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Figures are numerical illustrations whose captions list the exact parameter values used in each example or simulation.",161 "units_stated_in_notes": false,162 "standard_errors_description": "none"163 },164 "figures": {165 "uncertainty_shown": "mixed"166 },167 "conclusion": {168 "bounded_claims": false,169 "policy_implications": false,170 "open_questions": false,171 "restates_contribution": true172 },173 "hedging": {174 "level": "moderate",175 "typical_devices": [176 "openly calling the learning-from-trade link an assumption",177 "mentioning microfoundations for that assumption",178 "'can arise' / 'may be slow' modal phrasing",179 "presenting the model as a minor modification of a standard setup"180 ]181 },182 "claim_evidence": [183 {184 "claim": "An illiquidity trap can arise: excessive asymmetric information halts trade, which stops learning and perpetuates illiquidity.",185 "evidence_type": "equation_or_proof",186 "evidence_ref": "Section III.B; Appendix A proofs; Figure 2"187 },188 {189 "claim": "After unlikely observations push the economy into the illiquid region, liquidity can be slow to recover.",190 "evidence_type": "figure",191 "evidence_ref": "Figure 5 impulse response; Figure 3"192 },193 {194 "claim": "When structure mu changes over time, liquidity is higher in stable periods and remains fragile even in the long run.",195 "evidence_type": "equation_or_proof",196 "evidence_ref": "Section III.C; Figure 4"197 },198 {199 "claim": "Positive information flow from trading (Assumption 2) can be microfounded in several ways, some of which produce a trap.",200 "evidence_type": "equation_or_proof",201 "evidence_ref": "Appendix B"202 },203 {204 "claim": "More informativeness need not raise seller value when a regularity condition fails.",205 "evidence_type": "figure",206 "evidence_ref": "Figure 1"207 }208 ],209 "structural_summary": "The paper is a short theory article.\n\n- **Introduction:** It states the aim, defines liquidity as the share of potential gains from trade that are realized, and sketches a lemons model in which buyers learn how to interpret public signals from past history. It then previews the main results and the extension in which the economy's structure changes. A contribution paragraph frames trading-generated expertise as the novelty. Three literature-positioning paragraphs follow, then a roadmap.\n- **Body:** Model setup, then static equilibrium characterization, then a long dynamics section covering short-run and long-run outcomes and a changing mu, illustrated with numerical simulations.\n- **Conclusion:** One paragraph restating the implications.\n- **Appendices:** Proofs, plus microfoundations for the key assumption.",210 "writing_profile_keywords": [211 "pure theory",212 "Akerlof lemons",213 "social learning",214 "illiquidity trap",215 "propositions and proofs",216 "numerical illustration",217 "short conclusion",218 "literature strands enumerated"219 ],220 "confidence": 0.85,221 "notes": "No empirical work, so empirical fields are set to not applicable or none. 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