Information Design for Congested Social Services: Optimal Need-Based Persuasion
Information Design for Congested Social Services: Optimal Need-Based Persuasion
复制标题
针对拥挤的社会服务的信息设计:基于需求的最佳说服
DOI:
10.1145/3391403.3399504
复制
发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Manshadi, Vahideh
中科院分区:
文献类型:
--
作者:
Anunrojwong, Jerry;Iyer, Krishnamurthy;Manshadi, Vahideh
We study the effectiveness of information design in reducing congestion in social services catering to users with varied levels of need. In the absence of price discrimination and centralized admission, the provider relies on sharing information about wait times to improve welfare. We consider a stylized model with heterogeneous users who differ in their private outside options:low-needusers have an acceptable outside option to the social service, whereashigh-needusers have no viable outside option. Upon arrival, a user decides to wait for the service by joining an unobservable first-come-first-serve queue, or leave and seek her outside option. To reduce congestion and improve social outcomes, the service provider seeks to persuade more low-need users to avail their outside option, and thus better serve high-need users. We characterize the Pareto-efficient signaling mechanisms and compare their welfare outcomes against several benchmarks. We show that if either type is the overwhelming majority of the population, then information design does not provide improvement over sharing full information or no information. On the other hand, when the population is sufficiently heterogeneous, information design not only Pareto-dominates full-information and no-information mechanisms, in some regimes it also achieves the same welfare as the “first-best,” that is, the Pareto-efficient centralized admission policy with knowledge of users’ types.This paper was accepted by Gabriel Weintraub, revenue management and market analytics.Funding:This work was supported by the National Science Foundation, Division of Civil, Mechanical and Manufacturing Innovation [Grants CMMI-2002155 and CMMI-2002156].Supplemental Material:The data and e-companion are available at https://doi.org/10.1287/mnsc.2022.4548.
登录
查看更多内容
DOI:
10.2139/ssrn.2964093
发表时间:
2018-07
期刊:
Game Theory & Bargaining Theory eJournal
影响因子:
--
作者:
David Lingenbrink;Krishnamurthy Iyer
通讯作者:
David Lingenbrink;Krishnamurthy Iyer
DOI:
10.2139/ssrn.3370605
发表时间:
2019
期刊:
Microeconomics: General Equilibrium & Disequilibrium Models eJournal
影响因子:
--
作者:
N. Arnosti;T. Randolph
通讯作者:
T. Randolph
DOI:
10.2139/ssrn.3610386
发表时间:
2020
期刊:
Proceedings of the 22nd ACM Conference on Economics and Computation
影响因子:
--
作者:
I. Ashlagi;F. Monachou;Afshin Nikzad
通讯作者:
Afshin Nikzad
DOI:
10.2139/ssrn.3386273
发表时间:
2019-05
期刊:
ERN: Information Asymmetry Models (Topic)
影响因子:
--
作者:
Jerry Anunrojwong;Krishnamurthy Iyer;David Lingenbrink
通讯作者:
Jerry Anunrojwong;Krishnamurthy Iyer;David Lingenbrink
DOI:
10.2139/ssrn.3743663
发表时间:
2020
期刊:
Proceedings of the 22nd ACM Conference on Economics and Computation
影响因子:
--
作者:
Yeon;Olivier Tercieux
通讯作者:
Olivier Tercieux