Learning to save in a voluntary pension system: toward an agent-based model by András SIMONOVITS and Balázs KIRÁLY was published in Journal of Economic Interaction and Coordination.
Mandatory pension systems partially replace old-age income, therefore the government matches additional life-cycle savings in a voluntary pension system. Though the individual saving decisions are apparently independent, the earmarked taxes (paid to finance the matching) connect them. Previous models either neglected the endogenous tax expenditures (e.g. Choi et al., in: Wise (ed) Perspectives in the economics of aging, University of Chicago Press, Chicago, pp 81–121, 2004) or assumed very sophisticated saving strategies (e.g. Fehr et al. in FinanzArchiv Pub Finance Anal 64:171–198, 2008). We create twin models: myopic workers learn (i) from farsighted workers using public information (analytic model) and (ii) also from each other (agent-based model). These models provide more realistic results on saving behavior and the impact of matching on the income redistribution than the earlier models.
Venue: MTA HTK 1097 Budapest Tóth Kálmán u. 4. fszt. K013-14-es előadóterem Ride-share matching algorithms generate income inequality Eszter Bokányi and Anikó Hannák Abstract Despite the potential of online sharing economy platforms such as Uber, Lyft, ... Details »
Venue: MTA HTK 1097 Budapest Tóth Kálmán u. 4. fszt. K011-12-es előadóterem Kiss Hubert János: Coopetition in group contest https://www.mtakti.hu/wp-content/uploads/2019/05/MTDP1911.pdf Share this:FacebookLinkedInTwitter
“Opinion leaders – experts of social relations” was presented by Balázs SZIKLAI at the EURO2019 – 30th European Conference on Operational Research. Share this:FacebookLinkedInTwitter
Download “Coopetition in group contest” by Hubert János Kiss – Alfonso Rosa-Garcia – Vita Zhukova here. Abstract There are situations in which competitors ally ... Details »
Ata Atay‘s two recent workings papers have been published and are accessible at the following links: A bargaining set for roommate ... Details »