{"text": "{\"genre\":\"mixed_theory_empirical\",\"subfield\":\"household_finance\",\"subfield_secondary\":\"asset_pricing\",\"primary_method\":\"reduced_form_regression\",\"identification\":{\"estimand\":\"Conditional associations between household portfolio value loadings and investor characteristics (age, wealth, leverage, human capital, labor income risk, industry macroeconomic exposure)\",\"strategy\":\"Pooled panel regressions of portfolio value loadings on household characteristics with year, industry and county fixed effects, using Swedish administrative data. Cohort plots and industry sorts complement the regressions. A twin subsample controls for latent family-level fixed effects.\",\"key_assumptions\":[\"Industry sensitivity to national income growth proxies systematic labor income risk\",\"Twin fixed effects absorb latent background and risk attitudes\",\"Observed characteristics are not proxies for other stock characteristics\"],\"threats_addressed\":[\"popular widely held stocks driving results\",\"investor experience\",\"stock characteristics other than value loading (dividend yield, size, firm age, skewness, taxes, professional proximity)\",\"latent investor fixed effects (twins)\",\"passive versus active changes in loadings\"],\"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\":1},\"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\":1,\"move\":\"preview_of_results\"},{\"paragraph_index\":2,\"move\":\"robustness_mention\"},{\"paragraph_index\":2,\"move\":\"identification_defense\"},{\"paragraph_index\":3,\"move\":\"contribution_statement\"},{\"paragraph_index\":4,\"move\":\"mechanism_or_theory_sketch\"},{\"paragraph_index\":5,\"move\":\"related_literature_positioning\"},{\"paragraph_index\":6,\"move\":\"roadmap\"}],\"contribution_paragraph_index\":3,\"contribution_types\":[\"new_evidence\",\"new_theory_or_model\"],\"roadmap_present\":true,\"literature_positioning_location\":\"both\"},\"section_roles\":[{\"idx\":0,\"role\":\"introduction\"},{\"idx\":1,\"role\":\"data\"},{\"idx\":2,\"role\":\"results\"},{\"idx\":3,\"role\":\"results\"},{\"idx\":4,\"role\":\"theory\"},{\"idx\":5,\"role\":\"theory\"},{\"idx\":6,\"role\":\"theory\"},{\"idx\":7,\"role\":\"robustness\"},{\"idx\":8,\"role\":\"conclusion\"},{\"idx\":9,\"role\":\"appendix\"}],\"results_presentation\":{\"economic_significance_discussed\":true,\"statistical_significance_language\":\"unclear\",\"magnitude_statements_in_intro\":true},\"robustness\":{\"location\":\"mixed\",\"types\":[\"subsample\",\"alternative_measure\",\"alternative_specification\",\"other\"]},\"tables\":{\"convention_notes\":\"Table notes describe the sample, the portfolio level (risky, stock or fund), the fixed effects included and the reference date (end of 2003). A dedicated table translates life-cycle changes into economic significance. A variable definitions table appears in the appendix.\",\"units_stated_in_notes\":false,\"standard_errors_description\":\"unclear\"},\"figures\":{\"uncertainty_shown\":\"unclear\"},\"conclusion\":{\"bounded_claims\":true,\"policy_implications\":false,\"open_questions\":true,\"restates_contribution\":true},\"hedging\":{\"level\":\"moderate\",\"typical_devices\":[\"consistent with\",\"seem evident\",\"appear remarkably consistent\",\"to the best of our knowledge\",\"unlikely to be due to\"]},\"claim_evidence\":[{\"claim\":\"Households shift from growth to value as they age (the value ladder)\",\"evidence_type\":\"figure\",\"evidence_ref\":\"Figure 2\"},{\"claim\":\"Value loading rises with age and balance sheet strength and falls with human capital and income risk\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table III\"},{\"claim\":\"A single national income factor explains on average 88% of time-series variation in industry per-capita income\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table VIII\"},{\"claim\":\"Households in highly cyclical industries hold lower value loadings, especially when young\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table IX; Figure 3\"},{\"claim\":\"Results are not driven by the most widely held popular stocks\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table X\"},{\"claim\":\"Households actively rebalance their value loadings\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table VII\"}],\"structural_summary\":\"The paper frames the value premium puzzle as a contest between risk-based and behavioral explanations and argues that holdings data can help discriminate between them. It then describes Swedish administrative data and the construction of local factors. The core findings follow: life-cycle and balance-sheet determinants of portfolio value tilts, followed by labor income risk across industries. An equilibrium model relates the evidence to risk-based theories, with a shorter section on sentiment explanations. Robustness checks, mostly in the Internet Appendix, precede a conclusion that restates the findings and suggests modeling extensions.\",\"writing_profile_keywords\":[\"administrative panel\",\"household portfolios\",\"value premium\",\"life cycle\",\"hedging demand\",\"consistency with theory\",\"Internet Appendix heavy\"],\"confidence\":0.8,\"notes\":\"Section idx 5 is a parsing artifact (equation fragment) within the model section. The equilibrium model is derived in the Internet Appendix. Standard error type is not visible in the excerpts.\"}", "json": {"genre": "mixed_theory_empirical", "subfield": "household_finance", "subfield_secondary": "asset_pricing", "primary_method": "reduced_form_regression", "identification": {"estimand": "Conditional associations between household portfolio value loadings and investor characteristics (age, wealth, leverage, human capital, labor income risk, industry macroeconomic exposure)", "strategy": "Pooled panel regressions of portfolio value loadings on household characteristics with year, industry and county fixed effects, using Swedish administrative data. Cohort plots and industry sorts complement the regressions. 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It then describes Swedish administrative data and the construction of local factors. The core findings follow: life-cycle and balance-sheet determinants of portfolio value tilts, followed by labor income risk across industries. An equilibrium model relates the evidence to risk-based theories, with a shorter section on sentiment explanations. Robustness checks, mostly in the Internet Appendix, precede a conclusion that restates the findings and suggests modeling extensions.", "writing_profile_keywords": ["administrative panel", "household portfolios", "value premium", "life cycle", "hedging demand", "consistency with theory", "Internet Appendix heavy"], "confidence": 0.8, "notes": "Section idx 5 is a parsing artifact (equation fragment) within the model section. The equilibrium model is derived in the Internet Appendix. 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