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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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An offer you can refuse: The effect of transparency with endogenous conflict of interest

Journal of Public Economics. 2018. Vol. 161. P. 44–55.
Kartal M., Tremewan J. C.

We study the effects of transparency on information transmission and decision making theoretically and experimentally. We develop a model in which a decision maker seeks advice from a better-informed adviser whose advice might be swayed by financial incentives. Transparency enables the decision maker to learn whether or not the adviser accepted such an incentive, for example from an “interested” third party. Prior theoretical and experimental research mostly found that transparency is ineffective or harmful to decision makers. Our model predicts that transparency is never harmful and, depending on equilibrium selection, may improve the accuracy of decision makers. In our experiment transparency does indeed improve accuracy, especially if it is mandatory.

Research target: Economics and Management
Language: English
DOI
Keywords: transparencyconflict of interestexperimental game theorystrategic information transmission
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