Use when building or auditing the empirical data and estimation pipeline for a Journal of Banking & Finance manuscript, including financial datasets, bank panels, winsorization, fixed effects, robustness, and reproducible scripts.
Scanned 6/5/2026
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---
name: jbf-data-analysis
description: Use when building or auditing the empirical data and estimation pipeline for a Journal of Banking & Finance manuscript, including financial datasets, bank panels, winsorization, fixed effects, robustness, and reproducible scripts.
---
# Data Analysis (jbf-data-analysis)
## When to trigger
- You are constructing the sample, variables, or estimation pipeline
- Results need robustness, heterogeneity, mechanism, or economic-magnitude checks
- Proprietary finance datasets require a reproducible but non-redistributable workflow
## Data construction
1. **Document every source**: CRSP, Compustat, Call Reports, BankFocus, Dealscan,
TRACE, OptionMetrics, FDIC, SEC EDGAR, FRED, or private hand-collected data.
2. **Define the unit of observation**: bank-quarter, firm-year, loan facility,
security-day, country-year, event-firm, etc.
3. **Show sample attrition**: raw data, filters, merges, missing variables,
winsorization, final sample.
4. **Name variable construction rules**: scaling, deflation, lagging, exchange
rates, identifiers, and industry/bank classifications.
5. **Separate proprietary raw data from shareable code** so the replication
package can be legal and useful.
## Estimation checklist
- Use fixed effects and clustering that match the design.
- Report economic magnitudes in finance units: basis points, percentage of assets,
capital ratio points, loan-spread basis points, abnormal returns, default odds.
- Provide robustness over winsorization, sample windows, variable definitions, and
alternative outcome measures.
- For event studies, report CAR/BHAR windows and benchmark choices.
- For bank panels, test sensitivity to crisis periods, large banks, mergers, and
regulatory regime changes.
## Reproducibility
- Keep a single `run_all` entry point that regenerates tables and figures.
- Pin software versions and random seeds.
- Store intermediate files only when they materially reduce runtime; document how
they are made.
- Prepare a data-access README for licensed sources.
## Output format
```text
[Sample] unit + period + observations
[Data sources] ...
[Key variables] ...
[Main estimator] ...
[Robustness queue] ...
[Reproducibility gaps] ...
[Next step] jbf-tables-figures
```
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