Research

My Google Scholar profile is here. A formal CV and research statement are here.  

A list of papers is below. Click through the links for an abstract, a PDF of the paper, and, where available, a slide deck of an associated talk. 

My Erdos number is 3 (me -> Rakesh Vohra -> Daniel Kleitman -> Paul Erdos). 

Working Papers

• Indirect Persuasion (with Rahul Deb and Maher Said) Revise & Resubmit, Journal of Political Economy.

• Dynamic Incentives for Buy-Side Analysts (with Rahul Deb and Maher Said)

• Strategic Management of Social Information (with  Manuel Mueller-Frank, Carlo Reggiani, Alejandro Saporiti and Lois Simanjuntak) Revise and Resubmit, International Journal of Industrial Organization

• Strategic Advantages for Integrated Builders in MEV-Boost (with Max Resnick) (new)

• How Informed Do You Want Your Principal To Be? (with Rahul Deb and Anne-Katrin Roesler) (new)

• Dynamic Transaction Fee Mechanism Design (with Max Resnick) (new)

• An Analysis of Intent-Based Markets (with Tarun Chitra, Theo Diamandis, Kshitij Kulkarni) (new)

• Strategy Investments in Matrix Games (with Raul Garcia, Seyedmohammadhossein Hosseinian and Andrew J. Schaefer) (new) Revise and Resubmit, Optimization Letters

Papers in Refereed Journals

1. Continuous Implementation with Direct Revelation Mechanisms (with Yi-Chun Chen and Manuel Mueller-Frank) Journal of Economic Theory, Volume 201, April 2022, 105422.

2. Competing Models (with Jose Luis Montiel Olea, Pietro Ortoleva and Andrea Prat) Quarterly Journal of Economics, Nov 2022, 137(4), November 2022, Pages 2419–2457.

3. Testing Alone is Insufficient (with Rahul Deb, Akhil Vohra,  Rakesh Vohra) Review of Economic Design, March 2022; 26(1): 1–21.

4. (Bad) Reputation in Relational Contracting (with Rahul Deb and Matt Mitchell) Theoretical Economics, 2022, 17, 763–800 . 

5. Frontiers: Algorithmic Collusion: Supra-competitive prices via independent algorithms (with Karsten Hansen and Kanishka Misra) Marketing Science, 40(1), January 2021, 1-12.
   Winner of Best Pricing Paper, American Marketing Association RAPSIG 2023.

6. Evaluating Strategic Forecasters (with Rahul Deb and Maher Said), American Economic Review, 108(10), October 2018, 3057-3103.

7. Mental Health Stigma (with Prashant Bharadwaj and Agne Suziedelyte) , Economics Letters, 159, October 2017, 57-60.

8. An Anti-Folk Theorem for Large Repeated Games with Imperfect Monitoring (with Aaron Roth and Jon Ullman), ACM Transactions in Economics and Computation (TEAC), 5(2), October 2016.

9. Discrimination via Symmetric Auctions (with Rahul Deb), American Economic Journal: Microeconomics, 9(1), February 2017, 275-314.
   Best Paper, AEA American Economic Journal: Microeconomics, 2021. 

10. Social Learning with Costly Search (with Manuel Mueller-Frank), American Economic Journal: Microeconomics, 8(1), February 2016, 83-109.

11. The Geometry of Revealed Preference (with Rahul Deb), Journal of Mathematical Economics, 50, January 2014, 203-207.

12. Optimal Auctions with Financially Constrained Bidders (with Rakesh Vohra), Journal of Economic Theory, 150, March 2014, 383-425.  

13. Coarse Decision Making and Overfitting (with Nabil Al-Najjar), Journal of Economic Theory, 150, March 2014,  467-486.

14. Optimal Dynamic Auctions and Simple Index Rules (with Rakesh Vohra), Mathematics of Operations Research, 38(4), November 2013, 682-697.

Papers in Refereed Conference Proceedings

1. The Centralizing Effects of Private Order Flow on Proposer-Builder Separation  (with Tivas Gupta and Max Resnick), to appear, AFT 23.

2. Censorship Resistance in On-Chain Auctions (with Max Resnick ®️ Elijah Fox), to appear, AFT 23. 

3. The Wisdom of the Crowd and Higher-Order Beliefs  (with Yi-Chun Chen and Manuel Mueller-Frank), EC 2023.

4. Taxing Externalities without Hurting the Poor (with Philipp Strack), EC 2023.

5. Online Multiobjective Minimax Optimization and Applications (with Daniel Lee, Georgy Noarov, Aaron Roth) NeurIPS 2022.

6. Online Multivalid Learning: Means, Moments, and Prediction Intervals  (with Varun Gupta, Chris Jung, Georgy Noarov, Aaron Roth) ITCS 2022.

7. Moment Multicalibration for Uncertainty Estimation  (with Chris Jung, Changhwa Lee, Aaron Roth, Rakesh Vohra) COLT 2021. 

8. Fair Prediction with Endogenous Behavior (with Chris Jung, Sampath Kannan, Changhwa Lee, Aaron Roth, Rakesh Vohra) EC 2020. 

9. Fairness Incentives for Myopic Agents  (with Sampath Kannan, Michael Kearns,  Jamie Morgenstern, Aaron Roth, Rakesh Vohra and Steven Wu), EC 2017.

10. The Strange Case of Privacy in Equilibrium Models (with Rachel Cummings, Katrina Ligett and Aaron Roth), EC 2016.

11. Mechanism Design in Large Games: Incentives and Privacy (with Michael Kearns, Aaron Roth and Jon Ullman), ITCS 2014.

12. Ironing in Dynamic Revenue Management: Posted Prices and Biased Auctions (with Rahul Deb), SODA 2013.

13. Auctions with Intermediaries (with Jon Feldman, Vahab Mirrokni and S Muthukrishnan), EC 2010.

Other Publications

1. [Economist's Note] Collusive Outcomes via Pricing Algorithms (with Karsten Hansen and Kanishka Misra), Journal of European Competition Law and Practice, 2021. 

2. Mechanism Design in Large Games: Incentives and Privacy (with Michael Kearns, Aaron Roth and Jon Ullman), American Economic Review Papers and Proceedings, 104(5): 431-5.

3. Mechanism Design and Privacy (with Aaron Roth), SIGecom Exchanges, 12(1),  June 2013.

4. Competition in Mechanisms, SIGecom Exchanges, 9(1), June 2010. 

Dormant Papers

• Robust Mediators in Large Games (with Michael Kearns, Ryan Rogers, Aaron Roth and Jon Ullman) 

• Do Online Social Networks Increase Welfare? (with Manuel Mueller-Frank)  

• The Design of Affirmative Action Policy: A Mechanism Design Approach (with Rakesh Vohra) 

Patents

Fair Discounting Auctions (with Kamal Jain, Rakesh Vohra) (US Patent #7,778,869)

Grants

I am presently supported partially by a NSF- CCF grant (joint with Sampath Kannan, Aaron Roth and Rakesh Vohra) on "The Foundations of Fair Data Analysis."

I was previously supported by an NSF-ICES grant (joint with Sham Kakade, Michael Kearns and Aaron Roth) on "The Economic Foundations of Digital Privacy."

Service

I've served on the organizing committee for- Fairness for Digital Infrastructure Workshop 2017, Texas Theory Conference 2016, New York Computer Science and Economics Day 2011 and Ad Auctions Workshop 2012. 

I have served on the program committee for ACM Conference on Electronic commerce and other conferences and workshops in the sort of 'nexus area' between computer science and economics. Most recently, I served as a area chair for EC 2023 and will be serving as a SPC for WINE 23. 

I've been a referee for, among others: American Economic Review, American Economic Journal: Microeconomics, BE Journal of Theoretical Economics, Econometrica, Economics Bulletin, European Journal of Operations Research, Games and Economic Behavior, International Economic Review, International Journal of Game Theory,  Journal of Economic Theory, Journal of Economics and Management Strategy, Journal of Mathematical Economics, Journal of Public Economics, Management Science, Mathematics of Operations Research, Operations Research, Review of Economic Studies, Theoretical Economics and Transactions on Economics and Computation.