Refereed Journals/Books

2022

Rosario Maggistro, Paolo Pellizzari, Elena Sartori & Marco Tolotti (2022) “Dangerous tangents: an application of ΓΓ-convergence to the control of dynamical systems”, Decisions in Economics and Finance, Accesses https://doi.org/10.1007/s10203-022-00372-z .

Reissl, S. (2022) “Fiscal multipliers, expectations and learning in a macroeconomic agent-based model”, Economic Inquiry, advance access, https://doi.org/10.1111/ecin.13084

Terranova, R., E. M. Turco (2022) Concentration, stagnation and inequality: An agent-based approach. Journal of Economic Behavior and Organization, Vol. 193, January 2022, Pages 569-595.
https://doi.org/10.1016/j.jebo.2021.11.002

2021

Bouveret, G., A. Mandel (2021) Social interactions and the prophylaxis of SI epidemics on networks. Journal of Mathematical Economics, Vol. 93, March 2021.
https://doi.org/10.1016/j.jmateco.2021.102486

2020

Mandel, A.,V. P. Veetil (2020) The Economic Cost of COVID Lockdowns:
An Out-of-Equilibrium Analysis. Economics of Disasters and Climate Change, Vol 4, pp. 431–451, 2020.
https://doi.org/10.1007/s41885-020-00066-z

Grabisch, M., A. Rusinowska (2020) A Survey on Nonstrategic Models of Opinion Dynamics. Games, 11(4), 65, 2020. https://doi.org/10.3390/g11040065

Reissl, S. (2020) Minsky from the bottom up – Formalising the two-price model of investment in a simple agent-based framework. Journal of Economic Behavior & Organization, Vol. 177, p. 109-142., Sept. 2020,
https://doi.org/10.1016/j.jebo.2020.06.012

Luo, Ch., A. Mauleon, V. Vannetelbosch (2020) Network Formation with Myopic and Farsighted Players. Economic Theory, 71, 1288-1317, 2021.https://link.springer.com/article/10.1007/s00199-020-01288-8

Reissl, S. (2020) Heterogeneous expectations, forecasting behaviour and policy experiments in a hybrid Agent-based Stock-flow-consistent model. Journal of Evolutionary Economics, 31, 251–299, 2021. https://doi.org/10.1007/s00191-020-00683-7.

Grabisch, M., F. Li, (2020) Anti-conformism in the Threshold Model of Collective Behavior. Dyn Games Appl 10, 444–477. https://doi.org/10.1007/s13235-019-00332-0

2019

Garcia Alvarado F. (2019) Network Effects in an Agent-Based Model of Tax Evasion with Social Influence, in: Demazeau Y., Matson E., Corchado J., De la Prieta F. (eds) Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection, PAAMS 2019, Lecture Notes in Computer Science, vol 11523, Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-24209-1_7

Rusinowska, A., Taalaibekova, A., “Opinion formation and targeting when persuaders have extreme and centrist opinions”, Journal of Mathematical Economics, Volume 84, October 2019, Pages 9-27.
https://www.sciencedirect.com/science/article/pii/S0304406819300618?dgcid=coauthor

Lavoie, M. & S. Reissl, “Further insights on endogenous money and the liquidity preference theory of interest“,
Journal of Post Keynesian Economics, 42:4, 503-526, 2019 DOI: 10.1080/01603477.2018.1548286

2018

Taalaibekova, A., “Opinion formation in social networks”, Operations Research and Decisions, Vol. 28, No. 2
http://www.ord.pwr.wroc.pl/index.php?s=archive