishnoi (PDF)

• Market Structure Mapping with Visual Characteristics, with Ankit Sisodia and Alex Burnap

• Designing Plans on Digital Platforms: Insights from a Field Experiment, with Ian Weaver and Sreelata Jonnalagedda