Building a Comprehensive White-Collar Crime Data System

This project will focus on the design and implementation of a new statistical series that integrates criminal, civil, and regulatory enforcement data to comprehensively describe the federal response to white collar violations.

The project requires data collection on federal regulatory agency enforcement actions and the comprehensive classification of the varied types of white collar violations and federal government actions imposed by regulatory agencies, and federal criminal and civil courts.

The University of Maryland (UMD) will develop methods for reconciling regulatory data to improve comparability among regulatory agencies (e.g., establishing a common unit of analysis, common reporting periods, etc.). UMD, with BJS and representatives of selected regulatory agencies, will participate in a kick-off meeting to discuss the broader project goal of creating a comprehensive white collar violations statistical reporting system across regulatory, criminal, and civil justice systems and the proximate goal of the "building out" of the regulatory venue of white collar enforcement statistics.

Further, the project requires development of methods to integrate data from regulatory agencies with criminal and affirmative civil enforcement data that BJS receives from the Executive Office for U.S. Attorneys and the Administrative Office of the U.S. Courts. CA/NCF