1{2 "validation_errors": [],3 "doc_id": "jof_12735",4 "ontology_version": "1.0",5 "prompt_version": "1.0",6 "model": "claude-opus-5-5",7 "effort": "medium",8 "annotated_at": "2026-11-03T23:05:51+00:00",9 "source_sha256": "a40b52777ace9595b06b5842de4f96b34b2c9744dc27c17df9c1e37d4f518f83",10 "parser": "pymupdf-jof-heuristics-1.3",11 "payload_chars": 22093,12 "usage": {13 "input": 7469,14 "output": 2316,15 "cache_read": 3968,16 "cache_write": 017 },18 "cost_usd": 0.07699,19 "request_id": "req_011CggqEP9CqRshJLfZq9a2i",20 "annotation": {21 "genre": "empirical",22 "subfield": "financial_intermediation_banking",23 "subfield_secondary": "international_finance; macro_finance",24 "primary_method": "reduced_form_regression",25 "identification": {26 "estimand": "Effect of foreign (U.S., U.K., Eurozone) monetary policy rate shocks and QE on credit supply of the corresponding foreign banks in Mexico, on borrower risk-taking, and on firm-level real outcomes",27 "strategy": "Loan-level supervisory credit register panel with borrower or borrower×month fixed effects (Khwaja–Mian style), interacting foreign policy shocks with bank nationality. Foreign policy is treated as exogenous to Mexico. Firm×bank and state×industry×month fixed effects are used for single-bank borrowers. Firm-level regressions capture real effects and credit substitution; bank-level regressions capture liabilities and risk.",28 "key_assumptions": [29 "Foreign monetary policy is exogenous to Mexican economic conditions",30 "Borrower×time fixed effects absorb credit demand and firm fundamentals",31 "Taylor-rule residuals proxy for policy rate shocks",32 "Central bank balance sheet to GDP proxies for QE"33 ],34 "threats_addressed": [35 "Credit demand confounding",36 "Foreign banks lending to different types of firms",37 "Global shocks (period fixed effects)",38 "Firms substituting toward other credit sources",39 "Endogeneity of local monetary policy"40 ],41 "causal_language_strength": 4,42 "uses_causal_claim": true43 },44 "abstract_moves": {45 "question": {46 "present": true,47 "sentence_index": 048 },49 "gap": {50 "present": false,51 "sentence_index": -152 },53 "method": {54 "present": true,55 "sentence_index": 056 },57 "results": {58 "present": true,59 "sentence_index": 160 },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": "policy_or_broader_implication"79 },80 {81 "paragraph_index": 1,82 "move": "preview_of_approach"83 },84 {85 "paragraph_index": 1,86 "move": "identification_defense"87 },88 {89 "paragraph_index": 2,90 "move": "preview_of_approach"91 },92 {93 "paragraph_index": 2,94 "move": "identification_defense"95 },96 {97 "paragraph_index": 3,98 "move": "preview_of_results"99 },100 {101 "paragraph_index": 4,102 "move": "preview_of_results"103 },104 {105 "paragraph_index": 5,106 "move": "preview_of_results"107 },108 {109 "paragraph_index": 6,110 "move": "mechanism_or_theory_sketch"111 },112 {113 "paragraph_index": 7,114 "move": "contribution_statement"115 },116 {117 "paragraph_index": 7,118 "move": "related_literature_positioning"119 },120 {121 "paragraph_index": 8,122 "move": "roadmap"123 }124 ],125 "contribution_paragraph_index": 7,126 "contribution_types": [127 "new_identification",128 "new_evidence"129 ],130 "roadmap_present": true,131 "literature_positioning_location": "inside_introduction"132 },133 "section_roles": [134 {135 "idx": 0,136 "role": "introduction"137 },138 {139 "idx": 1,140 "role": "empirical_design"141 },142 {143 "idx": 2,144 "role": "results"145 },146 {147 "idx": 3,148 "role": "results"149 },150 {151 "idx": 4,152 "role": "conclusion"153 },154 {155 "idx": 5,156 "role": "appendix"157 }158 ],159 "results_presentation": {160 "economic_significance_discussed": true,161 "statistical_significance_language": "unclear",162 "magnitude_statements_in_intro": true163 },164 "robustness": {165 "location": "mixed",166 "types": [167 "alternative_specification",168 "alternative_sample_period"169 ]170 },171 "tables": {172 "convention_notes": "Table notes give the estimator (OLS), sample period, and level of aggregation (firm-bank-month or firm-year). They define dependent variables and sample classification rules. Appendix tables define variables with units (thousands of pesos, months). Lagged-policy panels are reported separately.",173 "units_stated_in_notes": true,174 "standard_errors_description": "unclear"175 },176 "figures": {177 "uncertainty_shown": "no"178 },179 "conclusion": {180 "bounded_claims": true,181 "policy_implications": true,182 "open_questions": true,183 "restates_contribution": true184 },185 "hedging": {186 "level": "moderate",187 "typical_devices": [188 "results suggest",189 "consistent with",190 "proxy for",191 "may",192 "mainly/mostly"193 ]194 },195 "claim_evidence": [196 {197 "claim": "Foreign policy rate cuts raise credit supply mainly via banks of the same nationality in Mexico, e.g., about 2.1% higher volume per one-SD cut.",198 "evidence_type": "table",199 "evidence_ref": "Table II panels"200 },201 {202 "claim": "The Mexican policy rate affects lending by all banks regardless of nationality, with smaller magnitude.",203 "evidence_type": "table",204 "evidence_ref": "Table II Panel A"205 },206 {207 "claim": "Foreign monetary softening produces firm-level real effects on assets, investment, employment and survival, net of credit substitution.",208 "evidence_type": "table",209 "evidence_ref": "Table III"210 },211 {212 "claim": "Credit expansion and ex post defaults rise for borrowers with high ex ante loan rates, consistent with reach-for-yield.",213 "evidence_type": "table",214 "evidence_ref": "Table IV"215 },216 {217 "claim": "Under foreign softening, foreign subsidiaries increase foreign and short-term liabilities, expand balance sheets and experience more defaults.",218 "evidence_type": "none_stated",219 "evidence_ref": "bank-level results; table not visible in excerpts"220 },221 {222 "claim": "Strong credit growth financed by foreign liabilities predicts financial crises.",223 "evidence_type": "prior_literature",224 "evidence_ref": "Jorda, Schularick, and Taylor (2011); Gourinchas and Obstfeld (2012)"225 }226 ],227 "structural_summary": "Opens with macro-financial and policy motivation, citing policymakers' concerns about spillovers. Describes identification via loan-level Mexican register data with fixed effects and exogenous foreign policy shocks. Previews loan-level, risk-taking, bank-level and real-effect results with magnitudes. Sketches a reach-for-yield mechanism, states the identification contribution against the international and risk-taking literatures, and gives a roadmap. A single empirical strategy section is followed by a results section organized by loan, firm, and risk-taking outcomes. The conclusion restates results and offers policy coordination implications and future research.",228 "writing_profile_keywords": [229 "credit register",230 "Khwaja-Mian fixed effects",231 "international spillovers",232 "risk-taking channel",233 "policy-oriented",234 "magnitude-rich introduction",235 "QE"236 ],237 "confidence": 0.8,238 "notes": "Section 3 appears to be a parsing artifact (a table panel title) that continues the results section. Standard error treatment is not visible in the excerpts. A robustness mention ('robust results') appears, and lagged-policy specifications are in Table IIC. An internet appendix exists."239 },240 "deterministic_checks": {241 "roadmap_regex": true,242 "contribution_regex_in_intro": true,243 "magnitude_in_abstract": false,244 "abstract_n_sentences": 7,245 "intro_n_paragraphs": 9,246 "intro_n_words": 1393,247 "causal_words_in_abstract": 0,248 "hedge_words_in_abstract": 0,249 "stars_mentioned": false,250 "clustered_se_mentioned": false,251 "internet_appendix_mentioned": true,252 "section_roles_rule": {253 "0": "introduction",254 "1": "empirical_design",255 "2": "results",256 "3": "other",257 "4": "conclusion",258 "5": "appendix"259 }260 },261 "schema_valid": true,262 "code_version": "feb6c9e-dirty"263}