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Mechanism tests interact RShare with aggregate shocks (GDP growth, recessions) for machine investment and routine employment.",28 "key_assumptions": [29 "RShare proxies for the presence of labor-technology switching options",30 "Within-industry comparisons absorb industry-level confounds",31 "Betas and future returns proxy for systematic risk and expected returns"32 ],33 "threats_addressed": [34 "operating leverage as an alternative explanation",35 "known firm characteristics that predict risk (via double sorts and panel controls)",36 "asymmetry between recessions and expansions (negative versus positive shocks)"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": 153 },54 "results": {55 "present": true,56 "sentence_index": 457 },58 "magnitude": {59 "present": false,60 "sentence_index": -161 },62 "contribution": {63 "present": false,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": "preview_of_approach"76 },77 {78 "paragraph_index": 0,79 "move": "mechanism_or_theory_sketch"80 },81 {82 "paragraph_index": 1,83 "move": "preview_of_results"84 },85 {86 "paragraph_index": 2,87 "move": "preview_of_results"88 },89 {90 "paragraph_index": 3,91 "move": "identification_defense"92 },93 {94 "paragraph_index": 3,95 "move": "contribution_statement"96 },97 {98 "paragraph_index": 3,99 "move": "related_literature_positioning"100 },101 {102 "paragraph_index": 4,103 "move": "roadmap"104 }105 ],106 "contribution_paragraph_index": 3,107 "contribution_types": [108 "new_theory_or_model",109 "new_evidence",110 "new_data_or_measure"111 ],112 "roadmap_present": true,113 "literature_positioning_location": "inside_introduction"114 },115 "section_roles": [116 {117 "idx": 0,118 "role": "introduction"119 },120 {121 "idx": 1,122 "role": "theory"123 },124 {125 "idx": 2,126 "role": "data"127 },128 {129 "idx": 3,130 "role": "results"131 },132 {133 "idx": 4,134 "role": "conclusion"135 },136 {137 "idx": 5,138 "role": "appendix"139 },140 {141 "idx": 6,142 "role": "appendix"143 }144 ],145 "results_presentation": {146 "economic_significance_discussed": true,147 "statistical_significance_language": "unclear",148 "magnitude_statements_in_intro": true149 },150 "robustness": {151 "location": "within_results",152 "types": [153 "alternative_measure",154 "alternative_specification",155 "subsample"156 ]157 },158 "tables": {159 "convention_notes": "Notes define sorting procedures (end-of-June, within Fama-French 17 industries, value-weighted quintiles), define variables, and state sample periods. 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Standard-error treatment is not visible in the excerpts.",160 "units_stated_in_notes": true,161 "standard_errors_description": "unclear"162 },163 "figures": {164 "uncertainty_shown": "unclear"165 },166 "conclusion": {167 "bounded_claims": false,168 "policy_implications": false,169 "open_questions": false,170 "restates_contribution": true171 },172 "hedging": {173 "level": "moderate",174 "typical_devices": [175 "'it seems that'",176 "'suggesting that'",177 "'do seem to be able to'",178 "'to the best of my knowledge'",179 "'likely to interrupt'"180 ]181 },182 "claim_evidence": [183 {184 "claim": "Betas of high-RShare portfolios are over 20% lower than those of low-RShare portfolios, with a high-minus-low return spread of about -3.9% per year.",185 "evidence_type": "table",186 "evidence_ref": "Tables III, IV"187 },188 {189 "claim": "High-RShare firms have lower exposure to cash-flow news and to GDP growth.",190 "evidence_type": "table",191 "evidence_ref": "Table V"192 },193 {194 "claim": "RShare predicts lower conditional betas and returns after controlling for firm characteristics.",195 "evidence_type": "table",196 "evidence_ref": "Tables VI, VII"197 },198 {199 "claim": "In downturns, high-RShare firms invest more in machines and cut more routine-task labor than industry peers.",200 "evidence_type": "table",201 "evidence_ref": "Tables VIII, IX; Figure 2"202 },203 {204 "claim": "High-RShare firms cut costs more and lose less value during recessions, but not during expansions.",205 "evidence_type": "table",206 "evidence_ref": "Table X"207 },208 {209 "claim": "The switching option is exercised when productivity falls below a threshold, which lowers firm risk.",210 "evidence_type": "equation_or_proof",211 "evidence_ref": "Section I; Appendix A"212 },213 {214 "claim": "Routine-task job loss is concentrated in recessions.",215 "evidence_type": "prior_literature",216 "evidence_ref": "Jaimovich and Siu (2014); Figure 1"217 }218 ],219 "structural_summary": "The paper opens with labor-economics evidence that routine jobs are automated mainly in recessions. It frames labor-technology substitution as a state-contingent investment option distinct from growth options. A simple real-options switching model then predicts lower risk for firms with routine-task labor. Next, an establishment-level measure of routine-labor share is built from occupational data. The empirical section proceeds in three steps: characteristics, then asset-pricing tests via sorts, betas and panel regressions, then mechanism tests on investment, employment and performance around aggregate shocks. It also separates the mechanism from an operating-leverage explanation. The conclusion restates the insight, and proofs and data details are placed in appendices.",220 "writing_profile_keywords": [221 "model-guided empirics",222 "real options",223 "portfolio sorts",224 "mechanism tests",225 "new measure",226 "first-person singular",227 "cross-sectional asset pricing"228 ],229 "confidence": 0.8,230 "notes": "Single-author paper. 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