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Number of items: 10.

2022

Yamashita, TakuroIdRef and Smolin, AlexeyIdRef (2022) Information design in concave games. In: EC'22: Proceedings of the 23rd ACM Conference on Economics and Computation. Pennock, David M. (ed.) Association for Computing Machinery. Series “ACM Conferences.” New-York. p. 870. ISBN 978-1-4503-9150-4

Ichihashi, Shota and Smolin, AlexeyIdRef (2022) Data Collection by an Informed Seller. TSE Working Paper, n. 22-1330, Toulouse

Yamashita, TakuroIdRef and Smolin, AlexeyIdRef (2022) Information Design in Concave Games. TSE Working Paper, n. 22-1313, Toulouse, France

Bergemann, DirkIdRef, Bonatti, Alessandro, Haupt, AndreasIdRef and Smolin, AlexeyIdRef (2022) The Optimality of Upgrade Pricing. In: Web and Internet economics: 17th International Conference, WINE 2021, December 14–17, 2021 Feldman, MichalIdRef, Hu, FuIdRef and Talgam-Cohen, InbalIdRef (eds.) Springer International Publishing. Series “Lecture Notes in Computer Science : vol.13112” Cham pp. 41-58. ISBN 9783030946753

2023

Smolin, AlexeyIdRef (2023) Disclosure and Pricing of Attributes. RAND Journal of Economics, vol. 54 (n° 4). pp. 570-597.

Garrett, Daniel F.IdRef, Georgiadis, George, Smolin, AlexeyIdRef and Szentes, Balazs (2023) Optimal technology design. Journal of Economic Theory, Vol. 209.

2024

Doval, Laura and Smolin, AlexeyIdRef (2024) Persuasion and Welfare. Journal of Political Economy, Vol. 132 (N° 7). pp. 2451-2487.

2025

Smolin, AlexeyIdRef and Yamashita, TakuroIdRefORCIDORCID: https://orcid.org/0000-0002-2008-8375 (2025) Information Design in Smooth Games. TSE Working Paper, n. 25-1671, Toulouse

Bergemann, DirkIdRef, Bonatti, Alessandro and Smolin, AlexeyIdRef (2025) The Economics of Large Language Models: Token Allocation, Fine-Tuning, and Optimal Pricing. [UNSPECIFIED]

Ichihashi, Shota and Smolin, AlexeyIdRef (2025) Buyer-Optimal Algorithmic Recommendations. [UNSPECIFIED]

This list was generated on Fri Feb 6 08:51:14 2026 CET.