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restud-replication-package

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Use when assembling the data and code deposit for an accepted empirical The Review of Economic Studies (REStud) manuscript, writing the README, or auditing reproducibility before the journal's Data Editor runs the pre-publication reproducibility check. Builds a deposit-ready package; does not run the analysis. Verify the current REStud/OUP data policy on the official page.

Review-of-Economic-Studies-Skills/skills/restud-replication-package/SKILL.md

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# REStud Replication Package (restud-replication-package)

## When to trigger

- A conditional acceptance arrived and the Data Editor's reproducibility check is coming
- Drafting the README at any point (recommended: from day one of the project)
- Auditing reproducibility before submitting the deposit
- A prior deposit was returned for incomplete provenance or non-running code

## REStud's actual data & code availability policy

REStud has a **Data Editor** (Miklós Koren; verified 2026-05-30) and follows the **AEA Data and Code Availability Standard (DCAS)**, the same standard the AEA journals and Econometric Society use. Its defining feature, which differs from journals that merely "encourage sharing": the Data Editor runs a **reproducibility check on the data and code before the paper is published** — the code is actually executed to confirm it reproduces the reported results, and publication is conditional on passing. Accepted papers' replication packages are **deposited at Zenodo** (the journal's / Society's Zenodo community), where the package receives a DOI; you may reserve the DOI in advance and finalize after the check. **Exemptions exist for confidential / proprietary / restricted data** — notify the editors *at submission* — but even then you must provide the **code plus a clear description of how to obtain the data**. Authors may also be asked for materials at the review stage if a referee or editor requests it. Exact forms, repository, and timing **change — verify on https://www.restud.com/submissions/ and the REStud Data Editor site (https://restud.github.io/data-editor/before/) before depositing.**

## Repository structure
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