Workshop on Applications of Revealed Preference (WARP)
WARP is an online workshop (or regular periodic webinar), which emphasizes empirical applications of revealed preference analysis (very broadly defined). WARP aims to bring together applied practitioners, econometricians, and theorists working in the area, and applications would have a natural view towards addressing empirical questions through the analysis of data, be it experimental or field data.
Dates: Every other Wednesday in July/August 2020 (see the WARP Program below).
Time: 9.00am-11.00am SFO // 12.00pm-2.00pm NYC // 5.00pm-7.00pm LON.
Summer 2020 Program (PDF)
Wednesday, July 1
- Kareen Rozen (Brown) -- Relaxed Optimization: How Close is a Consumer to Satisfying First-Order Conditions? (with Geoffroy de Clippel)
- Lanny Zrill (HEC Montreal) -- (Non-) Parametric Recoverability of Preferences and Choice Prediction
Wednesday, July 15
- Matthew Shum (Caltech) -- Yogurts Choose Consumers? Estimation of Random Utility Models via Two-Sided Matching (with Odran Bonnet, Alfred Galichon, Yu-Wei Hsieh, and Keith O’Hara)
- Joshua Lanier (ULB) -- A Model of Stochastic Choice for Continuous Consumption
Wednesday, July 29
- Andrew Caplin (NYU) -- Rationally Inattentive Behavior: Characterizing and Generalizing Shannon Entropy (with Mark Dean and John Leahy)
- Nail Kashaev (Western Ontario) -- Prices, Profits, Proxies, and Production (with Victor Aguiar and Roy Allen)
Wednesday, August 12
- Charles Sprenger (Caltech) -- On the Empirical Validity of Cumulative Prospect Theory: Experimental Evidence of Rank-Independent Probability Weighting (with Douglas Bernheim)
- Adam Rosen (Duke) -- Econometric Modeling of Interdependent Discrete Choice with Applications to Market Structure (with Andrew Chesher)