Dynamic Pricing with Demand Learning and Reference Effects -- Talk by Arnoud de Boer Event
- Time:
- 14:00
- Date:
- 22 November 2018
- Venue:
- 54/8031
For more information regarding this event, please email Christine Currie at Christine.Currie@soton.ac.uk .
Event details
We consider a seller’s dynamic pricing problem with demand learning and reference effects. Customers are loss averse: they have a reference price that can vary over time, and the demand reduction when the selling price exceeds the reference price dominates the demand increase when the selling price falls behind the reference price by the same amount. Consequently, the expected demand as a function of price has a time-varying “kink” and is not differentiable everywhere. The seller neither knows the underlying demand function nor observes the time-varying reference prices. In this setting, we design and analyze a policy that (i) changes the selling price very slowly to control the evolution of the reference prices, and (ii) gradually accumulates sales data to balance the tradeoff between learning and earning. We prove that, under a variety of reference-price updating mechanisms, our policy is asymptotically optimal; i.e., its T-period revenue loss relative to a clairvoyant who knows the demand function and the reference-price updating mechanism grows at the smallest possible rate in T. We also extend our analysis to the limiting case of a fixed reference price, and show how reference effects increase the complexity of dynamic pricing problems that involve demand model uncertainty.
Speaker information
Arnoud de Boer,Unversity of Amsterdam,After obtaining a mathematics degree at Utrecht University (2006) and a post-master degree Mathematics for Industry at Eindhoven University of Technology (2008), Arnoud wrote his PhD thesis `Dynamic Pricing and Learning' (2013) at the CWI Centrum for Wiskunde and Computer Science, under the supervision of Bert Zwart and Rob van der Mei. After positions at Eindhoven University of Technology (postdoc), University of Amsterdam (postdoc), and University of Twente (postdoc / assistant professor), he joined the University of Amsterdam in 2016 as assistant professor in the mathematics department. He is also affiliated to the Amsterdam Business School. Arnoud's research focuses on the interface of learning and optimization, with applications in dynamic pricing and revenue management. His PhD thesis and subsequent research has been awarded the 2015 Gijs de Leve prize for best PhD Thesis in operations research defended in the Netherlands in the period 2012-2014, a honorable mention for the Willem R. van Zwet Award for best PhD Thesis in statistics & operations research defended in the Netherlands in 2013, a finalist place for the 2015 European Doctoral Dissertation Award, an NWO Veni grant in 2014, and the INFORMS Revenue Management & Pricing Section Prize in 2016. Arnoud organized the 2017 INFORMS Revenue Management and Pricing Section conference, and is Associate Editor for Management Science.