1{2 "validation_errors": [],3 "repairs": [],4 "doc_id": "jof_12830",5 "ontology_version": "1.0",6 "prompt_version": "1.0",7 "model": "claude-opus-5-5",8 "effort": "medium",9 "annotated_at": "2026-11-03T23:26:52+00:00",10 "source_sha256": "3936845c62aeb2be7028d99acb0177a93f57d07b10b54d5120017229fe2b56b5",11 "parser": "pymupdf-jof-heuristics-1.3",12 "payload_chars": 20457,13 "usage": {14 "input": 6672,15 "output": 2187,16 "cache_read": 3968,17 "cache_write": 018 },19 "cost_usd": 0.071222,20 "request_id": "req_011CggrqJqancvwEzDPnSa8D",21 "annotation": {22 "genre": "empirical",23 "subfield": "household_finance",24 "subfield_secondary": "behavioral_finance",25 "primary_method": "reduced_form_regression",26 "identification": {27 "estimand": "Effect of average local coworker ESPP participation/early selling on an employee's own participation/selling decision (endogenous peer effect)",28 "strategy": "Linear probability regressions comparing employees within the same firm and election window, with metro area (CBSA) fixed effects; peer means are measured in an excluded random half-sample; IV built from local office demographic composition (Duflo-Saez/Case-Katz style); cross-sectional tests using informed vs. uninformed peers to identify the learning mechanism",29 "key_assumptions": [30 "Office-level shocks within a firm are captured by location and demographic controls",31 "Exclusion restriction: the local distribution of employee characteristics affects own ESPP choices only through peer choices, conditional on own traits",32 "Informativeness proxies (occupation, self-reported experience, income) separate initially informed from uninformed workers"33 ],34 "threats_addressed": [35 "Correlated office-level shocks not captured by controls",36 "Endogenous sorting of workers into offices",37 "Reflection problem / mechanical correlation, handled with an excluded half-sample",38 "Uninformed mimicry versus learning",39 "Office size and headquarters-state effects"40 ],41 "causal_language_strength": 3,42 "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": 156 },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": 368 }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": 1,82 "move": "preview_of_approach"83 },84 {85 "paragraph_index": 1,86 "move": "preview_of_results"87 },88 {89 "paragraph_index": 1,90 "move": "mechanism_or_theory_sketch"91 },92 {93 "paragraph_index": 2,94 "move": "identification_defense"95 },96 {97 "paragraph_index": 2,98 "move": "robustness_mention"99 },100 {101 "paragraph_index": 3,102 "move": "mechanism_or_theory_sketch"103 },104 {105 "paragraph_index": 3,106 "move": "preview_of_results"107 },108 {109 "paragraph_index": 4,110 "move": "contribution_statement"111 },112 {113 "paragraph_index": 4,114 "move": "related_literature_positioning"115 },116 {117 "paragraph_index": 5,118 "move": "related_literature_positioning"119 },120 {121 "paragraph_index": 6,122 "move": "related_literature_positioning"123 },124 {125 "paragraph_index": 6,126 "move": "contribution_statement"127 }128 ],129 "contribution_paragraph_index": 4,130 "contribution_types": [131 "new_evidence",132 "new_data_or_measure"133 ],134 "roadmap_present": false,135 "literature_positioning_location": "inside_introduction"136 },137 "section_roles": [138 {139 "idx": 0,140 "role": "introduction"141 },142 {143 "idx": 1,144 "role": "data"145 },146 {147 "idx": 2,148 "role": "results"149 },150 {151 "idx": 3,152 "role": "conclusion"153 }154 ],155 "results_presentation": {156 "economic_significance_discussed": true,157 "statistical_significance_language": "unclear",158 "magnitude_statements_in_intro": true159 },160 "robustness": {161 "location": "within_results",162 "types": [163 "subsample",164 "alternative_specification",165 "other"166 ]167 },168 "tables": {169 "convention_notes": "Table notes define the sample (a named 'Analysis Sample' of random half-observations), the dependent indicator variables, and constructed peer means from an excluded half-sample. Controls are referenced back to earlier tables. Summary and descriptive tables come before the baseline/IV and cross-sectional tables.",170 "units_stated_in_notes": true,171 "standard_errors_description": "unclear"172 },173 "figures": {174 "uncertainty_shown": "no_figures"175 },176 "conclusion": {177 "bounded_claims": true,178 "policy_implications": false,179 "open_questions": false,180 "restates_contribution": true181 },182 "hedging": {183 "level": "moderate",184 "typical_devices": [185 "'consistent with' framing of mechanisms",186 "'suggests the potential' in implications",187 "explicit acknowledgment that the exclusion restriction cannot be tested",188 "'associated with' for magnitudes"189 ]190 },191 "claim_evidence": [192 {193 "claim": "Employees underparticipate in ESPPs despite sizable forgone gains",194 "evidence_type": "table",195 "evidence_ref": "Table I; Table II"196 },197 {198 "claim": "Local coworker participation raises own participation; 10pp peer rise linked to about 1.5pp own rise",199 "evidence_type": "table",200 "evidence_ref": "Table IV"201 },202 {203 "claim": "Peer effect results hold using demographic-based instruments",204 "evidence_type": "table",205 "evidence_ref": "Table IV (IV columns)"206 },207 {208 "claim": "Peer effects are weaker for uninformed workers when no informed colleague is present, supporting learning",209 "evidence_type": "table",210 "evidence_ref": "Table VIII; Table IX; Table X"211 },212 {213 "claim": "Coworkers' early-sale behavior predicts own early-sale decisions",214 "evidence_type": "table",215 "evidence_ref": "Table XI; Table XII"216 },217 {218 "claim": "Peer effects vary with worker demographics, ESPP gains and population density",219 "evidence_type": "table",220 "evidence_ref": "Table V; Table VI"221 }222 ],223 "structural_summary": "Opens with a motivation about retail investor mistakes and workplace plans as a learning channel. Previews novel ESPP data, low participation, the baseline peer effect magnitude, the information mechanism and selling-timing results. Defends identification with fixed effects, demographic IVs and sorting checks, then outlines informed/uninformed proxy tests of learning. Positions against finance, retirement-plan and labor peer-effect literatures. Main body: data/institutional section, then one large results section (baseline, heterogeneity, mechanism, selling). The conclusion restates findings.",224 "writing_profile_keywords": [225 "peer effects",226 "workplace networks",227 "ESPP",228 "information diffusion",229 "fixed effects",230 "instrumental variables",231 "mechanism tests",232 "household finance"233 ],234 "confidence": 0.8,235 "notes": "Section 1 is labeled literature by the rule but is actually data/institutional background. No roadmap is visible. The excerpts do not show how standard errors are computed. The final abstract sentence hedges a policy implication (investor education), but the conclusion excerpt is truncated before any policy discussion."236 },237 "deterministic_checks": {238 "roadmap_regex": false,239 "contribution_regex_in_intro": true,240 "magnitude_in_abstract": false,241 "abstract_n_sentences": 6,242 "intro_n_paragraphs": 7,243 "intro_n_words": 1269,244 "causal_words_in_abstract": 0,245 "hedge_words_in_abstract": 0,246 "stars_mentioned": false,247 "clustered_se_mentioned": false,248 "internet_appendix_mentioned": false,249 "section_roles_rule": {250 "0": "introduction",251 "1": "literature",252 "2": "other",253 "3": "conclusion"254 }255 },256 "schema_valid": true,257 "code_version": "87c73cd-dirty"258}