Replication data and code for “Credit-card disclosure design and the cost of generative AI choices”

The offline Python >=3.12 reproduction workflow makes no model calls and executes no saved model-generated program. It recomputes task-card costs, parses saved non-code responses, and verifies the core table, E1–E5, the headline-APR benchmark and selected sensitivity calculations. The original Dispersed-minus-Box estimate is USD 17.7171; the lowest-headline-APR rule has mean gap USD 21.3665 versus Box's USD 29.9977.

These are simulated deterministic choice costs, not realized consumer welfare. The original runner uses base seed 20260929 and the addendum uses 20261001, with each job seeded as base_seed × 1000 + its zero-based format-major index. Same-task formats do not use common random numbers.

Grouped comparisons E4/E5 span main/addendum runs and include generation variation; Box–Grouped also changes wording, order and length, so the increments do not identify separate mechanisms. The package preserves negative overlapping-variance diagnostics and identifies post-hoc inference. Only deployment-path metadata is normalized; retained observation lines, task files and the analysis pool are unchanged.

Model weights and the original survey workbook are not bundled; source URLs, revisions, hashes and rights-review notes are provided.</p>