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Global cognitive graph properties dynamics of hippocampal formation

Sorokin K., Beketov M., Magaj G. et al.

In bk.: Data Analytics and Management in Data Intensive Domains, 25th International Conference, DAMDID/RCDL 2023, Moscow, Russia, October 24–27, 2023, Revised Selected Papers. Vol. 2086: Communications in Computer and Information Science. Springer, 2024. P. 77-87.

Препринт
Equilibrium existence and uniqueness in additive trade models

Slepov Fedor, Kokovin S. G.

Basic research program. WP BRP. National Research University Higher School of Economics, 2023. No. 262/EC/2023.

Выступление профессора Карса Хомса

Рады сообщить о предстоящем открытом семинаре, организованном СПб ШЭМ НИУ ВШЭ при поддержке ЕУСПб и Голландского Института,  на котором с докладом «Expectations in the Laboratory» выступит  известный специалист по экспериментальной экономике и формированию ожиданий, профессор Карс Хомс. Семинар состоится 21 октября в 17:30 по адресу: Кантемировская улица, д.3, корп. 1, лит. А, ауд. 346. Семинар проходит при поддержке Голландского института в Санкт-Петербурге.

Для заказа временного пропуска в здание НИУ ВШЭ просьба сообщить ваши ФИО и место работы по адресу: eavdonina@hse.ru (Авдониной Е.С.). Ждем всех заинтересовавшихся преподавателей, исследователей, студентов.

Открытый семинар совмещен с XXV заседанием регулярного научного семинара департамента экономики.



Abstract

We present a survey of learning-to-forecast experiments (LtFEs) with human subjects to test theories of expectations and learning. Subjects must repeatedly forecast a market price, whose realization is an aggregation of individual expectations. Emphasis is given to how individual forecasting rules interact at the micro-level and which structure they co-create at the aggregate macro-level. It turns out that the type of expectations feedback is crucial for the (in)stability of experimental markets. Negative feedback systems, such as supply driven commodity markets, are rather stable and quickly settle down to the rational equilibrium. Positive feedback systems, such as speculative asset markets, are rather unstable and fluctuate wildly around the fundamental equilibrium with repeated bubbles and crashes. We also discuss a behavioural heuristics switching model, where agents switch between strategies based upon their relative performance, that matches individual as well as aggregate behaviour of the lab experiments quite nicely. 

 


Cars Hommes holds a Ph-D in Mathematical Economics in 1991 from the University of Groningen and is professor of Economic Dynamics at the University of Amsterdam. In 1998 he obtained a prestigious Pionier-grant from the Netherlands Organization of Scientific Research (NWO) to start the Center for Nonlinear Dynamics in Economics and Finance (CeNDEF), an interdisciplinary research group on complex systems applications in economics and finance. He held visiting positions at University of Wisconsin, Stanford University and New York University.

CH is particularly well known from his influential work with William Brock (University of Wisconsin, USA), developing a behavioral theory of heterogeneous expectations and its applications to economics and finance. The CeNDEF group has tested the heterogeneous expectations hypothesis empirical and in laboratory experiments and CH is one of the pioneers in Experimental Macroeconomics.

CH has published more than 100 articles in leading journals and book chapters, has been Editor of the Journal of Economic Dynamics and Control 2002-2012 and currently is member of five editorial boards of international journals. He has obtained several grants from the Dutch Science Foundation (NWO), the European Commission (EC) and is an Institute of New Economic Thinking (INET) grantee. He is the President Elect of the Society of Computational Economics (SCE), 2014-2016, the author of the recent book Behavioral Rationality and Heterogeneous Expectations in Complex Economic Systems, Cambridge University Press, 2013 and winner of the Distinguished Lorentz Fellowship 2014 in the Netherlands for his interdisciplinary research.