2026-09-19T22:20:06Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1096892022-01-13T07:54:52Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Antoinette Schoar.
Jambulapati, Vikram
Sloan School of Management.
Sloan School of Management
2017-06-06T19:25:32Z
2017-06-06T19:25:32Z
2017
2017
http://hdl.handle.net/1721.1/109689
988751058
Thesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 22-23).
Left-digit bias refers to the tendency of individuals to focus attention on the leftmost digit of numerical information when making decisions. This paper tests for the existence of left-digit bias in the consumer credit card market. Using a regression-discontinuity design, I find sharp increases in credit card repayments around $1,000 monthly balance thresholds. The estimated effect, an approximately $20 increase in repayment, translates to about 4.35 percent of the average payment. However, I find smaller effects on future repayment behavior and the amount of future purchases. Finally, I find the effect to be stronger in higher self-reported income groups..
by Vikram Jambulapati.
S.M. in Management Research
30 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Sloan School of Management.
Financial decisions of households
Thesis
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<Abstract>Left-digit bias refers to the tendency of individuals to focus attention on the leftmost digit of numerical information when making decisions. This paper tests for the existence of left-digit bias in the consumer credit card market. Using a regression-discontinuity design, I find sharp increases in credit card repayments around $1,000 monthly balance thresholds. The estimated effect, an approximately $20 increase in repayment, translates to about 4.35 percent of the average payment. However, I find smaller effects on future repayment behavior and the amount of future purchases. Finally, I find the effect to be stronger in higher self-reported income groups..</Abstract>
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