# Data audit (P1)
| file | sha256 | rows | cols |
|---|---|---|---|
| data/model.csv | 098123961451e4f9a2e76afdbc83aec78066fc713d0645659c09b77b1636195b | 10 | 3 (parameter, value, description) |

Matches bundle.json hash. Parameters: alpha=0.36, beta=0.95, y_min=0.05, y_max=5.0, grid_points=400, grid_spacing=log, vfi_tolerance=1e-8, eval_y = 0.5, 1.0, 2.0.
No missing values, no duplicate parameter names, no dates (theoretical parameters). Units: output units; utils for value.
Anomalies: none. 0<alpha<1, 0<beta<1 as required for the closed form and contraction.
Note: the eval points are not grid nodes (log step 0.01154 from ln 0.05) -> interpolation needed (recorded in data_issues).
Grid adequacy: closed-form optimal y' = (alpha*beta*y)^alpha ranges over [0.231, 1.21] for y in [0.05, 5], inside the grid; steady state y* = 0.547. Confirmed in run: policy never hits grid bounds.
Information-availability: no violating inputs; only model.csv is used.
Exclusions: none (out/exclusions.csv, 10 -> 10 rows).