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Статья
Fast Fourier solvers for the tensor product high-order FEM for a Poisson type equation

Zlotnik A.A., Zlotnik I.A.

Computational Mathematics and Mathematical Physics. 2020. Vol. 60. No. 2. P. 240-257.

Глава в книге
Innovation Development: Review and Estimation of Heterogeneity

Myachin A. L.

In bk.: Proceedings of the 20th International Conference on Group Decision and Negotiation. Ryerson University, 2020. P. 22.1-22.10.

Препринт
Matrix-vector approach to construct generalized centrality indices in networks

Aleskerov F. T., Yakuba V. I.

Математические методы анализа решений в экономике, бизнесе и политике. WP7. Высшая школа экономики, 2020. No. 2323.

Состоялось очередное заседание научного семинара "Политическая экономика"

Докладчик:    Ariane Lambert-Mogiliansky ( PSE Paris School of Economics)
Тема:    "Social Accountability to Contain Corruption"
In this paper we investigate the welfare properties of simple rules for reappointment aimed at holding a public official accountable and monitor his activity. The public official allocates budget resources to various activities which results in the delivery of public services to citizens. He has discretion over the use of resource so he can divert some of them for private ends. Because of a liability constraint, zero diversion can never be secured in all states. The optimal reappointment mechanism under complete information is shown to exhibit some leniency. Under asymmetric information (about the state), a rule with random verification in a pre-announced subset is shown to be optimal in a class of common rules. Surprisingly, those common rules make little use of hard information about service delivery when available. In contrast requesting that the PO defends his records publicly can be very useful if the service users can refute false claims with cheap talk complaints: the first best complete information outcome can be approached in the absence of any observation by the manager of the accountability mechanism.


Заседание состоялось 24 марта в 18:15 по адресу: г. Москва, улица Шаболовка, дом 26, корпус 4, аудитория 4322.