1{"text": "{\"genre\":\"mixed_theory_empirical\",\"subfield\":\"macro_finance\",\"subfield_secondary\":\"corporate_finance (optimal contracting, firm dynamics)\",\"primary_method\":\"calibration_simulation\",\"identification\":{\"estimand\":\"Association between industry-level idiosyncratic volatility and the average firm-level capital-income-to-sales ratio; model-implied effect of volatility and rents on aggregate versus average capital share.\",\"strategy\":\"Stylized facts from Compustat/CRSP, a calibrated industry equilibrium model with entry and exit and worker insurance, comparative statics across stationary equilibria, and within-industry regressions of capital share on idiosyncratic volatility.\",\"key_assumptions\":[\"Shareholders are diversified while workers are risk-averse, so optimal contracts insure workers.\",\"Comparisons are between stationary equilibria rather than transition dynamics.\",\"Compustat public firms are representative for the mechanism.\"],\"threats_addressed\":[\"Pay-for-performance exposure in compensation (Appendix D).\",\"Public versus private firm differences (Appendix B).\",\"Timing mismatch between stationary comparisons and observed data dynamics.\"],\"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\":2},\"results\":{\"present\":true,\"sentence_index\":3},\"magnitude\":{\"present\":false,\"sentence_index\":-1},\"contribution\":{\"present\":false,\"sentence_index\":-1}},\"introduction\":{\"moves\":[{\"paragraph_index\":0,\"move\":\"motivation\"},{\"paragraph_index\":0,\"move\":\"tension_or_puzzle\"},{\"paragraph_index\":1,\"move\":\"related_literature_positioning\"},{\"paragraph_index\":2,\"move\":\"preview_of_approach\"},{\"paragraph_index\":2,\"move\":\"preview_of_results\"},{\"paragraph_index\":3,\"move\":\"mechanism_or_theory_sketch\"},{\"paragraph_index\":4,\"move\":\"preview_of_results\"},{\"paragraph_index\":5,\"move\":\"preview_of_results\"},{\"paragraph_index\":6,\"move\":\"contribution_statement\"},{\"paragraph_index\":6,\"move\":\"related_literature_positioning\"}],\"contribution_paragraph_index\":6,\"contribution_types\":[\"new_evidence\",\"new_theory_or_model\"],\"roadmap_present\":false,\"literature_positioning_location\":\"inside_introduction\"},\"section_roles\":[{\"idx\":0,\"role\":\"introduction\"},{\"idx\":1,\"role\":\"data\"},{\"idx\":2,\"role\":\"theory\"},{\"idx\":3,\"role\":\"theory\"},{\"idx\":4,\"role\":\"theory\"},{\"idx\":5,\"role\":\"results\"},{\"idx\":6,\"role\":\"conclusion\"},{\"idx\":7,\"role\":\"appendix\"},{\"idx\":8,\"role\":\"appendix\"},{\"idx\":9,\"role\":\"appendix\"},{\"idx\":10,\"role\":\"appendix\"},{\"idx\":11,\"role\":\"appendix\"}],\"results_presentation\":{\"economic_significance_discussed\":true,\"statistical_significance_language\":\"unclear\",\"magnitude_statements_in_intro\":true},\"robustness\":{\"location\":\"appendix\",\"types\":[\"alternative_specification\",\"subsample\",\"other\"]},\"tables\":{\"convention_notes\":\"Few tables. A calibration table pairs data targets with model moments, a table compares data changes with model-predicted changes across periods, and an industry regression table follows. Notes describe sample filters and variable construction.\",\"units_stated_in_notes\":true,\"standard_errors_description\":\"unclear\"},\"figures\":{\"uncertainty_shown\":\"unclear\"},\"conclusion\":{\"bounded_claims\":false,\"policy_implications\":false,\"open_questions\":false,\"restates_contribution\":true},\"hedging\":{\"level\":\"moderate\",\"typical_devices\":[\"consistent with\",\"largely\",\"is associated with\",\"caveat that calibration compares stationary equilibria\"]},\"claim_evidence\":[{\"claim\":\"Aggregate capital share of public firms rose from about 40% to 60% since 1980.\",\"evidence_type\":\"figure\",\"evidence_ref\":\"Figure 1\"},{\"claim\":\"Aggregate factor shares are driven by mega-firms, while the average firm's capital share fell.\",\"evidence_type\":\"figure\",\"evidence_ref\":\"Figures 2, 3, 9\"},{\"claim\":\"Doubling rents and raising volatility from 20% to 40% replicates the rise in aggregate and the fall in average capital share.\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table II\"},{\"claim\":\"Within-industry increases in idiosyncratic volatility are associated with lower average capital-income-to-sales ratios.\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table III\"},{\"claim\":\"Dispersion effect is strongest in health and technology industries, which saw large volatility increases.\",\"evidence_type\":\"figure\",\"evidence_ref\":\"Figure 10\"},{\"claim\":\"Higher volatility lowers the exit threshold and fattens the right tail of the stationary productivity distribution.\",\"evidence_type\":\"equation_or_proof\",\"evidence_ref\":\"Section III, Figure 7, Appendix C\"}],\"structural_summary\":\"The paper opens with a divergence puzzle: aggregate capital share rose while firm-level shares fell. A stylized-facts section documents this divergence. A dynamic industry equilibrium model with worker insurance and endogenous exit follows, along with its equilibrium analysis. The model is then calibrated and run through comparative statics across stationary equilibria. Supporting empirical evidence comes from size-quantile, industry and regression analyses. Appendices cover data, private firms, proofs, pay-for-performance and valuation.\",\"writing_profile_keywords\":[\"stylized facts first\",\"model as laboratory\",\"selection mechanism\",\"calibration\",\"national income accounting\",\"supporting evidence\",\"differentiation from Autor et al.\"],\"confidence\":0.8,\"notes\":\"Empirical evidence is framed as consistent with the model rather than causal. The type of standard errors is not visible. Uncertainty bands in figures cannot be assessed from the captions.\"}", "json": {"genre": "mixed_theory_empirical", "subfield": "macro_finance", "subfield_secondary": "corporate_finance (optimal contracting, firm dynamics)", "primary_method": "calibration_simulation", "identification": {"estimand": "Association between industry-level idiosyncratic volatility and the average firm-level capital-income-to-sales ratio; model-implied effect of volatility and rents on aggregate versus average capital share.", "strategy": "Stylized facts from Compustat/CRSP, a calibrated industry equilibrium model with entry and exit and worker insurance, comparative statics across stationary equilibria, and within-industry regressions of capital share on idiosyncratic volatility.", "key_assumptions": ["Shareholders are diversified while workers are risk-averse, so optimal contracts insure workers.", "Comparisons are between stationary equilibria rather than transition dynamics.", "Compustat public firms are representative for the mechanism."], "threats_addressed": ["Pay-for-performance exposure in compensation (Appendix D).", "Public versus private firm differences (Appendix B).", "Timing mismatch between stationary comparisons and observed data dynamics."], "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": 2}, "results": {"present": true, "sentence_index": 3}, "magnitude": {"present": false, "sentence_index": -1}, "contribution": {"present": false, "sentence_index": -1}}, "introduction": {"moves": [{"paragraph_index": 0, "move": "motivation"}, {"paragraph_index": 0, "move": "tension_or_puzzle"}, {"paragraph_index": 1, "move": "related_literature_positioning"}, {"paragraph_index": 2, "move": "preview_of_approach"}, {"paragraph_index": 2, "move": "preview_of_results"}, {"paragraph_index": 3, "move": "mechanism_or_theory_sketch"}, {"paragraph_index": 4, "move": "preview_of_results"}, {"paragraph_index": 5, "move": "preview_of_results"}, {"paragraph_index": 6, "move": "contribution_statement"}, {"paragraph_index": 6, "move": "related_literature_positioning"}], "contribution_paragraph_index": 6, "contribution_types": ["new_evidence", "new_theory_or_model"], "roadmap_present": false, "literature_positioning_location": "inside_introduction"}, "section_roles": [{"idx": 0, "role": "introduction"}, {"idx": 1, "role": "data"}, {"idx": 2, "role": "theory"}, {"idx": 3, "role": "theory"}, {"idx": 4, "role": "theory"}, {"idx": 5, "role": "results"}, {"idx": 6, "role": "conclusion"}, {"idx": 7, "role": "appendix"}, {"idx": 8, "role": "appendix"}, {"idx": 9, "role": "appendix"}, {"idx": 10, "role": "appendix"}, {"idx": 11, "role": "appendix"}], "results_presentation": {"economic_significance_discussed": true, "statistical_significance_language": "unclear", "magnitude_statements_in_intro": true}, "robustness": {"location": "appendix", "types": ["alternative_specification", "subsample", "other"]}, "tables": {"convention_notes": "Few tables. 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