Mechanism Design in Large Games: Incentives and Privacy
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Note: DOI: 10.1257/aer.104.5.431
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Cited by:
- Ronen Gradwohl & Moshe Tennenholtz, 2020. "Coopetition Against an Amazon," Papers 2005.10038, arXiv.org, revised Nov 2021.
- Kobbi Nissim & Rann Smorodinsky & Moshe Tennenholtz, 2018. "Segmentation, Incentives, and Privacy," Mathematics of Operations Research, INFORMS, vol. 43(4), pages 1252-1268, November.
- Alessandro Acquisti & Curtis Taylor & Liad Wagman, 2016. "The Economics of Privacy," Journal of Economic Literature, American Economic Association, vol. 54(2), pages 442-492, June.
- Emily Diana & Michael Kearns & Seth Neel & Aaron Roth, 2019. "Optimal, Truthful, and Private Securities Lending," Papers 1912.06202, arXiv.org.
- Ran Eilat & Kfir Eliaz Eliaz & Xiaosheng Mu, 2021. "Bayesian Privacy," Working Papers 2021-65, Princeton University. Economics Department..
- Eliaz, Kfir & Eilat, Ran & Mu, Xiaosheng, 2019. "Optimal Privacy-Constrained Mechanisms," CEPR Discussion Papers 13536, C.E.P.R. Discussion Papers.
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JEL classification:
- C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
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