Results 151 to 160 of about 615,163 (297)
Neural mechanisms of credit card spending. [PDF]
Banker S, Dunfield D, Huang A, Prelec D.
europepmc +1 more source
A flexible framework for intervention analysis applied to credit-card usage during the coronavirus pandemic. [PDF]
Ho ATY, Morin L, Paarsch HJ, Huynh KP.
europepmc +1 more source
ABSTRACT Family financial assistance with home ownership has attracted significant scholarly attention in recent years. However, the role of culture and ethnicity, transnational ties, and migration in this practice remains significantly under‐addressed.
Julia Cook
wiley +1 more source
RHSOFS: Feature Selection Using the Rock Hyrax Swarm Optimization Algorithm for Credit Card Fraud Detection System. [PDF]
Padhi BK +4 more
europepmc +1 more source
An Empirical Analysis of Personal Bankruptcy and Delinquency [PDF]
This paper uses a unique new panel data set of credit card accounts to analyze credit card delinquency and more generally personal bankruptcy and the stability of credit risk models.
David B. Gross, Nicholas S. Souleles
core
Description, Articulation and Limitations in the Social Theory of Insurance
ABSTRACT There have been surprisingly few sustained efforts to explain or theorise the role insurance plays in society. Even the most theoretically inflected insurance scholarship, emanating from governmentality and Actor Network Theory scholarship, tends to be grounded in empirical cases, set in particular periods and places, and it is often ...
Liz McFall
wiley +1 more source
Credit card fraud detection using a hierarchical behavior-knowledge space model. [PDF]
Nandi AK +4 more
europepmc +1 more source
Financial settlement modes and corruption: Evidence from developed nations [PDF]
Using recent pooled data from several developed nations, the paper uniquely examines whether the composition of payment instruments has a bearing on the prevalence of corruption in a country.
Goel, Rajeev K., Mehrotra, Aaron
core
ABSTRACT Most research questions in agricultural and applied economics are causal in nature: they study how changes in one or more variables (such as policies, prices or weather) affect one or more other variables (e.g., income, crop yields or pollution).
Arne Henningsen +6 more
wiley +1 more source
Enhancing credit card fraud detection with a hybrid approach using machine and deep learning. [PDF]
Gamal N, Younis EMG, Makram WM.
europepmc +1 more source

