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1{2 "validation_errors": [],3 "repairs": [4  "hoisted hedging.claim_evidence -> claim_evidence",5  "hoisted hedging.structural_summary -> structural_summary",6  "hoisted hedging.writing_profile_keywords -> writing_profile_keywords",7  "hoisted hedging.confidence -> confidence",8  "hoisted hedging.notes -> notes"9 ],10 "doc_id": "jof_12897",11 "ontology_version": "1.0",12 "prompt_version": "1.0",13 "model": "claude-opus-5-5",14 "effort": "medium",15 "annotated_at": "2026-11-03T23:26:52+00:00",16 "source_sha256": "12171b5562a7b9a62edd0bf0ae1c033215ca101727924f0c8e3df538854194d8",17 "parser": "pymupdf-jof-heuristics-1.3",18 "payload_chars": 21897,19 "usage": {20  "input": 7426,21  "output": 2295,22  "cache_read": 3968,23  "cache_write": 024 },25 "cost_usd": 0.076398,26 "request_id": "req_011CggqrHqDv5zh1vDTiNiU2",27 "annotation": {28  "genre": "empirical",29  "subfield": "corporate_finance",30  "subfield_secondary": "corporate governance / managerial economics",31  "primary_method": "reduced_form_regression",32  "identification": {33   "estimand": "Effect of a reduction in firms' exposure to their CEO (days of CEO hospitalization) on firm performance (OROA, investment, other outcomes), holding the firm-CEO match fixed",34   "strategy": "Panel regressions of performance on CEO hospitalization days with firm-CEO fixed effects. Supplemented by matched event/nonevent firm comparisons, an IV using the national share of lengthy stays per diagnosis, non-stress-related and deadliest-disease subsamples, and placebos using hospitalizations of other executives.",35   "key_assumptions": [36    "Hospitalizations reduce CEO productive capacity",37    "Hospitalization length is not driven by firm performance (reverse causality), conditional on instrument",38    "Timing and incidence of hospitalization are not caused by poor performance",39    "Medical costs do not directly affect firm performance (public financing of hospitals)"40   ],41   "threats_addressed": [42    "reverse causality from performance to length of stay",43    "stress-related illness triggered by poor performance",44    "strategic timing of treatment",45    "firm-CEO matching endogeneity / demand-side fixed effects",46    "effects driven by CEO turnover firms"47   ],48   "causal_language_strength": 4,49   "uses_causal_claim": true50  },51  "abstract_moves": {52   "question": {53    "present": true,54    "sentence_index": 055   },56   "gap": {57    "present": false,58    "sentence_index": -159   },60   "method": {61    "present": true,62    "sentence_index": 063   },64   "results": {65    "present": true,66    "sentence_index": 267   },68   "magnitude": {69    "present": false,70    "sentence_index": -171   },72   "contribution": {73    "present": true,74    "sentence_index": 575   }76  },77  "introduction": {78   "moves": [79    {80     "paragraph_index": 0,81     "move": "preview_of_approach"82    },83    {84     "paragraph_index": 1,85     "move": "preview_of_approach"86    },87    {88     "paragraph_index": 1,89     "move": "preview_of_results"90    },91    {92     "paragraph_index": 2,93     "move": "preview_of_results"94    },95    {96     "paragraph_index": 3,97     "move": "robustness_mention"98    },99    {100     "paragraph_index": 4,101     "move": "related_literature_positioning"102    },103    {104     "paragraph_index": 5,105     "move": "identification_defense"106    },107    {108     "paragraph_index": 6,109     "move": "identification_defense"110    },111    {112     "paragraph_index": 7,113     "move": "contribution_statement"114    },115    {116     "paragraph_index": 8,117     "move": "contribution_statement"118    },119    {120     "paragraph_index": 9,121     "move": "other"122    },123    {124     "paragraph_index": 10,125     "move": "roadmap"126    }127   ],128   "contribution_paragraph_index": 7,129   "contribution_types": [130    "new_evidence",131    "new_data_or_measure",132    "new_identification"133   ],134   "roadmap_present": true,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": "results"153   },154   {155    "idx": 4,156    "role": "results"157   },158   {159    "idx": 5,160    "role": "results"161   },162   {163    "idx": 6,164    "role": "conclusion"165   }166  ],167  "results_presentation": {168   "economic_significance_discussed": true,169   "statistical_significance_language": "unclear",170   "magnitude_statements_in_intro": true171  },172  "robustness": {173   "location": "within_results",174   "types": [175    "alternative_specification",176    "subsample",177    "placebo",178    "falsification",179    "alternative_measure"180   ]181  },182  "tables": {183   "convention_notes": "Table notes define the dependent variables (OROA, net income to assets, distress, log sales) and the hospitalization-day regressors, and state sample filters (nonfinancial, nonutility, non-government-owned Danish limited liability firms, 1996-2012). Panels separate means, mean differences and medians, and address distinct identification challenges. Standard-error treatment is not visible in the note excerpts.",184   "units_stated_in_notes": true,185   "standard_errors_description": "unclear"186  },187  "figures": {188   "uncertainty_shown": "mixed"189  },190  "conclusion": {191   "bounded_claims": false,192   "policy_implications": false,193   "open_questions": false,194   "restates_contribution": true195  },196  "hedging": {197   "level": "moderate",198   "typical_devices": [199    "'we posit' premise framing",200    "'consistent with' wording",201    "explicit external-validity caveat for public firms",202    "alternative interpretation acknowledged for turnover result",203    "'to our knowledge' priority claim"204   ]205  },206  "claim_evidence": [207   {208    "claim": "A 10-day CEO hospital stay lowers operating profitability by about 5.8% of its mean",209    "evidence_type": "table",210    "evidence_ref": "Table IV"211   },212   {213    "claim": "Results survive IV, non-stress-related diagnoses, and deadliest-disease subsamples",214    "evidence_type": "table",215    "evidence_ref": "Table V"216   },217   {218    "claim": "Hospitalizations of non-CEO senior executives do not produce similar performance effects",219    "evidence_type": "table",220    "evidence_ref": "Table IX"221   },222   {223    "claim": "CEO effects are larger for younger CEOs, growing and family firms, and human-capital-intensive industries",224    "evidence_type": "table",225    "evidence_ref": "Table X"226   },227   {228    "claim": "CEO hospitalization raises the probability of CEO turnover",229    "evidence_type": "table",230    "evidence_ref": "Table XI"231   },232   {233    "claim": "Performance effects hold in firms without CEO turnover",234    "evidence_type": "table",235    "evidence_ref": "Table XII"236   },237   {238    "claim": "Event firms underperform matched firms around hospitalization",239    "evidence_type": "figure",240    "evidence_ref": "Figures 1-2"241   }242  ],243  "structural_summary": "The paper opens directly with its identification idea: variation in CEO exposure from hospitalization, holding the firm-CEO match fixed. It then justifies Denmark as the setting and previews the headline magnitude and the turnover finding. The introduction goes on to defend identification against reverse causality and coincident timing, followed by enumerated contributions, an external-validity caveat and a roadmap. The body moves from data, to baseline univariate, matched and multivariate results with causality and magnitude subsections, to a uniqueness test using other executives, heterogeneity splits and turnover. A short conclusion restates the contribution.",244  "writing_profile_keywords": [245   "administrative registry data",246   "firm-CEO fixed effects",247   "shock-based identification",248   "instrumental variable robustness",249   "placebo on other executives",250   "enumerated contributions",251   "Denmark private firms"252  ],253  "confidence": 0.8,254  "notes": "Heterogeneity section labeled robustness by rule but is substantively a results section. Figure 2 shows 95% CIs; Figure 1 apparently does not. The intro's contribution list is truncated (first, second, then fifth visible). The abstract's 'CEO contingency plans are valuable' is a mild implication, but the conclusion excerpt is truncated."255 },256 "deterministic_checks": {257  "roadmap_regex": true,258  "contribution_regex_in_intro": true,259  "magnitude_in_abstract": false,260  "abstract_n_sentences": 6,261  "intro_n_paragraphs": 11,262  "intro_n_words": 1183,263  "causal_words_in_abstract": 1,264  "hedge_words_in_abstract": 0,265  "stars_mentioned": false,266  "clustered_se_mentioned": false,267  "internet_appendix_mentioned": false,268  "section_roles_rule": {269   "0": "introduction",270   "1": "data",271   "2": "other",272   "3": "other",273   "4": "robustness",274   "5": "other",275   "6": "conclusion"276  }277 },278 "schema_valid": true,279 "code_version": "87c73cd-dirty"280}
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