2019
DOI: 10.1016/j.econlet.2019.01.028
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Bank runs as a coordination problem within a two-bank set-up: Who will survive?

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Cited by 6 publications
(9 citation statements)
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“…The results of the study indicates that even if the liquidities of banks are not linked to each other's, the collapse of a bank significantly affects the other bank's default. Shakina (2019) examines the effect of switching deposits from one bank to another in case of a two bank scenario. Shakina (2019)'s results indicate that the first bank is subject to runs more intensely than the second bank.…”
Section: Policy Oriented Literature Of Bank Runsmentioning
confidence: 99%
See 2 more Smart Citations
“…The results of the study indicates that even if the liquidities of banks are not linked to each other's, the collapse of a bank significantly affects the other bank's default. Shakina (2019) examines the effect of switching deposits from one bank to another in case of a two bank scenario. Shakina (2019)'s results indicate that the first bank is subject to runs more intensely than the second bank.…”
Section: Policy Oriented Literature Of Bank Runsmentioning
confidence: 99%
“…Therefore rather than withdrawing their money from the banking system entirely, the depositors choose to move their deposits from one bank to another. The originality of Shakina (2019) stems from the non-exogenous structure of panics.…”
Section: Policy Oriented Literature Of Bank Runsmentioning
confidence: 99%
See 1 more Smart Citation
“…This fundamental vulnerability is highlighted by Diamond and Dybvig (1983) who model the situation as a coordination game with two equilibria: a Pareto-optimal equilibrium in which only those depositors in immediate need of money withdraw and a bank run equilibrium in which all depositors withdraw. The model has inspired a large theoretical literature on bank runs and is more recently also being used in a growing number of experimental studies, looking at, among other things, the effectiveness of deposit insurance and suspension of convertibility (Madies, 2006;Davis and Reilly, 2016), the role of information, uncertainty, and sunspots (Schotter and Yorulmazer, 2009;Garratt and Keister, 2009;Kiss et al, 2012Kiss et al, , 2018aShakina and Angerer, 2018;Arifovic and Jiang, 2019;Arifovic et al, 2020), the influence of a bank's vulnerability to early withdrawals (Arifovic et al, 2013), and the effects of a (possible) bank run on other banks (Chakravarty et al, 2014;Brown et al, 2017;Duffy et al, 2019;Shakina, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Other experimental bank run studies also don't find differences in risk aversion scores between people that choose to withdraw and people that choose to wait(Kiss et al, 2014(Kiss et al, , 2016(Kiss et al, , 2018aShakina, 2019), but there is some indication that loss aversion plays a role in these type of coordination games(Trautmann and Vlahu, 2013;Kiss et al, 2018a).…”
mentioning
confidence: 96%