Combating Fiscal Fraud and Empowering Regulators

Brigitte Unger, born in Austria in 1955, has studied economics at the Vienna University of Economics and at the Wirtschaftsuniversitaet Wien, where she also became professor. She was a Fulbright and Erwin Schroedinger visiting fellow at Harvard and Stanford University, and fellow at the Dutch Netherlands Institute for Advanced Behavioural Sciences. In 1993 she was nominated global leader for tomorrow by the World Economic Forum. Since 2002 she holds the chair of Economics of the Public Sector at the Utrecht University School of Economics. From 2012 until 2015 Brigitte Unger was also Director of the Institute of Economics and Social Sciences (WSI), in Düsseldorf. Her publications are on Corporatism, Economic Policy, Tax Competition, and Money Laundering. She did the first Money Laundering Measurement for the Netherlands in 2006, has published six books with Edward Elgar on Money Laundering and several academic articles on it. Lucia Rossel Flores is currently a PhD candidate at Utrecht School of Economics. She holds a BSc in Political Science from Universidad del Desarrollo in Chile and a MSc in Economics of Public Policy and Management from Utrecht University School of Economics. Her main interests are the interplay between law, political science and economics in regard to taxation, the behavioral aspects of tax compliance, as well as inequality and development. She is a member of the COFFERS team. Joras Ferwerda holds a Bachelor in Economics and Law, a Master in Economics and Social Sciences and a PhD in Economics from the Utrecht University School of Economics in the Netherlands. He is currently Assistant Professor of the Economics of the Public Sector chair at the Utrecht University School of Economics in the Netherlands. He was Visiting Professor at the University of Maryland, College Park at the department of Criminology and Criminal Justice. He was Senior Researcher at the section Criminology of VU University Amsterdam for an EU-funded research project on risk models for money laundering.