Dr Constantine Sorokin

  • Lecturer (Economics)

Biography

Constantine Sorokin joined the University of Glasgow Adam Smith Business Schoolin 2019 as Lecturer of Economics. He holds both an undergraduate and PhD degree in mathematics from Lomonosov Moscow State University. From 2010 to 2018, Constantine worked as an Assistant/Associate Professor at the National Research University Higher School of Economics, Moscow, Russia. Constantine’s research interests are focused around game theory, both from mathematical and economical perspectives.

Research interests

Constantine is a member of the School's Microeconomics research cluster.

Areas of expertise:

  • Bayesian persuasion
  • Mechanism design
  • Stochastic voting
  • Local public goods and foot-voting
  • Decentralised arbitration

Publications

List by: Type | Date

Jump to: 2022 | 2018 | 2016 | 2014
Number of items: 5.

2022

Bergemann, Dirk, Heumann, Tibor, Morris, Stephen, Sorokin, Constantine ORCID logoORCID: https://orcid.org/0000-0001-5228-5843 and Winter, Eyal (2022) Optimal information disclosure in classic auctions. American Economic Review: Insights, 4(3), pp. 371-388. (doi: 10.1257/aeri.20210504)

2018

Sorokin, Constantine ORCID logoORCID: https://orcid.org/0000-0001-5228-5843 and Zakharov, Alexei (2018) Vote-motivated candidates. Journal of Economic Theory, 176, pp. 232-254. (doi: 10.1016/j.jet.2018.03.010)

Deryugina, Elena, Ponomarenko, Alexey, Sinyakov, Andrey and Sorokin, Constantine ORCID logoORCID: https://orcid.org/0000-0001-5228-5843 (2018) Evaluating underlying inflation measures for Russia. Macroeconomics and Finance in Emerging Market Economies, 11(2), pp. 124-145. (doi: 10.1080/17520843.2017.1301511)

2016

Bespalova, Elizaveta, Moskalenko, Alim, Safin, Alexander, Sorokin, Constantine ORCID logoORCID: https://orcid.org/0000-0001-5228-5843 and Yagolkovsky, Andrey (2016) Finding the Sweet Spot in the City: a Monopolistic Competition Approach. In: Third Workshop on Experimental Economics and Machine Learning, Moscow, Russia, 18 Jul 2018, pp. 73-81.

2014

Zakharov, Alexei V. and Sorokin, Constantine S. ORCID logoORCID: https://orcid.org/0000-0001-5228-5843 (2014) Policy convergence in a two-candidate probabilistic voting model. Social Choice and Welfare, 43(2), pp. 429-446. (doi: 10.1007/s00355-013-0786-3)

This list was generated on Sun Jun 15 13:15:06 2025 BST.
Number of items: 5.

Articles

Bergemann, Dirk, Heumann, Tibor, Morris, Stephen, Sorokin, Constantine ORCID logoORCID: https://orcid.org/0000-0001-5228-5843 and Winter, Eyal (2022) Optimal information disclosure in classic auctions. American Economic Review: Insights, 4(3), pp. 371-388. (doi: 10.1257/aeri.20210504)

Sorokin, Constantine ORCID logoORCID: https://orcid.org/0000-0001-5228-5843 and Zakharov, Alexei (2018) Vote-motivated candidates. Journal of Economic Theory, 176, pp. 232-254. (doi: 10.1016/j.jet.2018.03.010)

Deryugina, Elena, Ponomarenko, Alexey, Sinyakov, Andrey and Sorokin, Constantine ORCID logoORCID: https://orcid.org/0000-0001-5228-5843 (2018) Evaluating underlying inflation measures for Russia. Macroeconomics and Finance in Emerging Market Economies, 11(2), pp. 124-145. (doi: 10.1080/17520843.2017.1301511)

Zakharov, Alexei V. and Sorokin, Constantine S. ORCID logoORCID: https://orcid.org/0000-0001-5228-5843 (2014) Policy convergence in a two-candidate probabilistic voting model. Social Choice and Welfare, 43(2), pp. 429-446. (doi: 10.1007/s00355-013-0786-3)

Conference Proceedings

Bespalova, Elizaveta, Moskalenko, Alim, Safin, Alexander, Sorokin, Constantine ORCID logoORCID: https://orcid.org/0000-0001-5228-5843 and Yagolkovsky, Andrey (2016) Finding the Sweet Spot in the City: a Monopolistic Competition Approach. In: Third Workshop on Experimental Economics and Machine Learning, Moscow, Russia, 18 Jul 2018, pp. 73-81.

This list was generated on Sun Jun 15 13:15:06 2025 BST.

Supervision

  • Decentralised arbitration
  • Bayesian persuasion and information design
  • Role of information in stochastic voting

Teaching

  • Game theory
  • Decision theory
  • Social choice
  • Mechanism design
  • Mathematical optimisation

Additional information