1{2 "validation_errors": [],3 "doc_id": "jof_12851",4 "ontology_version": "1.0",5 "prompt_version": "1.0",6 "model": "claude-opus-5-5",7 "effort": "medium",8 "annotated_at": "2026-11-03T23:10:56+00:00",9 "source_sha256": "0f7cb3858385a897399bf6243c50eb8e83108709444dd5659de197ebee285db2",10 "parser": "pymupdf-jof-heuristics-1.3",11 "payload_chars": 19521,12 "usage": {13 "input": 6546,14 "output": 2195,15 "cache_read": 3968,16 "cache_write": 017 },18 "cost_usd": 0.070878,19 "request_id": "req_011CggqcusGDKrgnTTLAnHxk",20 "annotation": {21 "genre": "empirical",22 "subfield": "behavioral_finance",23 "subfield_secondary": "household_finance",24 "primary_method": "difference_in_differences",25 "identification": {26 "estimand": "Change in the disposition effect (gain-minus-loss selling propensity) for internet investors relative to noninternet investors after a brokerage display change that made purchase price/capital gain more salient",27 "strategy": "Difference-in-differences around the October 1, 2004 change in the online trading screen. Internet investors are treated and phone/in-branch investors are controls. Supplemented with fixed effects, propensity score matching, hazard models, data from additional branches, and quarterly placebo tests.",28 "key_assumptions": [29 "Parallel trends in the disposition effect between internet and noninternet investors absent the display change",30 "Display change altered salience but not the investor's information set",31 "Treatment and control assignment based on preperiod order channel is not confounded with other contemporaneous shocks"32 ],33 "threats_addressed": [34 "Correlation of information display with other information (information set unchanged)",35 "Differences in investor characteristics between groups (propensity score matching)",36 "Spurious time variation (multiple placebo tests on adjacent quarters)",37 "Weighting by large portfolios (individual-level estimates)",38 "Reference point definition (break-even price)",39 "Sampling method (Odean 1998 criterion)"40 ],41 "causal_language_strength": 5,42 "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": 260 },61 "magnitude": {62 "present": true,63 "sentence_index": 264 },65 "contribution": {66 "present": false,67 "sentence_index": -168 }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": "literature_gap"83 },84 {85 "paragraph_index": 1,86 "move": "preview_of_approach"87 },88 {89 "paragraph_index": 1,90 "move": "identification_defense"91 },92 {93 "paragraph_index": 2,94 "move": "related_literature_positioning"95 },96 {97 "paragraph_index": 2,98 "move": "contribution_statement"99 },100 {101 "paragraph_index": 3,102 "move": "related_literature_positioning"103 },104 {105 "paragraph_index": 3,106 "move": "contribution_statement"107 },108 {109 "paragraph_index": 4,110 "move": "roadmap"111 }112 ],113 "contribution_paragraph_index": 3,114 "contribution_types": [115 "new_evidence",116 "new_identification"117 ],118 "roadmap_present": true,119 "literature_positioning_location": "inside_introduction"120 },121 "section_roles": [122 {123 "idx": 0,124 "role": "introduction"125 },126 {127 "idx": 1,128 "role": "data"129 },130 {131 "idx": 2,132 "role": "results"133 },134 {135 "idx": 3,136 "role": "results"137 },138 {139 "idx": 4,140 "role": "other"141 },142 {143 "idx": 5,144 "role": "robustness"145 },146 {147 "idx": 6,148 "role": "conclusion"149 }150 ],151 "results_presentation": {152 "economic_significance_discussed": true,153 "statistical_significance_language": "unclear",154 "magnitude_statements_in_intro": false155 },156 "robustness": {157 "location": "mixed",158 "types": [159 "alternative_specification",160 "placebo",161 "alternative_measure",162 "alternative_sample_period",163 "subsample",164 "other"165 ]166 },167 "tables": {168 "convention_notes": "Table notes define the dependent variable (sale dummy) and the Gain/Post/Internet indicators, and give the estimation method (OLS, Cox hazard). Coefficients are multiplied by 100, and some notes state two-way clustering. Later tables refer back to earlier table captions for variable definitions.",169 "units_stated_in_notes": true,170 "standard_errors_description": "clustered"171 },172 "figures": {173 "uncertainty_shown": "unclear"174 },175 "conclusion": {176 "bounded_claims": false,177 "policy_implications": false,178 "open_questions": false,179 "restates_contribution": true180 },181 "hedging": {182 "level": "low",183 "typical_devices": [184 "'evidence consistent with' for links to attention models",185 "explicit admission that the mechanism cannot be identified",186 "'likely to be more applicable today' for external validity"187 ]188 },189 "claim_evidence": [190 {191 "claim": "The salience shock causally raised the disposition effect by about 17%",192 "evidence_type": "table",193 "evidence_ref": "Table II, Table III"194 },195 {196 "claim": "Result holds in a propensity-score-matched sample",197 "evidence_type": "table",198 "evidence_ref": "Table IV, Figure 5"199 },200 {201 "claim": "Result holds in hazard model specifications",202 "evidence_type": "table",203 "evidence_ref": "Table V"204 },205 {206 "claim": "No comparable effects arise at placebo quarter breaks",207 "evidence_type": "figure",208 "evidence_ref": "Figure 3"209 },210 {211 "claim": "Treatment effect varies substantially across individual investors",212 "evidence_type": "figure",213 "evidence_ref": "Figure 6, Table VI"214 },215 {216 "claim": "Individual rank effect explains heterogeneity in the response to the salience shock",217 "evidence_type": "table",218 "evidence_ref": "Table VI, Table VII"219 },220 {221 "claim": "Main result robust to extended postperiod, break-even reference price, and Odean sampling",222 "evidence_type": "table",223 "evidence_ref": "Tables VIII-X"224 },225 {226 "claim": "Lab studies show information display affects investor choices",227 "evidence_type": "prior_literature",228 "evidence_ref": "Gneezy and Potters 1997; Frydman and Rangel 2014"229 }230 ],231 "structural_summary": "The paper contrasts models in which display is irrelevant with lab evidence that it matters, then notes that field evidence is missing. It introduces a brokerage screen change as a natural experiment and frames the outcome through the disposition effect. A DiD headline estimate is followed by layered validation: fixed effects, other branches, matching, hazard models, and placebo tests. It then moves to individual-level heterogeneity linked to the rank effect, discusses candidate mechanisms while acknowledging they cannot be identified, and adds short robustness checks. The conclusion restates the causal magnitude and connects it to work on correlated biases and salience theories.",232 "writing_profile_keywords": [233 "natural experiment",234 "difference-in-differences",235 "disposition effect",236 "salience",237 "brokerage microdata",238 "heterogeneity",239 "field versus lab"240 ],241 "confidence": 0.85,242 "notes": "Introduction paragraph 1 is truncated where the three identification challenges are listed. The mechanisms section is labeled robustness by the rule but is a discussion section. The form of the significance reporting is not visible in the excerpts."243 },244 "deterministic_checks": {245 "roadmap_regex": true,246 "contribution_regex_in_intro": true,247 "magnitude_in_abstract": true,248 "abstract_n_sentences": 5,249 "intro_n_paragraphs": 5,250 "intro_n_words": 671,251 "causal_words_in_abstract": 1,252 "hedge_words_in_abstract": 0,253 "stars_mentioned": false,254 "clustered_se_mentioned": true,255 "internet_appendix_mentioned": false,256 "section_roles_rule": {257 "0": "introduction",258 "1": "data",259 "2": "other",260 "3": "other",261 "4": "robustness",262 "5": "robustness",263 "6": "conclusion"264 }265 },266 "schema_valid": true,267 "code_version": "87c73cd-dirty"268}