×

Maxmin implementation. (English) Zbl 1461.91084

Summary: This paper studies the implementation problem of a mechanism designer with ambiguity averse agents. The mechanism designer, desiring to implement a choice correspondence, can create ambiguity for agents by committing to multiple allocation rules and transfer schemes without revealing which one to use. By extending the cyclical monotonicity condition from choice functions to choice correspondences, we show that the condition can fully characterize implementable choice correspondences. We then study the implementability of choice correspondences in supermodular environments. As an application, we consider a mechanism designer who wants to allocate one object to one of her most desired agents and show that she can strictly benefit from concealing the tie-breaking rules. An intuitive and computationally tractable condition is provided to characterize when the mechanism designer’s preference induces an implementable choice correspondence.

MSC:

91B03 Mechanism design theory
91B06 Decision theory

References:

[1] Bergemann, D.; Morris, S., Robust mechanism design, Econometrica, 73, 1771-1813 (2005) · Zbl 1151.91327
[2] Bikhchandani, S.; Chatterji, S.; Lavi, R.; Mu’alem, A.; Nisan, N.; Sen, A., Weak monotonicity characterizes deterministic dominant-strategy implementation, Econometrica, 74, 1109-1132 (2006) · Zbl 1152.91428
[3] Borgers, T., An Introduction to the Theory of Mechanism Design (2015), Oxford University Press · Zbl 1316.91001
[4] Bose, S.; Daripab, A., A dynamic mechanism and surplus extraction under ambiguity, J. Econ. Theory, 144, 2084-2114 (2009) · Zbl 1195.91050
[5] Bose, S.; Ozdenoren, E.; Pape, A., Optimal auctions with ambiguity, Theor. Econ., 1, 411-438 (2006)
[6] Bose, S.; Renou, L., Mechanism design with ambiguous communication devices, Econometrica, 82, 1853-1872 (2014) · Zbl 1419.91269
[7] Brooks, B. A.; Du, S., Optimal auction design with common values: an informationally-robust approach, Econometrica (2020), Forthcoming
[8] Carroll, G., Robustness and linear contracts, Am. Econ. Rev., 105, 536-563 (2015)
[9] Carroll, G., Robustness and separation in multidimensional screening, Econometrica, 85, 453-488 (2017) · Zbl 1420.91083
[10] Castro, L. D.; Yannelis, N. C., Uncertainty, efficiency and incentive compatibility: ambiguity solves the conflict between efficiency and incentive compatibility, J. Econ. Theory, 177, 678-707 (2018) · Zbl 1417.91159
[11] Chen, Y.-C.; Li, J., Revisiting the foundations of dominant-strategy mechanisms, J. Econ. Theory, 178, 294-317 (2018) · Zbl 1417.91128
[12] Chew, S. H.; Miao, B.; Zhong, S., Partial ambiguity, Econometrica, 85, 1239-1260 (2017) · Zbl 1420.91072
[13] Chung, K.-S.; Ely, J., Foundations of dominant-strategy mechanisms, Rev. Econ. Stud., 74, 447-476 (2007) · Zbl 1297.91076
[14] Di Tillio, A.; Kos, N.; Messner, M., The design of ambiguous mechanisms, Rev. Econ. Stud., 84, 237-276 (2017) · Zbl 1471.91084
[15] Du, S., Robust mechanisms under common valuation, Econometrica, 86, 1569-1588 (2018) · Zbl 1419.91323
[16] Ellsberg, D., Risk, ambiguity, and the Savage axioms, Q. J. Econ., 70, 643-669 (1961) · Zbl 1280.91045
[17] Epstein, L. G.; Schneider, M., Ambiguity, information quality, and asset pricing, J. Finance, 63, 197-228 (2008)
[18] Gilboa, I.; Schmeidler, D., Maxmin expected utility with non-unique prior, J. Math. Econ., 18, 141-153 (1989) · Zbl 0675.90012
[19] Gui, H.; Müller, R.; Vohra, R. V., Dominant Strategy Mechanisms with Multidimensional Types (2004), Working Paper
[20] Guo, H., Mechanism design with ambiguous transfers: an analysis in finite dimensional naive type spaces, J. Econ. Theory, 183, 76-105 (2019) · Zbl 1457.91140
[21] Halevy, Y., Ellsberg revisited: an experimental study, Econometrica, 75, 503-536 (2007) · Zbl 1132.91423
[22] Ke, S.; Zhang, Q., Randomization and ambiguity aversion, Econometrica, 88, 1159-1195 (2020) · Zbl 1466.91098
[23] Keynes, J. M., A Treatise on Probability (1921), Macmillan: Macmillan London · JFM 48.0615.08
[24] Knight, F. H., Risk, Uncertainty and Profit (1921), Houghton Mifflin: Houghton Mifflin Boston
[25] L. Bodoh-Creed, A., Ambiguous beliefs and mechanism design, Games Econ. Behav., 75, 518-537 (2012) · Zbl 1239.91065
[26] Lopomo, G.; Rigotti, L.; Shannon, C., Uncertainty in Mechanism Design (2020), Working Paper
[27] Roberts, K., The characterization of implementable choice rules, (Laffont, J.-J., Aggregation and Revelation of Preferences (1979), North Holland Publishing Company) · Zbl 0429.90009
[28] Rochet, J.-C., A necessary and sufficient condition for rationalizability in a quasi-linear context, J. Math. Econ., 16, 191-200 (1987) · Zbl 0628.90003
[29] Rockafellar, R. T., Convex Analysis (1970), Princeton University Press: Princeton University Press Princeton · Zbl 0229.90020
[30] Saito, K., Preferences for flexibility and randomization under uncertainty, Am. Econ. Rev., 105, 1246-1271 (2015)
[31] Saks, M.; Yu, L., Weak monotonicity suffices for truthfulness on convex domains, (Proceedings of the 6th ACM Conference on Electronic Commerce. Proceedings of the 6th ACM Conference on Electronic Commerce, EC ’05 (2005), ACM), 286-293
[32] Song, Y., Efficient implementation with interdependent valuations and maxmin agents, J. Econ. Theory, 176, 693-726 (2018) · Zbl 1419.91400
[33] Wolitzky, A., Mechanism design with maxmin agents: theory and an application to bilateral trade, Theor. Econ., 11, 971-1004 (2016) · Zbl 1395.91241
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.