1{"text": "{\"genre\":\"mixed_theory_empirical\",\"subfield\":\"financial_intermediation_banking\",\"subfield_secondary\":\"household_finance\",\"primary_method\":\"instrumental_variables\",\"identification\":{\"estimand\":\"Effect of a lender's retained share of outstanding mortgages in a local area on the probability of foreclosing on 90+ day delinquent loans, and of zip-code concentration of outstanding mortgages on foreclosure rates and house price changes\",\"strategy\":\"Loan-level linear probability models with lender and location fixed effects, estimated conditional on serious delinquency; 2SLS using mergers of large nonfailing banks as an instrument for retained share and concentration; zip-code cross-sectional regressions with county fixed effects; heterogeneity across states with different foreclosure procedures\",\"key_assumptions\":[\"Mergers of large nonfailing banks are unrelated to local market characteristics (exclusion/exogeneity)\",\"Conditioning on 90+ day delinquency removes lenders' prior informational advantage\",\"Zip codes are the relevant area over which foreclosure externalities operate\"],\"threats_addressed\":[\"Lender informational advantage in census tracts where it retains more mortgages\",\"Unobservable zip code or lender characteristics\",\"Alternative mechanisms such as lender organizational capabilities to foreclose or renegotiate\"],\"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\":0}},\"introduction\":{\"moves\":[{\"paragraph_index\":0,\"move\":\"motivation\"},{\"paragraph_index\":0,\"move\":\"literature_gap\"},{\"paragraph_index\":0,\"move\":\"contribution_statement\"},{\"paragraph_index\":0,\"move\":\"preview_of_approach\"},{\"paragraph_index\":1,\"move\":\"identification_defense\"},{\"paragraph_index\":1,\"move\":\"robustness_mention\"},{\"paragraph_index\":2,\"move\":\"mechanism_or_theory_sketch\"},{\"paragraph_index\":2,\"move\":\"preview_of_results\"},{\"paragraph_index\":3,\"move\":\"preview_of_approach\"},{\"paragraph_index\":3,\"move\":\"preview_of_results\"},{\"paragraph_index\":3,\"move\":\"identification_defense\"}],\"contribution_paragraph_index\":0,\"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\":\"theory\"},{\"idx\":2,\"role\":\"data\"},{\"idx\":3,\"role\":\"results\"},{\"idx\":4,\"role\":\"results\"},{\"idx\":5,\"role\":\"conclusion\"}],\"results_presentation\":{\"economic_significance_discussed\":true,\"statistical_significance_language\":\"unclear\",\"magnitude_statements_in_intro\":true},\"robustness\":{\"location\":\"within_results\",\"types\":[\"alternative_specification\",\"subsample\",\"other\"]},\"tables\":{\"convention_notes\":\"Each table note names the estimator (OLS or 2SLS), the dependent variable and its window (2007–2010), and the variable of interest measured over 2004–2006. Notes refer back to Table I for variable definitions and state which fixed effects are included (e.g., county fixed effects). First-stage results are reported in separate columns.\",\"units_stated_in_notes\":true,\"standard_errors_description\":\"unclear\"},\"figures\":{\"uncertainty_shown\":\"no\",\"figures_note_placeholder_removed\":null},\"conclusion\":{\"bounded_claims\":false,\"policy_implications\":true,\"open_questions\":true,\"restates_contribution\":true},\"hedging\":{\"level\":\"moderate\",\"typical_devices\":[\"'evidence consistent with' phrasing\",\"'arguably' qualifiers\",\"framing hypotheses as conjectures\",\"'may' and 'suggest' in implications\"]},\"claim_evidence\":[{\"claim\":\"Lenders retaining a larger share of local outstanding mortgages are less likely to foreclose on seriously delinquent loans\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table II\"},{\"claim\":\"The foreclosure result holds and is quantitatively stronger when retained share is instrumented with bank mergers\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table III\"},{\"claim\":\"The retained-share effect is weaker where other lenders retain more, and differs in desirable versus distressed areas\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table IV\"},{\"claim\":\"Lenders with higher retained shares are more likely to modify delinquent mortgages\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table V\"},{\"claim\":\"Zip codes with higher Top4 concentration have lower foreclosure rates\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table VIII\"},{\"claim\":\"A one-SD increase in concentration is associated with about 3% smaller house price declines\",\"evidence_type\":\"table\",\"evidence_ref\":\"Table IX\"},{\"claim\":\"Lenders' foreclosure decisions are strategic substitutes and respond to own retained share\",\"evidence_type\":\"equation_or_proof\",\"evidence_ref\":\"Section I.B\"}],\"structural_summary\":\"The paper opens with the fire-sale literature and notes that lenders' ex post incentives have received little attention. It states its conjecture and gives reasons why the housing crisis is a good testing ground. A simple model then derives testable implications about lender concentration, foreclosures and prices. Loan-level LPM and IV tests follow, along with cross-sectional heterogeneity and mechanism tests (modifications, alternative channels). The paper then moves to zip-code-level aggregate tests of foreclosure rates and house prices using the merger instrument. It closes with policy implications for consolidation and bad banks, and calls for future research on other collateralized markets.\",\"writing_profile_keywords\":[\"fire-sale externalities\",\"model-motivated empirics\",\"instrumental variables with bank mergers\",\"loan-level and aggregate tests\",\"policy implications\",\"cautious causal language\"],\"confidence\":0.8,\"notes\":\"Standard-error type and significance-reporting conventions are not visible in the excerpts. The introduction has no visible roadmap paragraph. The literature is positioned within the introduction, and no separate literature section is seen.\"}", "json": {"genre": "mixed_theory_empirical", "subfield": "financial_intermediation_banking", "subfield_secondary": "household_finance", "primary_method": "instrumental_variables", "identification": {"estimand": "Effect of a lender's retained share of outstanding mortgages in a local area on the probability of foreclosing on 90+ day delinquent loans, and of zip-code concentration of outstanding mortgages on foreclosure rates and house price changes", "strategy": "Loan-level linear probability models with lender and location fixed effects, estimated conditional on serious delinquency; 2SLS using mergers of large nonfailing banks as an instrument for retained share and concentration; zip-code cross-sectional regressions with county fixed effects; heterogeneity across states with different foreclosure procedures", "key_assumptions": ["Mergers of large nonfailing banks are unrelated to local market characteristics (exclusion/exogeneity)", "Conditioning on 90+ day delinquency removes lenders' prior informational advantage", "Zip codes are the relevant area over which foreclosure externalities operate"], "threats_addressed": ["Lender informational advantage in census tracts where it retains more mortgages", "Unobservable zip code or lender characteristics", "Alternative mechanisms such as lender organizational capabilities to foreclose or renegotiate"], "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": 0}}, "introduction": {"moves": [{"paragraph_index": 0, "move": "motivation"}, {"paragraph_index": 0, "move": "literature_gap"}, {"paragraph_index": 0, "move": "contribution_statement"}, {"paragraph_index": 0, "move": "preview_of_approach"}, {"paragraph_index": 1, "move": "identification_defense"}, {"paragraph_index": 1, "move": "robustness_mention"}, {"paragraph_index": 2, "move": "mechanism_or_theory_sketch"}, {"paragraph_index": 2, "move": "preview_of_results"}, {"paragraph_index": 3, "move": "preview_of_approach"}, {"paragraph_index": 3, "move": "preview_of_results"}, {"paragraph_index": 3, "move": "identification_defense"}], "contribution_paragraph_index": 0, "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": "theory"}, {"idx": 2, "role": "data"}, {"idx": 3, "role": "results"}, {"idx": 4, "role": "results"}, {"idx": 5, "role": "conclusion"}], "results_presentation": {"economic_significance_discussed": true, "statistical_significance_language": "unclear", "magnitude_statements_in_intro": true}, "robustness": {"location": "within_results", "types": ["alternative_specification", "subsample", "other"]}, "tables": {"convention_notes": "Each table note names the estimator (OLS or 2SLS), the dependent variable and its window (2007–2010), and the variable of interest measured over 2004–2006. 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