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# Data audit

file SHA-256 rows cols
data/endowments.csv fc130a2f54c750a5834ec7314060d91f7984769c7c006ad04b98582a016ba74b 2 3 (agent, good1, good2)
data/parameters.csv 717807e75337fbf4aff8e4d74e0fc0b83b799f78fa689172be0d501cb3e43983 4 3 (parameter, value, description)
  • endowments: A=(8,2), B=(4,8); units of goods; no missing, no duplicates, all strictly positive. No dates (theoretical data).
  • parameters: alpha_A=0.4, alpha_B=0.6 (both in (0,1)); aggregate_endowment_good1=14, aggregate_endowment_good2=10.
  • Anomaly: sheet aggregate of good 1 (14) != sum of individual rows (8+4=12). Good 2 consistent (2+8=10).
  • Decision: individual endowments are the primary data (TASK.md) and determine wealth; aggregates are taken as row sums (12, 10). Sheet value 14 reported only as a diagnostic and in data_issues. Using 14 would be inconsistent with budget constraints (no price clears the market and Walras' law fails).
  • No information-availability violations: only data/ used; no time dimension.
  • Exclusions: none (see out/exclusions.csv; 2 raw -> 2 analysed).
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