This paper examines the impact of tax evasion on criminal activities in Italy. Precisely, we consider three types of crime particularly related to economic determinants: property crimes (including robberies, thefts and car thefts), frauds and usury. By using annual data for the Italian provinces...

We study the consequences of leniency - reduced legal sanctions for wrongdoers who spontaneously self-report to law enforcers - on sequential, bilateral, illegal transactions, such as corruption, manager-auditor collusion, or drug deals. It is known that leniency helps deterring illegal...

This paper examines the impact of tax evasion on criminal activities in Italy. Specifically, we consider three types of crime that are related to economic determinants: property crimes (including robbery, theft and car theft), fraud and usury. We estimate a dynamic panel using annual data from...

Research published by the SWIFT Institute in August 2017, titled “Sharing Insider Threat Indicators: Examining the Potential Use of SWIFT's Messaging Platform to Combat Cyber Fraud” proposed a protocol for sharing insider threat activities between financial institutions. Building from the...

This paper explores how issues and malfeasances relating to cybersecurity and cyber fraud differ based on gender, primarily focusing on women in relation to use of mobile-phone centric digital financial services (DFS) in developing countries in Africa and South Asia.We find that women within the...