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Measuring Bias in Consumer Lending

Author

Listed:
  • Will Dobbie

    (Princeton University and NBER)

  • Andres Liberman

    (New York University)

  • Daniel Paravisini

    (London School of Economics and CEPR)

  • Vikram Pathania

    (University of Sussex)

Abstract
This paper tests for bias in consumer lending decisions using administrative data from a high-cost lender in the United Kingdom. We motivate our analysis using a simple model of bias in lending, which predicts that profits should be identical for loan applicants from different groups at the margin if loan examiners are unbiased. We identify the profitability of marginal loan applicants by exploiting variation from the quasi-random assignment of loan examiners. We find significant bias against both immigrant and older loan applicants when using the firm’s preferred measure of long-run profits. In contrast, there is no evidence of bias when using a short-run measure used to evaluate examiner performance, suggesting that the bias in our setting is due to the misalignment of firm and examiner incentives. We conclude by showing that a decision rule based on machine learning predictions of long-run profitability can simultaneously increase profits and eliminate bias.

Suggested Citation

  • Will Dobbie & Andres Liberman & Daniel Paravisini & Vikram Pathania, 2018. "Measuring Bias in Consumer Lending," Working Papers 623, Princeton University, Department of Economics, Industrial Relations Section..
    • Handle: RePEc:pri:indrel:623
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    More about this item

    Keywords

    Discrimination; Consumer Credit;

    JEL classification:

    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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