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1{2 "validation_errors": [],3 "repairs": [4  "dropped figures.note"5 ],6 "doc_id": "jof_12546",7 "ontology_version": "1.0",8 "prompt_version": "1.0",9 "model": "claude-opus-5-5",10 "effort": "medium",11 "annotated_at": "2026-11-03T23:26:10+00:00",12 "source_sha256": "54a87712bbe3d47ae775768397244d621ba5ae9d1089237b69f32029755574d2",13 "parser": "pymupdf-jof-heuristics-1.3",14 "payload_chars": 19588,15 "usage": {16  "input": 6759,17  "output": 2113,18  "cache_read": 3968,19  "cache_write": 020 },21 "cost_usd": 0.07009,22 "request_id": "req_011Cggpn37DmwWz9ecfjEuPU",23 "annotation": {24  "genre": "mixed_theory_empirical",25  "subfield": "international_finance",26  "subfield_secondary": "asset_pricing",27  "primary_method": "theoretical_model_analytical",28  "identification": {29   "estimand": "Cross-sectional association between countries' trade composition (import ratio of finished vs. basic goods) and currency interest rates, excess returns and global risk exposure. Time-series association between relative productivity and real exchange rates and interest rate differentials.",30   "strategy": "A general equilibrium model generates predictions, which are tested with cross-sectional regressions, portfolio sorts, and GMM/Fama-MacBeth asset pricing tests. Time-series regressions relate relative productivity to real exchange rates and rates, and predictive regressions use the Baltic Dry Index.",31   "key_assumptions": [32    "Covered interest parity holds, so forward discounts approximate interest differentials",33    "Model structure: comparative advantage, convex trade costs, inelastic trade channel",34    "Import ratio proxies a country's specialization type"35   ],36   "threats_addressed": [37    "Controls for GDP size and inflation in cross-sectional regressions",38    "Carry-sorted portfolios compared with import-ratio sorts",39    "G10 subsample versus full sample"40   ],41   "causal_language_strength": 2,42   "uses_causal_claim": false43  },44  "abstract_moves": {45   "question": {46    "present": false,47    "sentence_index": -148   },49   "gap": {50    "present": false,51    "sentence_index": -152   },53   "method": {54    "present": true,55    "sentence_index": 256   },57   "results": {58    "present": true,59    "sentence_index": 360   },61   "magnitude": {62    "present": false,63    "sentence_index": -164   },65   "contribution": {66    "present": true,67    "sentence_index": 268   }69  },70  "introduction": {71   "moves": [72    {73     "paragraph_index": 0,74     "move": "motivation"75    },76    {77     "paragraph_index": 0,78     "move": "tension_or_puzzle"79    },80    {81     "paragraph_index": 0,82     "move": "preview_of_approach"83    },84    {85     "paragraph_index": 1,86     "move": "preview_of_results"87    },88    {89     "paragraph_index": 2,90     "move": "preview_of_results"91    },92    {93     "paragraph_index": 2,94     "move": "mechanism_or_theory_sketch"95    },96    {97     "paragraph_index": 3,98     "move": "related_literature_positioning"99    }100   ],101   "contribution_paragraph_index": 0,102   "contribution_types": [103    "new_theory_or_model",104    "new_evidence"105   ],106   "roadmap_present": false,107   "literature_positioning_location": "inside_introduction"108  },109  "section_roles": [110   {111    "idx": 0,112    "role": "introduction"113   },114   {115    "idx": 1,116    "role": "theory"117   },118   {119    "idx": 2,120    "role": "results"121   },122   {123    "idx": 3,124    "role": "conclusion"125   },126   {127    "idx": 4,128    "role": "appendix"129   },130   {131    "idx": 5,132    "role": "appendix"133   },134   {135    "idx": 6,136    "role": "appendix"137   },138   {139    "idx": 7,140    "role": "appendix"141   }142  ],143  "results_presentation": {144   "economic_significance_discussed": true,145   "statistical_significance_language": "unclear",146   "magnitude_statements_in_intro": false147  },148  "robustness": {149   "location": "within_results",150   "types": [151    "subsample",152    "alternative_specification"153   ]154  },155  "tables": {156   "convention_notes": "Notes define variable construction (import ratio, relative productivity against an equal-weighted basket of trading partners) and data frequency, and annualize returns. Results are reported for the full sample and the G10 subsample. Asset pricing tests use both GMM and Fama-MacBeth.",157   "units_stated_in_notes": true,158   "standard_errors_description": "unclear"159  },160  "figures": {161   "uncertainty_shown": "unclear"162  },163  "conclusion": {164   "bounded_claims": true,165   "policy_implications": false,166   "open_questions": false,167   "restates_contribution": true168  },169  "hedging": {170   "level": "moderate",171   "typical_devices": [172    "'tend to' generalizations",173    "'helps rationalize' framing of the mechanism",174    "'consistent with' the data"175   ]176  },177  "claim_evidence": [178   {179    "claim": "Sorting currencies on import ratios yields large spreads in interest rates and excess returns, largely subsuming the carry trade",180    "evidence_type": "table",181    "evidence_ref": "Table VI, Table VII"182   },183   {184    "claim": "Import ratios explain the cross-section of forward discounts and FX returns",185    "evidence_type": "table",186    "evidence_ref": "Table II, Figure 5"187   },188   {189    "claim": "Final-good producers are more exposed to global output shocks",190    "evidence_type": "figure",191    "evidence_ref": "Figure 6"192   },193   {194    "claim": "Relative productivity tracks real exchange rates and real interest rate differentials",195    "evidence_type": "table",196    "evidence_ref": "Tables III-IV, Figures 7-8"197   },198   {199    "claim": "The Baltic Dry Index (shipping costs) forecasts carry trade returns",200    "evidence_type": "table",201    "evidence_ref": "Table VIII"202   },203   {204    "claim": "In the model, the commodity-country currency is risky because domestic production insulates that country from global shocks",205    "evidence_type": "equation_or_proof",206    "evidence_ref": "Section I, Appendix A"207   },208   {209    "claim": "Unconditional currency risk premia are substantial",210    "evidence_type": "prior_literature",211    "evidence_ref": "Lustig, Roussanov, and Verdelhan (2011); Hassan and Mano (2014)"212   }213  ],214  "structural_summary": "The introduction opens with the carry trade and the puzzle of heterogeneous currency risk, and proposes trade composition as its source. It then previews model predictions and empirical confirmations, and positions the paper within the UIP-failure literature. A long model section derives exchange rates, risk premia, import ratios, trade costs and conditional implications, ending with a summary of implications. A long empirical section tests each implication in turn: portfolios, asset pricing tests, productivity regressions, and a case study of the financial crisis. A brief conclusion restates the evidence and the mechanism, and appendices hold proofs and derivations.",215  "writing_profile_keywords": [216   "model-then-test",217   "general equilibrium",218   "prediction-by-prediction validation",219   "portfolio sorts",220   "carry trade",221   "case study"222  ],223  "confidence": 0.8,224  "notes": "The introduction is truncated, so there may be a roadmap or a more explicit contribution paragraph that is not visible. The type of standard errors is not visible in the excerpts."225 },226 "deterministic_checks": {227  "roadmap_regex": false,228  "contribution_regex_in_intro": false,229  "magnitude_in_abstract": false,230  "abstract_n_sentences": 7,231  "intro_n_paragraphs": 4,232  "intro_n_words": 708,233  "causal_words_in_abstract": 0,234  "hedge_words_in_abstract": 1,235  "stars_mentioned": false,236  "clustered_se_mentioned": false,237  "internet_appendix_mentioned": false,238  "section_roles_rule": {239   "0": "introduction",240   "1": "theory",241   "2": "results",242   "3": "conclusion",243   "4": "appendix",244   "5": "appendix",245   "6": "appendix",246   "7": "appendix"247  }248 },249 "schema_valid": true,250 "code_version": "87c73cd-dirty"251}
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