Measuring time inconsistency using financial transaction data

  • Improving financial conditions of individuals requires an understanding of the mechanisms through which bad financial decision-making leads to worse financial outcomes. From a theoretical point of view, a key candidate inducing mistakes in financial decision-making are so called present-biased preferences, which are one of the cornerstones of behavioral economics. According to theory, present-biased households should behave systematically different when it comes to consumption and saving decisions, as they should be more prone to spending too much and saving too little. In this policy letter we show how high frequency financial transaction data available in digitized form allows to precisely categorize individual financial-decision making to be present-biased or not. Using this categorization, we find that one out of five individuals in our sample exhibits present-bias and that this present-biased behavior is associated with a stronger use of overdrafts. As overdrafts represent a particularly expensive way of short-term borrowing, their systematic use can be interpreted as a measure of suboptimal financial-decision making. Overall, our results indicate that the combination of economic theory and Big Data is able to generate valuable insights with applications for policy makers and businesses alike.

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Metadaten
Author:Andrej Gill, Florian HettGND, Johannes Tischer
URN:urn:nbn:de:hebis:30:3-472291
URL:https://safe-frankfurt.de/de/policy-center/publikationen/detailsview/publicationname/measuring-time-inconsistency-using-financial-transaction-data.html
Parent Title (English):SAFE white paper ; No. 55
Series (Serial Number):SAFE white paper series (55)
Publisher:SAFE
Place of publication:Frankfurt am Main
Document Type:Working Paper
Language:English
Year of Completion:2018
Year of first Publication:2018
Publishing Institution:Universit├Ątsbibliothek Johann Christian Senckenberg
Release Date:2018/08/15
Tag:financial decision-making; financial transaction data; present bias; time inconsistency
Page Number:8
HeBIS-PPN:436139766
Institutes:Wirtschaftswissenschaften / Wirtschaftswissenschaften
Wissenschaftliche Zentren und koordinierte Programme / House of Finance (HoF)
Wissenschaftliche Zentren und koordinierte Programme / Center for Financial Studies (CFS)
Wissenschaftliche Zentren und koordinierte Programme / Sustainable Architecture for Finance in Europe (SAFE)
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Sammlungen:Universit├Ątspublikationen
Licence (German):License LogoDeutsches Urheberrecht