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Journal of Accounting and Economics Vol. 68 No. 2-3 2019

Making sense of soft information: interpretation bias and loan quality

Dennis Campbell1; Maria Loumioti2; Regina Wittenberg-Moerman3

1 Harvard Business School, USA · 2 The University of Texas at Dallas · 3 University of Southern California

Abstract

We explore whether cognitive constraints and behavioral biases impede the processing and interpretation of soft information in private lending. Using data from a credit union's internal reporting system, we delineate three constraints and biases likely to affect lending decisions: limited attention, task-specific human capital and common identity. We find that soft information leads to worse loan quality when loan officers are busy or before weekends and around national holidays; when they have prior sales experience; and when both the officers and borrowers are men. We provide evidence of non-agency-related costs in the use of soft information in lending decisions.

DOI
10.1016/j.jacceco.2019.101240
Volume
68
Issue
2-3
Pages
101240
Language
en
Sources
bibtex:phds-export.bib crossref openalex

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