Pulina, Manuela and Paba, Antonello (2010): A discrete choice approach to model credit card fraud.
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This paper analyses the demographic, socio-economics and banking specific determinants that influence the risk of fraud in a portfolio of credit cards. The data are from recent account archives for cards issued throughout Italy. A logit framework is employed that incorporates cards at a risk of fraud as the dependent variable and a set of explanatory variables (e.g. gender, location, credit line, number of transactions in euros and in non euros currency). The empirical results provide useful indicators on the factors that are responsible for potential risk of fraud.
|Item Type:||MPRA Paper|
|Original Title:||A discrete choice approach to model credit card fraud|
|Keywords:||credit card; fraud; demographic and socio-economics factors; logit modelling.|
|Subjects:||D - Microeconomics > D1 - Household Behavior and Family Economics > D12 - Consumer Economics: Empirical Analysis
C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models; Multiple Variables > C35 - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks; Depository Institutions; Micro Finance Institutions; Mortgages
|Depositing User:||manuela pulina|
|Date Deposited:||15. Jan 2010 15:20|
|Last Modified:||11. Feb 2013 17:54|
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