To date, the use of empirical data in insolvency law analysis has been sporadic. This paper provides a conceptual framework for the use of data to assess the effectiveness and efficiency of insolvency systems. The paper analyzes the existing sources of data on insolvency proceedings, including general insolvency statistics, judicial statistics, statistics of insolvency regulators and other sources, and advocates for the design of special data collection mechanisms and statistics to conduct detailed assessments of insolvency systems and to assist in the design of legal reforms.

• Cover
• Contents
• I. INTRODUCTION
• II. CONCEPTUAL FRAMEWORK FOR THE USE OF DATA
• III. CURRENT DATA SOURCES TO ASSESS INSOLVENCY SYSTEMS
• IV. SPECIFIC INSOLVENCY STATISTICS
• V. CONCLUSION AND RECOMMENDATIONS
• BOXES
  • Box 1. Theory and practice in the “Resolving Insolvency” Indicator
  • Box 2: Examples of general insolvency statistics
  • Box 3. The Italian survey on the management of NPLs
  • Box 4. Relative Use of Insolvency Procedures
  • Box 5: Data collection in the EU draft Directive on preventive restructuring frameworks
  • Box 6. Impact Assessments and Insolvency Law Reforms
• FIGURES
  • Figure 1. Euler Hermes Insolvency Heat Map, 2018
  • Figure 2: Sources of insolvency data and data collection
  • Figure 3: Basic Flowchart of a Typical Insolvency Process
  • Figure 4: Flowchart for Chapter 11 Reorganization (USA)
  • Figure 5: Flowchart for Corporate Resolution Process (India)
  • Figure 6: Data and Design Loop
• REFERENCES
• References