1{2 "validation_errors": [],3 "doc_id": "jof_12593",4 "ontology_version": "1.0",5 "prompt_version": "1.0",6 "model": "claude-opus-5-5",7 "effort": "medium",8 "annotated_at": "2026-11-03T23:00:43+00:00",9 "source_sha256": "6699453baee138656ce22a3388335361b8bf78510ae7dbefd0044cab3b382a01",10 "parser": "pymupdf-jof-heuristics-1.3",11 "payload_chars": 29718,12 "usage": {13 "input": 9828,14 "output": 2396,15 "cache_read": 3968,16 "cache_write": 017 },18 "cost_usd": 0.088026,19 "request_id": "req_011CggpqXTsTjn69nRgraWhz",20 "annotation": {21 "genre": "empirical",22 "subfield": "household_finance",23 "subfield_secondary": "behavioral_finance",24 "primary_method": "survey_or_experiment",25 "identification": {26 "estimand": "Intent-to-treat effects of randomized SMS message content (overdraft discount, availability, bundled discounts, frequency, duration) on overdraft, debit, and autopay usage during and after the campaign",27 "strategy": "Randomized field experiment with a Turkish bank over 108,000 checking accounts; OLS of usage on treatment-arm indicators, comparing messages that mention price with those that do not (no pure control group)",28 "key_assumptions": [29 "Random assignment of message arms is balanced across baseline characteristics",30 "No other bank communications to the sample during the campaign",31 "Comparisons across promotion arms identify the effect of mentioning price, since a pure control group was not used"32 ],33 "threats_addressed": [34 "Baseline imbalance (orthogonality checks)",35 "Mediation by an earlier common message",36 "Classical/mechanical explanations such as bundled transactions raising balance variance",37 "Persistence vs. transitory effects (post-experiment window)"38 ],39 "causal_language_strength": 4,40 "uses_causal_claim": true41 },42 "abstract_moves": {43 "question": {44 "present": true,45 "sentence_index": 046 },47 "gap": {48 "present": false,49 "sentence_index": -150 },51 "method": {52 "present": true,53 "sentence_index": 154 },55 "results": {56 "present": true,57 "sentence_index": 158 },59 "magnitude": {60 "present": false,61 "sentence_index": -162 },63 "contribution": {64 "present": true,65 "sentence_index": 566 }67 },68 "introduction": {69 "moves": [70 {71 "paragraph_index": 0,72 "move": "motivation"73 },74 {75 "paragraph_index": 1,76 "move": "motivation"77 },78 {79 "paragraph_index": 2,80 "move": "tension_or_puzzle"81 },82 {83 "paragraph_index": 2,84 "move": "mechanism_or_theory_sketch"85 },86 {87 "paragraph_index": 3,88 "move": "policy_or_broader_implication"89 },90 {91 "paragraph_index": 4,92 "move": "literature_gap"93 },94 {95 "paragraph_index": 5,96 "move": "motivation"97 },98 {99 "paragraph_index": 6,100 "move": "preview_of_approach"101 },102 {103 "paragraph_index": 7,104 "move": "preview_of_approach"105 },106 {107 "paragraph_index": 8,108 "move": "identification_defense"109 },110 {111 "paragraph_index": 9,112 "move": "mechanism_or_theory_sketch"113 },114 {115 "paragraph_index": 10,116 "move": "identification_defense"117 },118 {119 "paragraph_index": 10,120 "move": "preview_of_results"121 },122 {123 "paragraph_index": 11,124 "move": "preview_of_results"125 },126 {127 "paragraph_index": 12,128 "move": "preview_of_results"129 },130 {131 "paragraph_index": 13,132 "move": "preview_of_results"133 },134 {135 "paragraph_index": 14,136 "move": "contribution_statement"137 },138 {139 "paragraph_index": 15,140 "move": "related_literature_positioning"141 },142 {143 "paragraph_index": 16,144 "move": "related_literature_positioning"145 },146 {147 "paragraph_index": 17,148 "move": "roadmap"149 }150 ],151 "contribution_paragraph_index": 14,152 "contribution_types": [153 "new_evidence"154 ],155 "roadmap_present": true,156 "literature_positioning_location": "inside_introduction"157 },158 "section_roles": [159 {160 "idx": 0,161 "role": "introduction"162 },163 {164 "idx": 1,165 "role": "other"166 },167 {168 "idx": 2,169 "role": "data"170 },171 {172 "idx": 3,173 "role": "results"174 },175 {176 "idx": 4,177 "role": "other"178 },179 {180 "idx": 5,181 "role": "conclusion"182 },183 {184 "idx": 6,185 "role": "appendix"186 }187 ],188 "results_presentation": {189 "economic_significance_discussed": true,190 "statistical_significance_language": "mixed",191 "magnitude_statements_in_intro": true192 },193 "robustness": {194 "location": "mixed",195 "types": [196 "subsample",197 "alternative_specification",198 "alternative_sample_period",199 "other"200 ]201 },202 "tables": {203 "convention_notes": "Each column is one OLS regression of a usage measure on treatment-arm indicators, with Huber–White SEs in parentheses. Notes explain that some rows give additive effects of discount arms relative to reference arms. Table I is a balance table reporting proportions with SEs and joint-test p-values; stars are used. Appendix tables cover balances, products, mediation, frequency, and duration.",204 "units_stated_in_notes": false,205 "standard_errors_description": "robust"206 },207 "figures": {208 "uncertainty_shown": "mixed"209 },210 "conclusion": {211 "bounded_claims": true,212 "policy_implications": true,213 "open_questions": true,214 "restates_contribution": true215 },216 "hedging": {217 "level": "moderate",218 "typical_devices": [219 "'consistent with' framing",220 "'some evidence'",221 "'suggests'",222 "explicit statement that no welfare analysis is done",223 "acknowledging confidence intervals do not rule out heterogeneity"224 ]225 },226 "claim_evidence": [227 {228 "claim": "Overdraft discount messages lower overdraft likelihood by about 1.2 pp versus availability-only messages, on a 31% baseline",229 "evidence_type": "table",230 "evidence_ref": "Table II"231 },232 {233 "claim": "Bundling the overdraft discount with debit or autopay discounts reduces overdrafting more than the discount alone",234 "evidence_type": "table",235 "evidence_ref": "Table II"236 },237 {238 "claim": "Debit card and autopay discounts weakly increase use of those services",239 "evidence_type": "table",240 "evidence_ref": "Table III"241 },242 {243 "claim": "Overdraft availability messages raise overdraft likelihood by about 0.9 pp",244 "evidence_type": "table",245 "evidence_ref": "Table II"246 },247 {248 "claim": "Treatment effects do not persist after messaging ends",249 "evidence_type": "table",250 "evidence_ref": "Table IV; Figure 3"251 },252 {253 "claim": "No heterogeneity by prior overdraft experience",254 "evidence_type": "table",255 "evidence_ref": "Table V"256 },257 {258 "claim": "Randomization produced balanced arms",259 "evidence_type": "table",260 "evidence_ref": "Table I"261 }262 ],263 "structural_summary": "Opens with a rhetorical question, then motivates add-on/shrouding business models using retail overdrafts. It poses the theoretical puzzle of why firms shroud prices and states the empirical gap. A bank field experiment follows, with one-sided hypothesis tests framed as stacking the deck against the behavioral prediction. Point estimates with SEs are previewed in the introduction, followed by literature positioning and a roadmap. The body covers the institutional setting (including ethics), experimental design with balance checks, and results with heterogeneity and frequency/duration variations. A discussion section weighs classical alternatives, and the conclusion gives cautious policy implications, a welfare caveat, and future design refinements.",264 "writing_profile_keywords": [265 "field experiment",266 "shrouded add-on pricing",267 "limited attention",268 "behavioral vs classical tests",269 "one-sided hypothesis",270 "SE reported in text",271 "policy caveats"272 ],273 "confidence": 0.85,274 "notes": "The intro says Section V discusses alternatives, but the heading list puts that discussion in Section IV. The rule-based tag 'theory' for Section I is wrong; it describes the institutional setting and ethics, so it is labeled 'other'. The Discussion section is labeled 'other' rather than conclusion."275 },276 "deterministic_checks": {277 "roadmap_regex": true,278 "contribution_regex_in_intro": false,279 "magnitude_in_abstract": true,280 "abstract_n_sentences": 9,281 "intro_n_paragraphs": 18,282 "intro_n_words": 1855,283 "causal_words_in_abstract": 0,284 "hedge_words_in_abstract": 0,285 "stars_mentioned": true,286 "clustered_se_mentioned": false,287 "internet_appendix_mentioned": false,288 "section_roles_rule": {289 "0": "introduction",290 "1": "theory",291 "2": "data",292 "3": "results",293 "4": "conclusion",294 "5": "conclusion",295 "6": "appendix"296 }297 },298 "schema_valid": true,299 "code_version": "feb6c9e-dirty"300}