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1{2 "validation_errors": [],3 "repairs": [4  "dropped figures.figures"5 ],6 "doc_id": "jof_12583",7 "ontology_version": "1.0",8 "prompt_version": "1.0",9 "model": "claude-opus-5-5",10 "effort": "medium",11 "annotated_at": "2026-11-03T23:26:10+00:00",12 "source_sha256": "074e6a8620dc1531236a29942c3e072a275fc5bc1f428dc8faaa2dfb0d20b1c0",13 "parser": "pymupdf-jof-heuristics-1.3",14 "payload_chars": 23050,15 "usage": {16  "input": 7726,17  "output": 2176,18  "cache_read": 3968,19  "cache_write": 020 },21 "cost_usd": 0.075218,22 "request_id": "req_011CggppYqhVccuPdcDQBtVp",23 "annotation": {24  "genre": "mixed_theory_empirical",25  "subfield": "corporate_finance",26  "subfield_secondary": "dynamic contracting / executive compensation and CEO turnover",27  "primary_method": "theoretical_model_analytical",28  "identification": {29   "estimand": "Associations between a firm's growth prospects (initial Q, ratio of Q) and the probability of CEO turnover and the front-loading of CEO pay",30   "strategy": "Probit regressions of turnover and panel regressions of log pay on tenure-year interacted with initial Q, run on ExecuComp/Compustat/CRSP 1992-2014, used to test model predictions; no quasi-experimental design visible",31   "key_assumptions": [32    "Average Q measures growth prospects",33    "The model's comparative statics map onto cross-firm variation in observed Q"34   ],35   "threats_addressed": [36    "Acknowledges other theories may explain the same patterns"37   ],38   "causal_language_strength": 2,39   "uses_causal_claim": false40  },41  "abstract_moves": {42   "question": {43    "present": true,44    "sentence_index": 045   },46   "gap": {47    "present": false,48    "sentence_index": -149   },50   "method": {51    "present": true,52    "sentence_index": 053   },54   "results": {55    "present": true,56    "sentence_index": 257   },58   "magnitude": {59    "present": false,60    "sentence_index": -161   },62   "contribution": {63    "present": true,64    "sentence_index": 165   }66  },67  "introduction": {68   "moves": [69    {70     "paragraph_index": 0,71     "move": "motivation"72    },73    {74     "paragraph_index": 0,75     "move": "tension_or_puzzle"76    },77    {78     "paragraph_index": 1,79     "move": "preview_of_approach"80    },81    {82     "paragraph_index": 1,83     "move": "contribution_statement"84    },85    {86     "paragraph_index": 1,87     "move": "preview_of_results"88    },89    {90     "paragraph_index": 2,91     "move": "preview_of_results"92    },93    {94     "paragraph_index": 2,95     "move": "mechanism_or_theory_sketch"96    },97    {98     "paragraph_index": 3,99     "move": "mechanism_or_theory_sketch"100    },101    {102     "paragraph_index": 4,103     "move": "preview_of_results"104    },105    {106     "paragraph_index": 4,107     "move": "preview_of_approach"108    },109    {110     "paragraph_index": 5,111     "move": "related_literature_positioning"112    },113    {114     "paragraph_index": 6,115     "move": "related_literature_positioning"116    },117    {118     "paragraph_index": 6,119     "move": "contribution_statement"120    },121    {122     "paragraph_index": 7,123     "move": "roadmap"124    }125   ],126   "contribution_paragraph_index": 6,127   "contribution_types": [128    "new_theory_or_model",129    "new_method",130    "new_evidence"131   ],132   "roadmap_present": true,133   "literature_positioning_location": "inside_introduction"134  },135  "section_roles": [136   {137    "idx": 0,138    "role": "introduction"139   },140   {141    "idx": 1,142    "role": "theory"143   },144   {145    "idx": 2,146    "role": "theory"147   },148   {149    "idx": 3,150    "role": "theory"151   },152   {153    "idx": 4,154    "role": "results"155   },156   {157    "idx": 5,158    "role": "conclusion"159   }160  ],161  "results_presentation": {162   "economic_significance_discussed": false,163   "statistical_significance_language": "unclear",164   "magnitude_statements_in_intro": false165  },166  "robustness": {167   "location": "none_seen",168   "types": []169  },170  "tables": {171   "convention_notes": "Table notes name the merged data set and sample period, define each variable, and identify the estimator (probit marginal effects, compensation regressions). The visible excerpts do not describe standard errors.",172   "units_stated_in_notes": true,173   "standard_errors_description": "unclear"174  },175  "figures": {176   "uncertainty_shown": "no"177  },178  "conclusion": {179   "bounded_claims": true,180   "policy_implications": false,181   "open_questions": true,182   "restates_contribution": true183  },184  "hedging": {185   "level": "moderate",186   "typical_devices": [187    "'broadly supports' / 'consistent with' for empirical findings",188    "'may' for model outcomes",189    "explicit acknowledgment that other theories may fit the evidence",190    "'we believe' for extensions"191   ]192  },193  "claim_evidence": [194   {195    "claim": "The risk of growth-induced dismissal raises managers' effective discount rate and therefore agency costs, which leads to front-loaded pay.",196    "evidence_type": "equation_or_proof",197    "evidence_ref": "Sections I-III"198   },199   {200    "claim": "Low-growth firms optimally forgo growth opportunities after good performance, which amounts to job protection.",201    "evidence_type": "equation_or_proof",202    "evidence_ref": "Section III.D, Figure 2"203   },204   {205    "claim": "Severance pay is suboptimal, but incoming managers may receive a signing bonus.",206    "evidence_type": "equation_or_proof",207    "evidence_ref": "Sections II-III"208   },209   {210    "claim": "Firms with better growth prospects have higher CEO turnover.",211    "evidence_type": "table",212    "evidence_ref": "Tables II-III, Figure 5"213   },214   {215    "claim": "Firms with better growth prospects use more front-loaded CEO compensation.",216    "evidence_type": "table",217    "evidence_ref": "Table IV, Figure 6"218   },219   {220    "claim": "High-growth firms have shorter tenures and shorter compensation duration in model simulations.",221    "evidence_type": "figure",222    "evidence_ref": "Figures 3-4"223   },224   {225    "claim": "Managers matter for firm performance, especially in growing environments.",226    "evidence_type": "prior_literature",227    "evidence_ref": "Bertrand and Schoar (2003); Bennedsen et al. (2012)"228   }229  ],230  "structural_summary": "The paper is theory-led and adds a short empirical test. The introduction motivates a tension between replacing managers to seize growth and the cost of incentive provision. It then previews the mechanism and the main contract results (two firm types, drift adjustment, no severance pay), positions the work against the CEO-match and dynamic-contracting literatures, lists technical contributions, and closes with a roadmap. The body builds a two-period model with derived empirical implications, then a continuous-time model with a state-space representation of contracts. Next it characterizes the optimal contract with numerical illustrations, and finally reports probit and compensation regressions on ExecuComp data. The conclusion restates the insight, suggests extensions, and hedges on the empirical channel.",231  "writing_profile_keywords": [232   "dynamic moral hazard",233   "continuous-time contracting",234   "CEO turnover",235   "front-loaded compensation",236   "model-then-evidence",237   "consistent-with empirics"238  ],239  "confidence": 0.85,240  "notes": "The primary contribution is theoretical. The empirical section is supportive and its claims are associational. Standard errors and robustness checks are not visible in the excerpts, and an Internet Appendix is mentioned."241 },242 "deterministic_checks": {243  "roadmap_regex": true,244  "contribution_regex_in_intro": true,245  "magnitude_in_abstract": false,246  "abstract_n_sentences": 5,247  "intro_n_paragraphs": 8,248  "intro_n_words": 1506,249  "causal_words_in_abstract": 0,250  "hedge_words_in_abstract": 1,251  "stars_mentioned": false,252  "clustered_se_mentioned": false,253  "internet_appendix_mentioned": false,254  "section_roles_rule": {255   "0": "introduction",256   "1": "theory",257   "2": "theory",258   "3": "other",259   "4": "results",260   "5": "conclusion"261  }262 },263 "schema_valid": true,264 "code_version": "87c73cd-dirty"265}
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