1{"text": "{\"genre\":\"empirical\",\"subfield\":\"financial_intermediation_banking\",\"subfield_secondary\":\"bank supervision and regulation\",\"primary_method\":\"reduced_form_regression\",\"identification\":{\"estimand\":\"Effect of greater supervisory attention (hours) on bank risk, profitability and growth\",\"strategy\":\"Top size-rank status within a Federal Reserve district as a source of plausibly exogenous variation in supervisory attention; nearest-neighbor matching of Top BHCs to similar non-top BHCs in other districts; district-quarter fixed effects; 2SLS with Top as an instrument for supervisory hours (2006-2014)\",\"key_assumptions\":[\"Being among the largest BHCs in a district is not related to unobserved factors that also affect bank performance\",\"Matched BHCs are otherwise similar to Top BHCs\",\"Top status raises supervisory hours conditional on size, complexity, risk and other controls\"],\"threats_addressed\":[\"Unobserved district-level differences in risk\",\"Differences in competitiveness and franchise value\",\"Size and complexity confounds\"],\"causal_language_strength\":3,\"uses_causal_claim\":true},\"abstract_moves\":{\"question\":{\"present\":true,\"sentence_index\":0},\"gap\":{\"present\":false,\"sentence_index\":-1},\"method\":{\"present\":true,\"sentence_index\":1},\"results\":{\"present\":true,\"sentence_index\":2},\"magnitude\":{\"present\":false,\"sentence_index\":-1},\"contribution\":{\"present\":true,\"sentence_index\":3}},\"introduction\":{\"moves\":[{\"paragraph_index\":0,\"move\":\"motivation\"},{\"paragraph_index\":0,\"move\":\"literature_gap\"},{\"paragraph_index\":0,\"move\":\"preview_of_approach\"},{\"paragraph_index\":0,\"move\":\"preview_of_results\"},{\"paragraph_index\":1,\"move\":\"literature_gap\"},{\"paragraph_index\":1,\"move\":\"preview_of_approach\"},{\"paragraph_index\":2,\"move\":\"preview_of_results\"},{\"paragraph_index\":2,\"move\":\"policy_or_broader_implication\"},{\"paragraph_index\":3,\"move\":\"identification_defense\"},{\"paragraph_index\":3,\"move\":\"robustness_mention\"},{\"paragraph_index\":4,\"move\":\"mechanism_or_theory_sketch\"},{\"paragraph_index\":5,\"move\":\"related_literature_positioning\"},{\"paragraph_index\":5,\"move\":\"contribution_statement\"},{\"paragraph_index\":6,\"move\":\"roadmap\"}],\"contribution_paragraph_index\":5,\"contribution_types\":[\"new_evidence\",\"new_data_or_measure\",\"new_identification\"],\"roadmap_present\":true,\"literature_positioning_location\":\"inside_introduction\"},\"section_roles\":[{\"idx\":0,\"role\":\"introduction\"},{\"idx\":1,\"role\":\"other\"},{\"idx\":2,\"role\":\"empirical_design\"},{\"idx\":3,\"role\":\"empirical_design\"},{\"idx\":4,\"role\":\"results\"},{\"idx\":5,\"role\":\"robustness\"},{\"idx\":6,\"role\":\"conclusion\"}],\"results_presentation\":{\"economic_significance_discussed\":true,\"statistical_significance_language\":\"unclear\",\"magnitude_statements_in_intro\":false},\"robustness\":{\"location\":\"mixed\",\"types\":[\"alternative_specification\",\"alternative_sample_period\",\"other\"]},\"tables\":{\"convention_notes\":\"Table notes define the sample (BHC-quarters, period), the treatment definition (top five in district-quarter or within 25% of the top five), matching criteria, and how variables are constructed (rolling eight-quarter forward standard deviations, one-year forward growth). Some notes refer readers to the Internet Appendix for variable details. Clustering by BHC is stated in the results text rather than in the visible note excerpts.\",\"units_stated_in_notes\":true,\"standard_errors_description\":\"clustered\"},\"figures\":{\"uncertainty_shown\":\"unclear\"},\"conclusion\":{\"bounded_claims\":true,\"policy_implications\":true,\"open_questions\":false,\"restates_contribution\":true},\"hedging\":{\"level\":\"moderate\",\"typical_devices\":[\"consistent with\",\"suggest\",\"plausibly exogenous\",\"explicit caveats on natural experiment assumptions\",\"acknowledging mechanisms not identified\",\"may\"]},\"claim_evidence\":[{\"claim\":\"Top size-ranked BHCs in a district get more supervisory hours, net of size, complexity and risk\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table II, Table III, Figure 1\"},{\"claim\":\"Top BHCs hold less risky loans and are less volatile than matched peers\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table V\"},{\"claim\":\"Top BHCs are less sensitive to industry downturns\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table VI\"},{\"claim\":\"No meaningful difference in profitability, growth or Sharpe ratio between Top BHCs and matches\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table V\"},{\"claim\":\"Results hold with district-quarter fixed effects\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table VII\"},{\"claim\":\"2SLS using Top as an instrument for supervisory hours confirms the effects for 2006-2014\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table X\"}],\"structural_summary\":\"The introduction motivates supervision as distinct from regulation, flags the gap that its effect is understudied, and previews the new hours data, the Top-rank identification strategy and the risk-down/performance-unchanged results. It then defends identification, sketches possible mechanisms, positions the paper in the literature, and closes with a roadmap. The body describes the institutional setting, shows that top rank predicts supervisory hours, builds a matched sample, and presents differences in means, downturn tests and district fixed-effects results. Further analyses and 2SLS follow, and the conclusion states caveats.\",\"writing_profile_keywords\":[\"bank supervision\",\"supervisory hours data\",\"matched sample\",\"district rank identification\",\"institutional detail\",\"risk vs performance tradeoff\",\"caveated causal claims\",\"2SLS\"],\"confidence\":0.82,\"notes\":\"Section I is institutional background. Statistical-significance reporting conventions are not visible in the excerpts. The introduction gives no numeric magnitudes, and the abstract contains none either.\"}", "json": {"genre": "empirical", "subfield": "financial_intermediation_banking", "subfield_secondary": "bank supervision and regulation", "primary_method": "reduced_form_regression", "identification": {"estimand": "Effect of greater supervisory attention (hours) on bank risk, profitability and growth", "strategy": "Top size-rank status within a Federal Reserve district as a source of plausibly exogenous variation in supervisory attention; nearest-neighbor matching of Top BHCs to similar non-top BHCs in other districts; district-quarter fixed effects; 2SLS with Top as an instrument for supervisory hours (2006-2014)", "key_assumptions": ["Being among the largest BHCs in a district is not related to unobserved factors that also affect bank performance", "Matched BHCs are otherwise similar to Top BHCs", "Top status raises supervisory hours conditional on size, complexity, risk and other controls"], "threats_addressed": ["Unobserved district-level differences in risk", "Differences in competitiveness and franchise value", "Size and complexity confounds"], "causal_language_strength": 3, "uses_causal_claim": true}, "abstract_moves": {"question": {"present": true, "sentence_index": 0}, "gap": {"present": false, "sentence_index": -1}, "method": {"present": true, "sentence_index": 1}, "results": {"present": true, "sentence_index": 2}, "magnitude": {"present": false, "sentence_index": -1}, "contribution": {"present": true, "sentence_index": 3}}, "introduction": {"moves": [{"paragraph_index": 0, "move": "motivation"}, {"paragraph_index": 0, "move": "literature_gap"}, {"paragraph_index": 0, "move": "preview_of_approach"}, {"paragraph_index": 0, "move": "preview_of_results"}, {"paragraph_index": 1, "move": "literature_gap"}, {"paragraph_index": 1, "move": "preview_of_approach"}, {"paragraph_index": 2, "move": "preview_of_results"}, {"paragraph_index": 2, "move": "policy_or_broader_implication"}, {"paragraph_index": 3, "move": "identification_defense"}, {"paragraph_index": 3, "move": "robustness_mention"}, {"paragraph_index": 4, "move": "mechanism_or_theory_sketch"}, {"paragraph_index": 5, "move": "related_literature_positioning"}, {"paragraph_index": 5, "move": "contribution_statement"}, {"paragraph_index": 6, "move": "roadmap"}], "contribution_paragraph_index": 5, "contribution_types": ["new_evidence", "new_data_or_measure", "new_identification"], "roadmap_present": true, "literature_positioning_location": "inside_introduction"}, "section_roles": [{"idx": 0, "role": "introduction"}, {"idx": 1, "role": "other"}, {"idx": 2, "role": "empirical_design"}, {"idx": 3, "role": "empirical_design"}, {"idx": 4, "role": "results"}, {"idx": 5, "role": "robustness"}, {"idx": 6, "role": "conclusion"}], "results_presentation": {"economic_significance_discussed": true, "statistical_significance_language": "unclear", "magnitude_statements_in_intro": false}, "robustness": {"location": "mixed", "types": ["alternative_specification", "alternative_sample_period", "other"]}, "tables": {"convention_notes": "Table notes define the sample (BHC-quarters, period), the treatment definition (top five in district-quarter or within 25% of the top five), matching criteria, and how variables are constructed (rolling eight-quarter forward standard deviations, one-year forward growth). Some notes refer readers to the Internet Appendix for variable details. Clustering by BHC is stated in the results text rather than in the visible note excerpts.", "units_stated_in_notes": true, "standard_errors_description": "clustered"}, "figures": {"uncertainty_shown": "unclear"}, "conclusion": {"bounded_claims": true, "policy_implications": true, "open_questions": false, "restates_contribution": true}, "hedging": {"level": "moderate", "typical_devices": ["consistent with", "suggest", "plausibly exogenous", "explicit caveats on natural experiment assumptions", "acknowledging mechanisms not identified", "may"]}, "claim_evidence": [{"claim": "Top size-ranked BHCs in a district get more supervisory hours, net of size, complexity and risk", "evidence_type": "table", "evidence_ref": "Table II, Table III, Figure 1"}, {"claim": "Top BHCs hold less risky loans and are less volatile than matched peers", "evidence_type": "table", "evidence_ref": "Table V"}, {"claim": "Top BHCs are less sensitive to industry downturns", "evidence_type": "table", "evidence_ref": "Table VI"}, {"claim": "No meaningful difference in profitability, growth or Sharpe ratio between Top BHCs and matches", "evidence_type": "table", "evidence_ref": "Table V"}, {"claim": "Results hold with district-quarter fixed effects", "evidence_type": "table", "evidence_ref": "Table VII"}, {"claim": "2SLS using Top as an instrument for supervisory hours confirms the effects for 2006-2014", "evidence_type": "table", "evidence_ref": "Table X"}], "structural_summary": "The introduction motivates supervision as distinct from regulation, flags the gap that its effect is understudied, and previews the new hours data, the Top-rank identification strategy and the risk-down/performance-unchanged results. It then defends identification, sketches possible mechanisms, positions the paper in the literature, and closes with a roadmap. The body describes the institutional setting, shows that top rank predicts supervisory hours, builds a matched sample, and presents differences in means, downturn tests and district fixed-effects results. Further analyses and 2SLS follow, and the conclusion states caveats.", "writing_profile_keywords": ["bank supervision", "supervisory hours data", "matched sample", "district rank identification", "institutional detail", "risk vs performance tradeoff", "caveated causal claims", "2SLS"], "confidence": 0.82, "notes": "Section I is institutional background. Statistical-significance reporting conventions are not visible in the excerpts. The introduction gives no numeric magnitudes, and the abstract contains none either."}, "model": "claude-opus-5-5", "stop_reason": "end_turn", "latency_s": 17.26, "usage": {"input": 6964, "output": 2133, "cache_read": 3968, "cache_write": 0}, "cost_usd": 0.07131, "request_id": "req_011CggqypdppARXsUNAuEEjC", "cached": false, "ts": "2026-11-03T23:15:38+00:00", "effort": "medium"}