Reproducible methodology, open-source tools, and public datasets for empirical bankruptcy research.
The project analyzes bankruptcy filing and disposition data to identify potential Section 1328(f) discharge bar violations and measure practice quality metrics at the attorney and district level. The analysis covers the period from BAPCPA's effective date (October 17, 2005) through the most recent available data.
| Source | Coverage | Access |
|---|---|---|
| FJC Integrated Database (IDB) | All federal bankruptcy filings, aggregate statistics, disposition codes, district-level metrics | Free download from fjc.gov |
| PACER Case Locator | Individual case records, attorney attribution, filing/disposition dates, debtor names | Free searches; $0.10/page for documents (capped at $3). pcl.uscourts.gov |
| RECAP Archive | Crowd-sourced mirror of PACER documents via CourtListener | Free. courtlistener.com/recap |
The screening tools calculate the following metrics from the raw data:
The methodology is designed for reproducibility. The core screening tool is a single Python script (screen_1328f.py) that uses only Python 3 standard library modules -- no external dependencies, no pip install.
Full methodology documentation is published at 1328f.org, including known limitations, edge cases, and areas where the methodology may under- or over-count.
The dataset and methodology support research in several areas:
The project welcomes collaboration with academic researchers. Methodology reports, district-level data summaries, and additional documentation are available at 1328f.org. The tools are open source and researchers are free to extend, modify, or build upon the methodology.
Source code, screener scripts, methodology, and documentation. MIT license.
Interactive district-level metrics for all 94 federal bankruptcy districts.
Side-by-side comparison of dismissal, discharge, and prior filer rates.
Court decisions interpreting 1328(f) and related discharge bar provisions.
Section 1328(f) framework, timing rules, and Question 9 analysis.
Full methodology documentation, research reports, and data sources.