{
  "task_id": "F1-conf-01",
  "first_growth_month": "2001-01",
  "last_month": "2026-09",
  "n_months_growth": 308,
  "n_months_missing_growth": 1,
  "n_analysed": 308,
  "mean_growth_12m": 2.5741201901,
  "mean_growth_12m_2001_2013": 2.3612153974,
  "mean_growth_12m_2014_2026": 2.7926277404,
  "growth_2014_06": 2.0976342439,
  "growth_2016_07": 0.8683633431,
  "growth_2020_05": 0.1982013036,
  "growth_2022_06": 8.9793611031,
  "growth_2026_09": 3.7172508443,
  "max_growth_12m": 8.9793611031,
  "max_growth_month": "2022-06",
  "min_growth_12m": -1.9587610038,
  "min_growth_month": "2009-07",
  "feasibility": "partial",
  "feasibility_reason": "g_t not computable for 1 month(s) of the 309-month window (2025-10) because the most recent vintage publishes no index level for 2025-10; all other estimands computed.",
  "data_issues": [
    {
      "issue": "cpi_vintage_2026-10-28.csv has an empty cpi cell (no published value) for 2025-10",
      "handling": "Not imputed and not filled from the older vintage (the 2016 vintage does not cover it); g_t for 2025-10 is missing and counted (the dependent month 2026-10 lies outside the window and outside source coverage)."
    },
    {
      "issue": "cpi_assembled.csv: 30 overlap months (2014-01..2016-06) take the 2016-07-15 value instead of the most recent (2026-10-28) vintage",
      "handling": "Assembled file not used; series rebuilt from the two vintage files with the most-recent-vintage rule."
    },
    {
      "issue": "cpi_assembled.csv: months present in cpi_vintage_2026-10-28.csv are absent: 2016-07",
      "handling": "Assembled file not used."
    },
    {
      "issue": "cpi_assembled.csv: 123 rows labelled 2026-10-28 do not match cpi_vintage_2026-10-28.csv at the same date (values appear shifted by one month from 2016-08 onward; dates beyond source coverage: ['2026-10']; missing value placed at 2025-11 instead of 2025-10)",
      "handling": "Assembled file not used."
    }
  ],
  "n_input_rows": {
    "cpi_vintage_2016-07-15.csv": 834,
    "cpi_vintage_2026-10-28.csv": 153,
    "cpi_assembled.csv": 957
  },
  "random_seed": null,
  "n_window_months": 309,
  "missing_growth_months": [
    "2025-10"
  ],
  "n_growth_2001_2013": 156,
  "n_growth_2014_2026": 152,
  "sd_growth_12m": 1.7407883259
}