Understanding Bank-Run Contagion [Dataset] (doi:10.11588/data/10074)

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Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Understanding Bank-Run Contagion [Dataset]

doi:10.11588/data/10074

heiDATA

2016-05-03

1

Trautmann, Stefan T.; Brown, Martin; Vlahu, Razvan, 2016, "Understanding Bank-Run Contagion [Dataset]", https://doi.org/10.11588/data/10074, heiDATA, V1, UNF:5:KUriC0VYM6pSi7sO2HjL/g== [fileUNF]

Understanding Bank-Run Contagion [Dataset]

doi:10.11588/data/10074

Trautmann, Stefan T. (Alfred-Weber-Institute of Economics)

Brown, Martin (Alfred-Weber-Institute of Economics)

Vlahu, Razvan (Alfred-Weber-Institute of Economics)

Trautmann, Stefan T.

Brown, Martin

Vlahu, Razvan

2012

heiDATA

heiDATA: Heidelberg Research Data Repository

Stefan Trautmann; University of Heidelberg Bergheimer Str. 58 (Room 01.029) 69115 Heidelberg, Germany; Phone: +49 6221 54 2952; Fax: +49 6221 54 3592

2016-05-02

https://doi.org/10.11588/data/10074

Social Sciences, Contagion, Bank runs, Systemic risk

We study experimental coordination games to examine through which transmission channels, and under which information conditions, a panic-based depositor-run at one bank may trigger a panic-based depositor-run at another bank. We find that withdrawals at one bank trigger withdrawals at another bank by increasing players’ beliefs that other depositors in their own bank will withdraw, making them more likely to withdraw as well. Observed withdrawals only affect depositors’ beliefs, and are thus contagious, when they form an informative signal about bank fundamentals.

Netherlands

behavioral experiment; laboratory

We would like to make these data and do-files freely available. People using the data should cite the data/publication.

Brown, M., S.T. Trautmann, and R. E. Vlahu (2016). Understanding Bank-Run Contagion. Management Science, forthcoming.

10.1287/mnsc.2015.2416

Brown, M., S.T. Trautmann, and R. E. Vlahu (2016). Understanding Bank-Run Contagion. Management Science, forthcoming.

• Number of cases: 264

• No. of variables per record: 33

• Type of File: text/tab-separated-values

UNF:5:KUriC0VYM6pSi7sO2HjL/g==

• id - id
• groupid - groupid
• base - base
• nolink - nolink
• link - link
• leader - leader
• strongbankr1 - strongbankr1
• strongbankr2 - strongbankr2
• withdrawr1 - withdrawr1
• withdrawr2 - withdrawr2
• partnerwithdrawr1 - partnerwithdrawr1
• partnerwithdrawr2 - partnerwithdrawr2
• numbwithdrawalsseen - numbwithdrawalsseen
• beliefbankprofitable_7max_r1 - beliefbankprofitable_7max_r1
• beliefotherwithdraws_7max_r1 - beliefotherwithdraws_7max_r1
• beliefbankprofitable_7max_r2 - beliefbankprofitable_7max_r2
• beliefotherwithdraws_7max_r2 - beliefotherwithdraws_7max_r2
• no_risky_choices - no_risky_choices
• lossaversion - lossaversion
• lossaversion_med - lossaversion_med
• loss_av1 - loss_av1
• loss_av2 - loss_av2
• loss_av3 - loss_av3
• loss_av4 - loss_av4
• loss_av5 - loss_av5
• loss_av6 - loss_av6
• male - male
• age - age
• study - study
• dutch1 - dutch1
• numbBankAccounts - numbBankAccounts
• BankRelationship - BankRelationship
• NewAccount - NewAccount

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