–
Coffee and Check-In
–
Opening Remarks
–
Complementary Information and Learning Traps
Annie Liang (University of Pennsylvania)
–
Seeding with Costly Network Information
Dean Eckles (MIT)
–
Break
–
Incrementality Bidding and Attribution
Randall Lewis (Netflix)
–
Lunch
–
Obviousness Around the Clock
Sebastian Schweighofer-Kodritsch (Humboldt-Universität zu Berlin)
–
Credible Mechanism
Shengwu Li (Harvard University)
–
Break
–
The Content of Data: Backing out Preferences in Non-strategy Proof Mechanisms
Caterina Calsamilglia (IPEG Barcelona)
–
Information Acquisition and Provision in School Choice: An Experimental Study
Yan Chen (Univeristy of Michigan)
–
Reception
–
Coffee and Check-In
–
Paying Rideshare Drivers for Pickups
Shane Auerbach (Lyft)
–
Designing Driver Pricing Mechanisms for Uber's Ride-Hailing Market
Hamid Nazerzadeh (Uber and USC)
–
Break
–
Dashboard Mechanisms for Online Marketplaces
Jason Hartline (Northwestern University)
–
Lunch
–
Quality Selection in Two-Sided Markets: A Price Discrimination Approach
Ramesh Johari (Stanford University)
–
Break
–
Dog Eat Dog: Measuring Returns to Scale Using a Digital Platform Merger
Chiara Farronato (Harvard University)
–
Expectations-Based Loss Aversion May Help Explain Seemingly Dominated Choices in Strategy-Proof Mechanisms
Ori Heffetz (Cornell University & Hebrew University)
–
Lightning Talks
Shreyas Sekar (Harvard University), Nika Haghtalab (Cornell University), Krishn…
–
Coffee and Check-In
–
Leveraging Uncertainties to Infer Preferences: Robust Analysis of School Choice with Lotteries
Yinghua He (Rice University)
–
Diversity in Matching Markets
John Dickerson (University of Maryland)
–
Break
–
Crowdsourcing Information in Informal Supply Chains
Irene Lo (Stanford University)
–
Identification and Estimation of Dynamic Structural Models with Unobserved Choices
Yi Xin (Caltech)
–
Lunch
–
You Can Lead a Horse to Water: Consumer Search with Spatial Learning
Charles Hodgson (Yale University)