Authors
Daron Acemoglu, Daniel Huttenlocher, Asuman Ozdaglar, James Siderius
- Acknowledgements & Disclosure
- We are grateful to numerous participants at the 2024 NBER Economics of Artificial Intelligence Conference, INFORMS 2022 Annual Conference, UT Dallas Jindal School of Business, Santa Clara Leavey School of Business, Johns Hopkins Carey School of Business, University of Michigan Ross School of Business, Tuck School of Business at Dartmouth College, USC Marshall School of Business, Emory University, Chicago Booth School of Business, MIT Sloan School of Management, Columbia NYCMedia Seminar, and AsuFest 2023 for their suggestions and feedback. Financial support from the Hewlett Foundation is gratefully acknowledged. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.
- DOI
- https://doi.org/10.3386/w33017
- Pages
- 54
- Published in
- United States of America
Table of Contents
- Introduction 3
- A Model of Content Platforms 6
- Actions and Timing 8
- Payoffs and Solution Concept 9
- User Welfare 12
- First Best 12
- Baseline Equilibrium Characterization 13
- Equilibrium Business Models and Digital Ads 13
- Fully-Rational Benchmark 16
- Digital Advertising: Welfare Analysis 16
- General Platform Business Models 17
- Profit-Maximizing Menus of Business Models 18
- Mixed Business Models 19
- Firm-Level and Platform-Level Competition 20
- Existence and Uniqueness 21
- Advertising with Firm-Level Competition 22
- Platform-Level Competition 25
- Digital Ad Taxation 27
- Second-Best User Welfare 27
- Decentralizing the Second Best 28
- Flat Digital Ad Tax 29
- Conclusion 29
- Proofs 33
- Proofs from Section 2 33
- Proofs from Section 3 34
- Proofs from Section 4 39
- Proofs from Section 5 42
- Online Appendix: Omitted Proofs from Section 6 50
- Online Appendix: Kinked Linear Demand 53
- Online Appendix: Digital Ad Taxation with Multiple Firms/Platforms 54