# Data audit (P1)

• File: data/model.csv, SHA-256 098123961451e4f9a2e76afdbc83aec78066fc713d0645659c09b77b1636195b (matches bundle.json).
• 10 rows x 3 columns (parameter, value, description). No missing values, no duplicate parameter names.
• 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 points 0.5, 1.0, 2.0 (units of output). value column is mixed (string 'log'), parsed per parameter.
• Anomalies: none. All eval points lie inside [y_min, y_max] but none is a grid node (ln-step 0.011542) -> linear interpolation in ln y, as permitted by TASK.md.
• Feasibility of grid: deterministic steady state y* = (alpha*beta)^(alpha/(1-alpha)) ~= 0.547 is inside the grid; the optimal next-period y from y_min (0.231) and y_max (1.21) are interior, so the grid bounds should not bind (confirmed: 0 bound hits).
• Some (y, y') pairs are infeasible (need investment >= y); they are assigned -inf utility, not removed from the grid.
• Information-availability: theoretical parameters only, no violation. No exclusions applied.