Joel Waldfogel (Univeristy of Minesota) - A Framework for Detection, Measurement and Welfare Analysi
Channel: Toulouse School of Economics (Ecole d'économie de Toulouse - TSE)
Date: 2023-12-04

👉 Speaker : Joel Waldfogel (Univeristy of Minesota) - A Framework for Detection, Measurement and Welfare Analysis of Platform Bias

Discussant: Chiara Farronato (Harvard Business School)


0:00 Intro
0:07 Presentation 
0:17 Platform and regulators
0:53 Regulatory Action is ahed of research
1:40 Generic setup: search result rankings
2:28 Road map
3:40 Model Idea
4:44 Implementation needs
5:42 Consumer side
7:04 Outcomes depend on ranking R 
8:18 The platform's ranking choice
9:53 Welfare frontier 
9:55 The platform perspective
12:04 Supply function and bias detection: COO
13:11 COO implementation
13:54 Supply fcn and bias detection: Outcome-based approach
15:34 Outcome-based intuition
16:16 Implementation and data needs
16:42 Monte Carlo simulation
17:47 COO is reliable only if we observe Z 
18:30 OB test works
19:05 Illustrative data and contexts
20:47 Compare COO and OB: Amazon
21:52 Compare COO and OB: Expedia
22:34 Compare COO and OB: Spotify
23:53 Structural model: Amazon
25:01 Amazon estimates
27:00 Expedia estimates
29:00 Model: actual vs debiased ranks
30:15 Amazon: CS vs PS & bias
31:28 Expedia: CS vs PS & bias
31:54 Conclusion
33:30 Questions Comments and Suggestions (Chiara Farronato)