Document datasets, variables, sources, and merge keys for replication
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Help document datasets systematically for replication packages, co-author handoffs, and future reference.
When documenting a dataset, capture:
firm_year_panel.parquet)| Source | Access | Raw File | Notes |
|---|---|---|---|
| WRDS Compustat | Subscription | raw/compustat_funda.csv | Annual fundamentals |
| Revelio Labs | Licensed | raw/revelio_positions.parquet | Via BU server |
| Hand-collected | Manual | raw/manual_coding.xlsx | See coding protocol |
| Variable | Type | Description | Source | Notes |
|---|---|---|---|---|
gvkey | str | Compustat firm identifier | Compustat | Primary key |
fyear | int | Fiscal year | Compustat | |
at | float | Total assets ($ millions) | Compustat | Winsorized 1/99 |
treated | int | =1 if treated firm | Constructed | See section 4 |
For constructed/derived variables, document:
Variable: treated
Definition: =1 if firm received first PE investment in year t
Construction:
1. Merge PitchBook deals to Compustat on EIN
2. Keep first deal per firm
3. Flag year of first investment
Script: 2a_construct_treatment.py, lines 45-78
Document all filters applied:
| Filter | Observations Dropped | Remaining |
|---|---|---|
| Raw data | - | 150,000 |
| Drop financials (SIC 6000-6999) | 25,000 | 125,000 |
| Require non-missing assets | 5,000 | 120,000 |
| Require 2+ years in panel | 10,000 | 110,000 |
| Dataset A | Dataset B | Key(s) | Match Rate | Notes |
|---|---|---|---|---|
| Compustat | CRSP | gvkey | 95% | Via CCM link table |
| Compustat | PitchBook | EIN | 72% | Manual cleaning needed |
| Revelio | Compustat | company_name | 68% | Fuzzy match, see script |
================================================================================
CODEBOOK: firm_year_panel.dta
Generated: 2026-01-15
================================================================================
IDENTIFICATION
gvkey Compustat permanent firm identifier
fyear Fiscal year
OUTCOME VARIABLES
roa Return on assets = ni/at (winsorized 1/99)
investment Capex/lagged assets = capx/L.at
TREATMENT VARIABLES
post =1 for years after treatment
treated =1 for firms ever treated
treat_post Interaction: treated × post (DiD coefficient)
CONTROLS
size Log total assets = ln(at)
leverage Book leverage = (dltt+dlc)/at
mtb Market-to-book = (prcc_f×csho)/ceq
FIXED EFFECTS
ff48 Fama-French 48 industry classification
state State of incorporation
================================================================================
Before finalizing a dataset, verify:
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