1{2 "validation_errors": [],3 "doc_id": "jof_12407",4 "ontology_version": "1.0",5 "prompt_version": "1.0",6 "model": "claude-opus-5-5",7 "effort": "medium",8 "annotated_at": "2026-11-03T22:55:23+00:00",9 "source_sha256": "9fd05d6953387ae8c54afe8d8da512039663ccbaae7b4fdea5537f05e603ba72",10 "parser": "pymupdf-jof-heuristics-1.3",11 "payload_chars": 20359,12 "usage": {13 "input": 6624,14 "output": 1972,15 "cache_read": 3968,16 "cache_write": 017 },18 "cost_usd": 0.06673,19 "request_id": "req_011CggpSEVX1d38giR4Rjxbb",20 "annotation": {21 "genre": "empirical",22 "subfield": "corporate_finance",23 "subfield_secondary": "international_finance",24 "primary_method": "instrumental_variables",25 "identification": {26 "estimand": "Causal effect of the local same-ethnicity resident population share near firm headquarters on the firm's export/import ratio with that country",27 "strategy": "Fixed-effects panel regressions of trade ratios on Connected Population, followed by IV using the WWII Japanese internment camp locations as exogenous shocks to local Japanese population; placebo tests on other Asian populations",28 "key_assumptions": [29 "Internment camp locations affect current firm trade with Japan only through local Japanese population",30 "Camp siting was unrelated to factors driving later firm trade with Japan"31 ],32 "threats_addressed": [33 "Reverse causality: firms bringing in foreign populations when planning trade",34 "Omitted common factors driving co-location of ethnic groups and trading firms",35 "Familiarity bias versus value-creating information channel"36 ],37 "causal_language_strength": 4,38 "uses_causal_claim": true39 },40 "abstract_moves": {41 "question": {42 "present": false,43 "sentence_index": -144 },45 "gap": {46 "present": false,47 "sentence_index": -148 },49 "method": {50 "present": true,51 "sentence_index": 152 },53 "results": {54 "present": true,55 "sentence_index": 056 },57 "magnitude": {58 "present": false,59 "sentence_index": -160 },61 "contribution": {62 "present": true,63 "sentence_index": 364 }65 },66 "introduction": {67 "moves": [68 {69 "paragraph_index": 0,70 "move": "motivation"71 },72 {73 "paragraph_index": 1,74 "move": "preview_of_approach"75 },76 {77 "paragraph_index": 1,78 "move": "preview_of_results"79 },80 {81 "paragraph_index": 1,82 "move": "identification_defense"83 },84 {85 "paragraph_index": 2,86 "move": "preview_of_results"87 },88 {89 "paragraph_index": 3,90 "move": "preview_of_results"91 },92 {93 "paragraph_index": 4,94 "move": "mechanism_or_theory_sketch"95 },96 {97 "paragraph_index": 4,98 "move": "preview_of_results"99 },100 {101 "paragraph_index": 5,102 "move": "mechanism_or_theory_sketch"103 },104 {105 "paragraph_index": 5,106 "move": "roadmap"107 }108 ],109 "contribution_paragraph_index": -1,110 "contribution_types": [111 "new_evidence",112 "new_data_or_measure",113 "new_identification"114 ],115 "roadmap_present": true,116 "literature_positioning_location": "separate_section"117 },118 "section_roles": [119 {120 "idx": 0,121 "role": "introduction"122 },123 {124 "idx": 1,125 "role": "literature"126 },127 {128 "idx": 2,129 "role": "data"130 },131 {132 "idx": 3,133 "role": "results"134 },135 {136 "idx": 4,137 "role": "empirical_design"138 },139 {140 "idx": 5,141 "role": "results"142 },143 {144 "idx": 6,145 "role": "results"146 },147 {148 "idx": 7,149 "role": "robustness"150 },151 {152 "idx": 8,153 "role": "conclusion"154 }155 ],156 "results_presentation": {157 "economic_significance_discussed": true,158 "statistical_significance_language": "stars_and_tstats",159 "magnitude_statements_in_intro": true160 },161 "robustness": {162 "location": "mixed",163 "types": [164 "placebo",165 "alternative_measure",166 "subsample",167 "other"168 ]169 },170 "tables": {171 "convention_notes": "Table notes write out the regression equation, define dependent and key variables, and list the fixed effects. IV tables report first and second stages in separate panels. Descriptive tables give dollar values in billions.",172 "units_stated_in_notes": true,173 "standard_errors_description": "unclear"174 },175 "figures": {176 "uncertainty_shown": "no_figures"177 },178 "conclusion": {179 "bounded_claims": false,180 "policy_implications": false,181 "open_questions": false,182 "restates_contribution": true183 },184 "hedging": {185 "level": "low",186 "typical_devices": [187 "plausibly exogenous",188 "consistent with",189 "point to"190 ]191 },192 "claim_evidence": [193 {194 "claim": "Firms trade more with countries whose ethnic group is well represented near headquarters",195 "evidence_type": "table",196 "evidence_ref": "Table III"197 },198 {199 "claim": "Internment camps caused persistent local Japanese population shifts that raise trade with Japan",200 "evidence_type": "table",201 "evidence_ref": "Table V"202 },203 {204 "claim": "Placebo checks support the instrument; no effect on other Asian populations",205 "evidence_type": "table",206 "evidence_ref": "Table VI"207 },208 {209 "claim": "Strategic exporters see about 11% higher future profitability than nonstrategic exporters",210 "evidence_type": "table",211 "evidence_ref": "Table VII"212 },213 {214 "claim": "Connected networks raise cross-border M&A and foreign segment sales",215 "evidence_type": "table",216 "evidence_ref": "Tables VIII, IX"217 },218 {219 "claim": "Network effects are stronger with low tariffs and differentiated goods; connected trades get better prices",220 "evidence_type": "table",221 "evidence_ref": "Tables X, XI"222 },223 {224 "claim": "Connected board members are associated with 68% more exports to the connected country",225 "evidence_type": "table",226 "evidence_ref": "Table III (board member variable)"227 }228 ],229 "structural_summary": "Opens with the global-markets motivation and introduces local resident networks. The intro previews the correlational trade results, flags the endogeneity concern and the internment-camp instrument, then previews value effects, M&A and segment extensions, the board channel and mechanism tests, and closes with a roadmap. The body runs: literature section, data, baseline fixed-effects results, a long IV section (natural experiment, placebos, corroboration, pre-war firms), real effects, other corporate decisions, and mechanism tests. A short conclusion restates the contribution.",230 "writing_profile_keywords": [231 "natural experiment",232 "instrumental variables",233 "novel trade data",234 "ethnic networks",235 "mechanism tests",236 "economic magnitudes in intro"237 ],238 "confidence": 0.8,239 "notes": "Standard error treatment is not visible in the excerpts. 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