{
 "validation_errors": [],
 "doc_id": "jof_12522",
 "ontology_version": "1.0",
 "prompt_version": "1.0",
 "model": "claude-opus-5-5",
 "effort": "medium",
 "annotated_at": "2026-11-03T22:59:17+00:00",
 "source_sha256": "583feee465b88ccc5bebcb9ca367adf20c06c6c6c8ea43662c0bb8017cf71117",
 "parser": "pymupdf-jof-heuristics-1.3",
 "payload_chars": 21627,
 "usage": {
  "input": 7041,
  "output": 2274,
  "cache_read": 3968,
  "cache_write": 0
 },
 "cost_usd": 0.074438,
 "request_id": "req_011CggpjPkMd3HEbAgrGHxnf",
 "annotation": {
  "genre": "empirical",
  "subfield": "household_finance",
  "subfield_secondary": "financial_intermediation_banking",
  "primary_method": "regression_discontinuity",
  "identification": {
   "estimand": "Effect of an information-free credit rating downgrade on consumers' subsequent borrowing, borrower actions and market exit, plus the share of the post-default credit decline attributable to the credit-reporting downgrade itself.",
   "strategy": "Regression discontinuity around Peru's 'rule of twenty' rating-alignment regulation. The running variable is an exchange-rate-adjusted debt share, so currency movements push a bank's share across the 20% threshold. Complete-default outcomes are then decomposed by interacting default with the expected exogenous classification change.",
   "key_assumptions": [
    "Currency movements are exogenous to individual consumers",
    "No manipulation of the running variable around the 20% threshold",
    "Borrowers just above and just below the threshold are comparable",
    "Threshold crossing affects outcomes only through the rating alignment"
   ],
   "threats_addressed": [
    "Endogeneity of current-month balance changes (handled by using lagged, exchange-rate-adjusted balances)",
    "Covariate balance around the threshold",
    "Density manipulation (McCrary test)",
    "Placebo sample of borrowers with homogeneous loan ratings who should be unaffected"
   ],
   "causal_language_strength": 4,
   "uses_causal_claim": true
  },
  "abstract_moves": {
   "question": {
    "present": true,
    "sentence_index": 0
   },
   "gap": {
    "present": false,
    "sentence_index": -1
   },
   "method": {
    "present": true,
    "sentence_index": 1
   },
   "results": {
    "present": true,
    "sentence_index": 1
   },
   "magnitude": {
    "present": true,
    "sentence_index": 3
   },
   "contribution": {
    "present": false,
    "sentence_index": -1
   }
  },
  "introduction": {
   "moves": [
    {
     "paragraph_index": 0,
     "move": "motivation"
    },
    {
     "paragraph_index": 0,
     "move": "tension_or_puzzle"
    },
    {
     "paragraph_index": 1,
     "move": "preview_of_approach"
    },
    {
     "paragraph_index": 1,
     "move": "preview_of_results"
    },
    {
     "paragraph_index": 2,
     "move": "identification_defense"
    },
    {
     "paragraph_index": 3,
     "move": "preview_of_results"
    },
    {
     "paragraph_index": 4,
     "move": "related_literature_positioning"
    },
    {
     "paragraph_index": 4,
     "move": "contribution_statement"
    },
    {
     "paragraph_index": 5,
     "move": "preview_of_results"
    },
    {
     "paragraph_index": 5,
     "move": "mechanism_or_theory_sketch"
    },
    {
     "paragraph_index": 6,
     "move": "related_literature_positioning"
    },
    {
     "paragraph_index": 6,
     "move": "policy_or_broader_implication"
    },
    {
     "paragraph_index": 7,
     "move": "roadmap"
    }
   ],
   "contribution_paragraph_index": 4,
   "contribution_types": [
    "new_evidence",
    "new_identification"
   ],
   "roadmap_present": true,
   "literature_positioning_location": "inside_introduction"
  },
  "section_roles": [
   {
    "idx": 0,
    "role": "introduction"
   },
   {
    "idx": 1,
    "role": "data"
   },
   {
    "idx": 2,
    "role": "empirical_design"
   },
   {
    "idx": 3,
    "role": "results"
   },
   {
    "idx": 4,
    "role": "conclusion"
   }
  ],
  "results_presentation": {
   "economic_significance_discussed": true,
   "statistical_significance_language": "stars_and_tstats",
   "magnitude_statements_in_intro": true
  },
  "robustness": {
   "location": "within_results",
   "types": [
    "placebo",
    "alternative_specification",
    "falsification"
   ]
  },
  "tables": {
   "convention_notes": "Notes give the observation level (client-bank-month), the sample definition, and the equation estimated. Later tables point back to the baseline specification of Table IV. Stars mark significance levels. Outcomes are measured at 12-, 24- and 36-month horizons. Some variables are stated in soles.",
   "units_stated_in_notes": true,
   "standard_errors_description": "unclear"
  },
  "figures": {
   "uncertainty_shown": "unclear"
  },
  "conclusion": {
   "bounded_claims": true,
   "policy_implications": true,
   "open_questions": false,
   "restates_contribution": true
  },
  "hedging": {
   "level": "moderate",
   "typical_devices": [
    "suggest",
    "may",
    "appears to",
    "potentially",
    "in our sample"
   ]
  },
  "claim_evidence": [
   {
    "claim": "Complete default is associated with medium-term reductions in borrowing in a random sample of the full data set",
    "evidence_type": "table",
    "evidence_ref": "Table III"
   },
   {
    "claim": "Exchange-rate-adjusted share predicts actual crossing of the 20% threshold",
    "evidence_type": "table",
    "evidence_ref": "Table IV, Figure 1"
   },
   {
    "claim": "Borrowers just above and below the threshold look similar on observables, with no density manipulation",
    "evidence_type": "figure",
    "evidence_ref": "Table V, Figures 2-3"
   },
   {
    "claim": "Crossing the threshold produces a moderate-duration rating downgrade only for borrowers with heterogeneous ratings",
    "evidence_type": "table",
    "evidence_ref": "Table VI, Figure 4"
   },
   {
    "claim": "Shocked borrowers see lower loan balances, less new financing and fewer new relationships for three years",
    "evidence_type": "table",
    "evidence_ref": "Table VII, Figure 5"
   },
   {
    "claim": "Shocked borrowers pay down judicial-collection loans and zero out credit cards",
    "evidence_type": "table",
    "evidence_ref": "Table VIII, Figure 6"
   },
   {
    "claim": "Shocked borrowers are more likely to exit the consumer loan market at two- and three-year horizons",
    "evidence_type": "table",
    "evidence_ref": "Table IX, Figure 7"
   },
   {
    "claim": "The reporting downgrade accounts for 25-65% of the post-default credit decline",
    "evidence_type": "table",
    "evidence_ref": "Tables X-XI"
   }
  ],
  "structural_summary": "Opens from the macro debate on weak post-2008 recovery and household borrowing constraints, then asks why negative credit events have lasting effects. Establishes a descriptive default–credit association first. It then uses a regulatory threshold combined with currency-driven variation as an RD to isolate information-free downgrades. The design is validated through first stage, covariate balance, density and placebo checks. Effects are traced on financing, borrower actions and broader outcomes, and the paper ends with a decomposition of the post-default decline. Policy implications about macro-contingent credit-history forgiveness close both the introduction and the conclusion.",
  "writing_profile_keywords": [
   "regression discontinuity",
   "regulatory threshold",
   "credit reporting",
   "consumer credit",
   "Peru",
   "exchange rate variation",
   "decomposition",
   "policy implication"
  ],
  "confidence": 0.85,
  "notes": "Standard-error type is not visible in the excerpts. Robustness checks are embedded in results subsections rather than a separate section. An Internet Appendix exists, but its content is not visible."
 },
 "deterministic_checks": {
  "roadmap_regex": true,
  "contribution_regex_in_intro": false,
  "magnitude_in_abstract": true,
  "abstract_n_sentences": 6,
  "intro_n_paragraphs": 8,
  "intro_n_words": 1114,
  "causal_words_in_abstract": 1,
  "hedge_words_in_abstract": 1,
  "stars_mentioned": true,
  "clustered_se_mentioned": false,
  "internet_appendix_mentioned": false,
  "section_roles_rule": {
   "0": "introduction",
   "1": "data",
   "2": "empirical_design",
   "3": "results",
   "4": "conclusion"
  }
 },
 "schema_valid": true,
 "code_version": "feb6c9e-dirty"
}