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Monte Carlo tables give means and standard deviations across 1,000 draws, with true values stated for comparison. 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Two computational methods are introduced, and related conditions in the literature are positioned within the introduction. The body builds the consumption setup and numerical methods, proves the main theorem, and works through applications of increasing realism. It closes by comparing against alternative conditions and extending to unbounded state spaces, with proofs and numerical details in the appendices.",238 "writing_profile_keywords": [239 "theorem-driven",240 "necessary and sufficient conditions",241 "economic interpretation of a test statistic",242 "applications to calibrated models",243 "numerical methods",244 "literature comparison by sharpness"245 ],246 "confidence": 0.85,247 "notes": "Theoretical paper whose numerical applications use calibrations taken from the literature. Section IV, flagged by the role rule as robustness, is better described as a comparison with prior literature. 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