Reference : Essays on Networks, Information Economics, and Dynamic Games of Populism and Conflict
Dissertations and theses : Doctoral thesis
Business & economic sciences : Microeconomics
http://hdl.handle.net/10993/44657
Essays on Networks, Information Economics, and Dynamic Games of Populism and Conflict
English
Hakobyan, Zaruhi mailto [University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > >]
2020
University of Luxembourg, ​Luxembourg, ​​Luxembourg
Higher School of Economics, ​Moscow, ​​Russia
DOCTEUR DE L’UNIVERSITÉ DU LUXEMBOURG EN SCIENCES ÉCONOMIQUES/Doctor of Philosophy IN Economics
173
Koulovatianos, Christos mailto
Arbatli, Eren Cemal mailto
Steri, Roberto mailto
Zakharov, Alexey mailto
Asriyan, Vladimir mailto
Guriev, Sergei mailto
[en] network dynamics ; higher-order beliefs ; differential games ; endogenous growth ; tragedy of the commons ; Lagrange-d’Alembert equation ; optimal decisions
[en] This thesis focuses on developing tools and models for studying strategic interaction among agents in dynamics games. This dissertation consists of one pure theory paper and two applied theory papers. The first chapter develops a general result in differential games. This is an area for studying strategic interactions when agents are forward-looking and calculate their future strategic interactions. The second and third chapters deal with the problem of strategic interactions under incomplete information, in the context of networks. In the second chapter, the analytical tools for linking up strategic actions with the evolution of a network are developed. The last chapter extends the second chapter by recommending network-manager strategies that can lead to welfare-improving network evolution under incomplete information. The thesis presents the first studies to propose a search and matching mechanism of network friends in an environment of incomplete information, higher-order beliefs, and evolutionary dynamics.
Researchers ; Professionals
http://hdl.handle.net/10993/44657
https://www.hse.ru/sci/diss/196171657

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