{
  "experiment": 12,
  "name": "sensitivity_oat",
  "hypothesis": "Sensitivity and convergence: qualitative results (signs) are robust to +-25% parameter changes and to the G family; equilibrium objects converge in the number of seller types and in tolerances; Monte Carlo simulation of the listing process matches analytic hazards and prices.",
  "rows": 23,
  "columns": [
    "parameter",
    "mult",
    "value",
    "converged",
    "theta",
    "d_theta",
    "dlog_theta",
    "price_mean",
    "d_price_mean",
    "dlog_price_mean",
    "mean_tom_sold_months",
    "d_mean_tom_sold_months",
    "dlog_mean_tom_sold_months",
    "D_urgent",
    "d_D_urgent",
    "dlog_D_urgent",
    "D_mean",
    "d_D_mean",
    "dlog_D_mean",
    "price_between_share",
    "d_price_between_share",
    "dlog_price_between_share",
    "price_sd_total",
    "d_price_sd_total",
    "dlog_price_sd_total",
    "Q",
    "d_Q",
    "dlog_Q",
    "S",
    "d_S",
    "dlog_S",
    "welfare_total",
    "d_welfare_total",
    "dlog_welfare_total",
    "base_theta",
    "base_price_mean",
    "base_mean_tom_sold_months",
    "base_D_urgent",
    "base_D_mean",
    "base_price_between_share",
    "base_price_sd_total",
    "base_Q",
    "base_S",
    "base_welfare_total"
  ],
  "env": {
    "python": "3.14.4",
    "numpy": "2.4.4",
    "scipy": "1.17.1",
    "pandas": "3.0.2",
    "config_hash": "0a165f317815d76c",
    "seed": 20261020,
    "timestamp": "2026-10-20T08:04:46"
  }
}