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How data breaches affect consumer credit

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  • Mikhed, Vyacheslav
  • Vogan, Michael

Abstract

We use the 2012 South Carolina Department of Revenue data breach as a natural experiment to study how data breaches and news coverage about them affect consumers’ interactions with the credit market and their use of credit. We find that some consumers directly exposed to the breach protected themselves against potential losses from future fraudulent use of stolen information by monitoring their files and freezing access to their credit reports. However, these consumers continued their regular use of existing credit cards and did not switch lenders. The response of consumers exposed to the news about the breach only was negligible.

Suggested Citation

  • Mikhed, Vyacheslav & Vogan, Michael, 2018. "How data breaches affect consumer credit," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 192-207.
  • Handle: RePEc:eee:jbfina:v:88:y:2018:i:c:p:192-207
    DOI: 10.1016/j.jbankfin.2017.12.002
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    References listed on IDEAS

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    Cited by:

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    2. Iyer, Subramanian R. & Simkins, Betty J. & Wang, Heng, 2020. "Cyberattacks and impact on bond valuation," Finance Research Letters, Elsevier, vol. 33(C).
    3. Cao, Hung & Phan, Hieu V. & Silveri, Sabatino, 2024. "Data breach disclosures and stock price crash risk: Evidence from data breach notification laws," International Review of Financial Analysis, Elsevier, vol. 93(C).
    4. Nathan Blascak & Ying Lei Toh, 2022. "Prior Fraud Exposure and Precautionary Credit Market Behavior," Working Papers 22-36, Federal Reserve Bank of Philadelphia.
    5. Vitaly Meursault & Daniel Moulton & Larry Santucci & Nathan Schor, 2022. "One Threshold Doesn’t Fit All: Tailoring Machine Learning Predictions of Consumer Default for Lower-Income Areas," Working Papers 22-39, Federal Reserve Bank of Philadelphia.
    6. Sumit Agarwal & Pulak Ghosh & Tianyue Ruan & Yunqi Zhang, 2024. "Transient Customer Response to Data Breaches of Their Information," Management Science, INFORMS, vol. 70(6), pages 4105-4114, June.

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    More about this item

    Keywords

    Identity theft; Fraud alert; Data breach; Consumer protection; Credit report;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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