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jru-replication-package

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Use when assembling the data, code, and experiment materials for a Journal of Risk and Uncertainty (JRU) manuscript and writing its Data Availability Statement. Builds a transparent, reproducible package; it does not invent evidence or citations.

Journal-of-Risk-and-Uncertainty-Skills/skills/jru-replication-package/SKILL.md

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# Replication Package (jru-replication-package)

## When to trigger

- The paper has experimental or field results and you need a Data Availability Statement for the Springer submission
- z-Tree / oTree / Qualtrics materials and the structural estimation code exist but are not organized for a stranger to run
- A referee or the editor asks whether the elicitation could be reproduced from the materials provided
- Decisions about what data can be shared (human-subjects constraints) versus what must be documented are unsettled

## What JRU / Springer expect

JRU requires a **Data Availability Statement** on original research articles, and Springer strongly encourages sharing the underlying research data (deposit in a recognized repository, with a citable DOI where possible). For this journal the package has two faces that generic econ replication advice misses: the **experiment must be reproducible as a procedure** (instructions, screens, incentive rules — not just the resulting dataset), and the **structural estimation must be re-runnable** (code that recovers the reported parameters). Exact policy wording and any mandatory-deposit details are 待核实 — verify on the official submission guidelines.

### The two-face package
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