1{"text": "{\"genre\":\"empirical\",\"subfield\":\"asset_pricing\",\"subfield_secondary\":\"corporate_finance (managerial compensation / agency in asset management)\",\"primary_method\":\"reduced_form_regression\",\"identification\":{\"estimand\":\"Cross-sectional associations between the likelihood of compensation contract features (performance pay, AUM pay, profit pay, deferred pay, evaluation period) and proxies for agency conflicts, alternative monitoring, and manager characteristics; also associations of contract features with future performance and fees.\",\"strategy\":\"Logistic and OLS regressions on hand-collected SAI disclosure data with advisor-, fund-, and manager-level controls. Supplemented by bootstrap simulations of randomly assigned contracts and by change regressions around switches of advisory firm.\",\"key_assumptions\":[\"Proxies (clientele dispersion, financial affiliations, ownership) capture the intensity of agency conflicts\",\"Disclosed SAI compensation descriptions accurately reflect actual contracts\",\"Contract choice reflects an optimal contracting equilibrium\"],\"threats_addressed\":[\"Spurious correlation from contract clustering within families, addressed with randomly assigned contract simulations\",\"Time-invariant unobservables, addressed with changes in contracts around advisory firm changes\"],\"causal_language_strength\":2,\"uses_causal_claim\":false},\"abstract_moves\":{\"question\":{\"present\":true,\"sentence_index\":0},\"gap\":{\"present\":false,\"sentence_index\":-1},\"method\":{\"present\":true,\"sentence_index\":0},\"results\":{\"present\":true,\"sentence_index\":2},\"magnitude\":{\"present\":false,\"sentence_index\":-1},\"contribution\":{\"present\":true,\"sentence_index\":1}},\"introduction\":{\"moves\":[{\"paragraph_index\":0,\"move\":\"motivation\"},{\"paragraph_index\":0,\"move\":\"literature_gap\"},{\"paragraph_index\":0,\"move\":\"other\"},{\"paragraph_index\":1,\"move\":\"preview_of_results\"},{\"paragraph_index\":2,\"move\":\"preview_of_approach\"},{\"paragraph_index\":3,\"move\":\"mechanism_or_theory_sketch\"},{\"paragraph_index\":3,\"move\":\"preview_of_results\"},{\"paragraph_index\":4,\"move\":\"preview_of_results\"},{\"paragraph_index\":5,\"move\":\"preview_of_results\"},{\"paragraph_index\":6,\"move\":\"contribution_statement\"},{\"paragraph_index\":7,\"move\":\"related_literature_positioning\"},{\"paragraph_index\":7,\"move\":\"tension_or_puzzle\"}],\"contribution_paragraph_index\":6,\"contribution_types\":[\"new_evidence\",\"new_data_or_measure\"],\"roadmap_present\":false,\"literature_positioning_location\":\"inside_introduction\"},\"section_roles\":[{\"idx\":0,\"role\":\"introduction\"},{\"idx\":1,\"role\":\"other\"},{\"idx\":2,\"role\":\"data\"},{\"idx\":3,\"role\":\"results\"},{\"idx\":4,\"role\":\"results\"},{\"idx\":5,\"role\":\"results\"},{\"idx\":6,\"role\":\"conclusion\"},{\"idx\":7,\"role\":\"appendix\"},{\"idx\":8,\"role\":\"appendix\"}],\"results_presentation\":{\"economic_significance_discussed\":true,\"statistical_significance_language\":\"unclear\",\"magnitude_statements_in_intro\":true},\"robustness\":{\"location\":\"within_results\",\"types\":[\"placebo\",\"alternative_specification\",\"other\"]},\"tables\":{\"convention_notes\":\"Table notes describe the regression type (logit with coefficients and marginal effects at means; OLS) and the sample. Variables are deferred to the Appendix, whose definitions include units and sources. Summary tables report mean, SD and percentiles. The bootstrap table reports simulated t-statistic distributions.\",\"units_stated_in_notes\":true,\"standard_errors_description\":\"unclear\"},\"figures\":{\"uncertainty_shown\":\"no_figures\"},\"conclusion\":{\"bounded_claims\":true,\"policy_implications\":false,\"open_questions\":false,\"restates_contribution\":true},\"hedging\":{\"level\":\"moderate\",\"typical_devices\":[\"'broadly consistent with' an optimal contracting equilibrium\",\"'as proxied by'\",\"'arguably'\",\"'we speculate'\",\"'little evidence'\",\"'mixed evidence'\"]},\"claim_evidence\":[{\"claim\":\"Most portfolio managers receive explicit performance-linked bonuses, often large relative to base salary.\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table I\"},{\"claim\":\"Performance-based pay and deferred pay are more likely when agency conflicts are more intense.\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table III\"},{\"claim\":\"Investor sophistication, flow discipline and outsourcing dismissal threat substitute for explicit incentives; managerial ownership does not.\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table III\"},{\"claim\":\"Determinant results are not an artifact of chance, per randomly assigned contract simulations.\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table IV\"},{\"claim\":\"Contract changes after advisory firm switches track changes in determinants.\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table V\"},{\"claim\":\"Compensation arrangements are not associated with differences in future fund performance.\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table VII\"},{\"claim\":\"Performance pay goes with higher advisory fees and lower distribution fees, leaving total fees unchanged.\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table VIII\"}],\"structural_summary\":\"The paper motivates the topic with the economic importance of mutual funds and the lack of data on manager-level incentives. It then introduces a new data source created by an SEC disclosure rule and describes pay patterns. Three hypotheses (agency intensity, substitute monitoring, manager characteristics) are previewed with findings. The body runs: institutional background; data and construction of compensation variables; a large determinants section with hypothesis development, logit results and robustness (simulation, advisory firm changes); evaluation-period determinants; and links to performance and fees. The conclusion restates findings within an optimal-contracting interpretation.\",\"writing_profile_keywords\":[\"hand-collected data\",\"first systematic evidence\",\"hypothesis-testing structure\",\"optimal contracting interpretation\",\"agency theory\",\"descriptive-then-determinants\",\"null result on performance\"],\"confidence\":0.8,\"notes\":\"No roadmap paragraph is visible in the excerpts. The way statistical significance is reported is not visible in the table notes. Section I is institutional background rather than a literature review, so it is labeled 'other'. Robustness is placed inside Section III.D.\"}", "json": {"genre": "empirical", "subfield": "asset_pricing", "subfield_secondary": "corporate_finance (managerial compensation / agency in asset management)", "primary_method": "reduced_form_regression", "identification": {"estimand": "Cross-sectional associations between the likelihood of compensation contract features (performance pay, AUM pay, profit pay, deferred pay, evaluation period) and proxies for agency conflicts, alternative monitoring, and manager characteristics; also associations of contract features with future performance and fees.", "strategy": "Logistic and OLS regressions on hand-collected SAI disclosure data with advisor-, fund-, and manager-level controls. Supplemented by bootstrap simulations of randomly assigned contracts and by change regressions around switches of advisory firm.", "key_assumptions": ["Proxies (clientele dispersion, financial affiliations, ownership) capture the intensity of agency conflicts", "Disclosed SAI compensation descriptions accurately reflect actual contracts", "Contract choice reflects an optimal contracting equilibrium"], "threats_addressed": ["Spurious correlation from contract clustering within families, addressed with randomly assigned contract simulations", "Time-invariant unobservables, addressed with changes in contracts around advisory firm changes"], "causal_language_strength": 2, "uses_causal_claim": false}, "abstract_moves": {"question": {"present": true, "sentence_index": 0}, "gap": {"present": false, "sentence_index": -1}, "method": {"present": true, "sentence_index": 0}, "results": {"present": true, "sentence_index": 2}, "magnitude": {"present": false, "sentence_index": -1}, "contribution": {"present": true, "sentence_index": 1}}, "introduction": {"moves": [{"paragraph_index": 0, "move": "motivation"}, {"paragraph_index": 0, "move": "literature_gap"}, {"paragraph_index": 0, "move": "other"}, {"paragraph_index": 1, "move": "preview_of_results"}, {"paragraph_index": 2, "move": "preview_of_approach"}, {"paragraph_index": 3, "move": "mechanism_or_theory_sketch"}, {"paragraph_index": 3, "move": "preview_of_results"}, {"paragraph_index": 4, "move": "preview_of_results"}, {"paragraph_index": 5, "move": "preview_of_results"}, {"paragraph_index": 6, "move": "contribution_statement"}, {"paragraph_index": 7, "move": "related_literature_positioning"}, {"paragraph_index": 7, "move": "tension_or_puzzle"}], "contribution_paragraph_index": 6, "contribution_types": ["new_evidence", "new_data_or_measure"], "roadmap_present": false, "literature_positioning_location": "inside_introduction"}, "section_roles": [{"idx": 0, "role": "introduction"}, {"idx": 1, "role": "other"}, {"idx": 2, "role": "data"}, {"idx": 3, "role": "results"}, {"idx": 4, "role": "results"}, {"idx": 5, "role": "results"}, {"idx": 6, "role": "conclusion"}, {"idx": 7, "role": "appendix"}, {"idx": 8, "role": "appendix"}], "results_presentation": {"economic_significance_discussed": true, "statistical_significance_language": "unclear", "magnitude_statements_in_intro": true}, "robustness": {"location": "within_results", "types": ["placebo", "alternative_specification", "other"]}, "tables": {"convention_notes": "Table notes describe the regression type (logit with coefficients and marginal effects at means; OLS) and the sample. Variables are deferred to the Appendix, whose definitions include units and sources. Summary tables report mean, SD and percentiles. The bootstrap table reports simulated t-statistic distributions.", "units_stated_in_notes": true, "standard_errors_description": "unclear"}, "figures": {"uncertainty_shown": "no_figures"}, "conclusion": {"bounded_claims": true, "policy_implications": false, "open_questions": false, "restates_contribution": true}, "hedging": {"level": "moderate", "typical_devices": ["'broadly consistent with' an optimal contracting equilibrium", "'as proxied by'", "'arguably'", "'we speculate'", "'little evidence'", "'mixed evidence'"]}, "claim_evidence": [{"claim": "Most portfolio managers receive explicit performance-linked bonuses, often large relative to base salary.", "evidence_type": "table", "evidence_ref": "Table I"}, {"claim": "Performance-based pay and deferred pay are more likely when agency conflicts are more intense.", "evidence_type": "table", "evidence_ref": "Table III"}, {"claim": "Investor sophistication, flow discipline and outsourcing dismissal threat substitute for explicit incentives; managerial ownership does not.", "evidence_type": "table", "evidence_ref": "Table III"}, {"claim": "Determinant results are not an artifact of chance, per randomly assigned contract simulations.", "evidence_type": "table", "evidence_ref": "Table IV"}, {"claim": "Contract changes after advisory firm switches track changes in determinants.", "evidence_type": "table", "evidence_ref": "Table V"}, {"claim": "Compensation arrangements are not associated with differences in future fund performance.", "evidence_type": "table", "evidence_ref": "Table VII"}, {"claim": "Performance pay goes with higher advisory fees and lower distribution fees, leaving total fees unchanged.", "evidence_type": "table", "evidence_ref": "Table VIII"}], "structural_summary": "The paper motivates the topic with the economic importance of mutual funds and the lack of data on manager-level incentives. It then introduces a new data source created by an SEC disclosure rule and describes pay patterns. Three hypotheses (agency intensity, substitute monitoring, manager characteristics) are previewed with findings. The body runs: institutional background; data and construction of compensation variables; a large determinants section with hypothesis development, logit results and robustness (simulation, advisory firm changes); evaluation-period determinants; and links to performance and fees. The conclusion restates findings within an optimal-contracting interpretation.", "writing_profile_keywords": ["hand-collected data", "first systematic evidence", "hypothesis-testing structure", "optimal contracting interpretation", "agency theory", "descriptive-then-determinants", "null result on performance"], "confidence": 0.8, "notes": "No roadmap paragraph is visible in the excerpts. The way statistical significance is reported is not visible in the table notes. Section I is institutional background rather than a literature review, so it is labeled 'other'. Robustness is placed inside Section III.D."}, "model": "claude-opus-5-5", "stop_reason": "end_turn", "latency_s": 17.72, "usage": {"input": 7914, "output": 2258, "cache_read": 3968, "cache_write": 0}, "cost_usd": 0.07761, "request_id": "req_011CggqFyJK4gmDMYqXZQF5D", "cached": false, "ts": "2026-11-03T23:06:11+00:00", "effort": "medium"}