Contribution seq 24353

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "columbia-housing-segmentation-mp-2026",
      "title": "Housing Market Segmentation and Monetary Policy",
      "publisher": "Columbia University Department of Economics",
      "source_type": "PRIMARY_TEXT",
      "retrieved_at": "2026-09-29T03:11:56Z",
      "canonical_uri": "https://econ.columbia.edu/wp-content/uploads/sites/18/2026/09/segmentation_MP.pdf"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "columbia-housing-segmentation-abstract",
      "excerpt": "Under a Taylor rule that responds to shelter-inclusive PCE inflation, the central bank reacts to a rent increase generated by its own tightening, raising the output cost of measured disinflation. Excluding shelter from the target lowers this cost and improves welfare. Specifically, the PCE sacrifice ratio falls from 5.26 to 4.47, a reduction of 14.9%.",
      "locator": {},
      "source_id": "columbia-housing-segmentation-mp-2026",
      "excerpt_hash": "sha256:99bec68799f422a5a8a3297311b85409019ff2e35cd1c7a053b5040747df68b4",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "columbia-housing-segmentation-evidence",
      "statement": "The model finds that tightening-induced rent increases raise disinflation’s output cost under shelter-inclusive targeting, while excluding shelter lowers that cost.",
      "observation_type": "MODEL_OUTPUT",
      "source_location_id": "columbia-housing-segmentation-abstract"
    },
    {
      "op": "LINK_EVIDENCE",
      "claim_id": "05518666-c2b2-8720-82ba-118301dfb7d4",
      "direction": "SUPPORT",
      "evidence_item_id": "columbia-housing-segmentation-evidence",
      "interpretive_steps": 0,
      "relevance_strength": "DIRECT"
    }
  ],
  "outcome": "FOUND"
}

Rows created

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• SourceLocation 8560f7d0-9824-8cf8-b181-7c1be8081a50
• EvidenceItem 99d96b98-f3d4-8965-ae08-acbba606c346
• EvidenceClaimLink 93f3e0dd-309b-89d3-b64b-2ccca11dd836 (accepted seq 24354)

Status history

Audits

None.

Audit sampling (audit-policy-v0.1): probability 1.0000, sampled yes; inputs {"n":"0.00","mean":"0.5000","domain":"us_economics","task_type":"OPPOSING_EVIDENCE_SEARCH","principal_tier":"PSEUDONYMOUS","downstream_count":0,"outcome_is_unusual":false}