{
  "version": 1,
  "generator": "scripts/build_downloads.py",
  "files": [
    {
      "file": "simulation_grid_cases.csv",
      "rows": 576,
      "columns": [
        "productivity_gain",
        "pass_through",
        "profit_tax_rate",
        "capture_share",
        "ownership",
        "tenure",
        "housing_rate_stress",
        "variants_completed_of_7",
        "matched_control_complete",
        "workers",
        "displaced_no_debt",
        "displaced_with_debt",
        "owners",
        "both_displaced_preserved_all_variants"
      ],
      "source": "data/processed/thesis_synthesis_v101.json",
      "description": "All 576 simulated cases: assumptions, completion across the 7 financing variants and whether each cohort kept 90% of initial consumption.",
      "sha256": "64fccbe8b24c349aa9c87a6011164c83420ca39908b14c084336e559265b5489"
    },
    {
      "file": "preservation_by_factor.csv",
      "rows": 18,
      "columns": [
        "factor",
        "level",
        "cases",
        "completed_all_variants",
        "both_displaced_preserved"
      ],
      "source": "data/processed/thesis_synthesis_v101.json",
      "description": "Joint preservation of both displaced cohorts by factor level. Counts conditional on completion, not probabilities.",
      "sha256": "b911922431ef51a2bd94eec45dbac1ab2d83c8d6a424be8ead77c40bd21c9ee7"
    },
    {
      "file": "gap_to_matched_control.csv",
      "rows": 4,
      "columns": [
        "cohort",
        "median_pct",
        "q1_pct",
        "q3_pct",
        "min_pct",
        "max_pct"
      ],
      "source": "data/processed/thesis_chapter_support_v196.json",
      "description": "Final non-housing real consumption against the matched control without automation, 42 cases (percent).",
      "sha256": "b8dc9e94732e95b3a7b38437292a0a15aa9426b92485e885cd4ef406a9aefa49"
    },
    {
      "file": "floor_sensitivity.csv",
      "rows": 4,
      "columns": [
        "floor_pct",
        "both_displaced_preserved_of_202"
      ],
      "source": "data/processed/thesis_chapter_support_v196.json",
      "description": "Number of the 202 completed cases preserving both displaced cohorts at different consumption floors.",
      "sha256": "d469cc471a021e8998a34a8cbd514cf263694818a92fc49e2866a6239e1c7f95"
    },
    {
      "file": "preservation_by_tenure_and_pass_through.csv",
      "rows": 12,
      "columns": [
        "tenure",
        "pass_through",
        "completed",
        "both_displaced_preserved"
      ],
      "source": "data/processed/mechanism_channels_v198.json",
      "description": "Preservation by housing tenure and pass-through (no-credit variant).",
      "sha256": "2592127f45f2ec08ea143f5069c4cc9ee5db7e65440518fc351734ef410d56ea"
    },
    {
      "file": "israel_housing_calibration.csv",
      "rows": 12,
      "columns": [
        "population",
        "benefit_indexed_to",
        "pass_through",
        "share_of_paths_preserved_pct"
      ],
      "source": "data/processed/israel_housing_v205.json",
      "description": "Partial calibration to Israel (CBS household expenditure survey 2024): share of grid paths preserving both displaced cohorts. Reweighted counts, not probabilities.",
      "sha256": "e4127b178ee9a812d8897d3d8898840af65ec8a1e8c5a28be29a57ed9a6ce81b"
    },
    {
      "file": "israel_unemployed_by_occupation.csv",
      "rows": 42,
      "columns": [
        "year",
        "isco_major_group",
        "ilo_exposure",
        "share_of_unemployed_pct",
        "share_of_employed_pct",
        "relative_risk"
      ],
      "source": "data/processed/israel_unemployed_occupation_v204.json",
      "description": "Israel, unemployed who worked in the past 12 months by last occupation (CBS LFS table 5.3) against employment (ILOSTAT), 2017-2024.",
      "sha256": "4ead15bf6e73dbebd36f06ae0740eb71ebf8d57a1a1a2083802aadbfdc0a4fe4"
    },
    {
      "file": "ai_exposure_isco2.csv",
      "rows": 40,
      "columns": [
        "isco08_2digit",
        "rank_of_40",
        "exposure_score",
        "min_4digit",
        "max_4digit",
        "occupations_4digit"
      ],
      "source": "data/ai_exposure_groups.json",
      "description": "ILO 2025 generative-AI exposure, unweighted mean of 4-digit scores by ISCO-08 2-digit group (rank 1 = most exposed).",
      "sha256": "057d762e7064afbade9e775aaac254d07e8bf0d871334896dab65511796c5ecb"
    }
  ],
  "citation": "Parnas, I. (2026). MacroVision: automation, unemployment and purchasing power. https://macrovisionresearch.com",
  "notes": "Simulation outputs are illustrative and uncalibrated; counts are not probabilities."
}