Skills Data Science QE Replication And Data Policy Guide

QE Replication And Data Policy Guide

v20260724
qe-replication-and-data-policy
This guide outlines the rigorous requirements for preparing a reproducible package for Quantitative Economics (QE) journal submissions. It details the strict standards set by the Econometric Society Data Editor, covering raw data, code, documentation, and handling complex data exemptions to ensure the submission passes the pre-acceptance reproducibility check (DCAS compliant).
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Overview

Replication & Data Policy (qe-replication-and-data-policy)

When to trigger

  • You are preparing data and code for a QE submission or an accepted paper
  • You need to know exactly what the ES Data Editor checks and when
  • Some data are proprietary or restricted and you need to plan an exemption
  • You want the package built so the pre-acceptance reproducibility check passes on the first pass

The QE / Econometric Society replication regime (source map refreshed 2026-06-20)

QE follows the Econometric Society Data and Code Availability Policy, shared across Econometrica, Quantitative Economics, and Theoretical Economics and compatible with DCAS (the Data and Code Availability Standard). Key facts:

  • The Society publishes empirical / experimental / simulation papers only if data and code are clearly documented and non-exclusive to the authors.
  • Before acceptance, authors must provide raw data, code, and documentation sufficient to replicate all results in the paper and approved online appendices.
  • The ES Data Editor process conducts reproducibility checks before final acceptance. Partial-check scope must be documented in the README.
  • Replication / supplementary materials are posted with the article.
  • For long-running or hard-to-access computations, simplified/manageable versions and summary output files are encouraged.
  • Any request for exemption or limits on data/code access must be stated at initial submission and is at editor discretion.

Important: QE uses this centralized ES system and the ES Data Editor Website, NOT the JAE (Journal of Applied Econometrics) Data Archive. Do not prepare a JAE-style deposit.

Building the package

  1. Raw data (or, for restricted data, the access pathway + the code that would run on it) plus all intermediate data-build steps.
  2. Code that runs end to end: one master script (run_all) regenerating every table, figure, and number from raw inputs.
  3. Documentation / README: data sources and licenses, software and exact versions, hardware/run-time notes, the mapping from scripts to exhibits, seeds, and any partial-check scope.
  4. Environment pinning: renv.lock, requirements.txt/conda, Project.toml/Manifest.toml, recorded Stata ssc/net versions.
  5. Heavy computations: include manageable versions and summary output files so the Data Editor can verify without re-running everything.
  6. Experimental/own-data: include instructions/survey transcripts and the pre-registration reference (effective Jan 1, 2026).

Proprietary / restricted data

  • State the exemption or access-limit request at initial submission (not at acceptance).
  • Provide all code even when raw data cannot be shared, plus instructions to obtain access and synthetic or sample data where possible.
  • Document exactly which results the Data Editor can and cannot reproduce, in the README.

Checklist

  • Raw data + full build pipeline included (or restricted-data access path + code)
  • One master script regenerates every result from raw inputs
  • README maps scripts to exhibits; lists sources, versions, seeds, run times
  • Environment pinned across all languages used
  • Heavy computations have manageable versions + summary output files
  • Any exemption / access limit stated at initial submission
  • Partial-check scope documented in the README
  • Built against the ES Data Editor regime (DCAS), not the JAE archive

Anti-patterns

  • Preparing a JAE Data Archive deposit by mistake (QE uses the ES system)
  • Leaving the package until acceptance — the reproducibility check is before acceptance
  • Code that depends on absolute local paths or unpinned package versions
  • Requesting a proprietary-data exemption only at acceptance instead of at submission
  • A README that does not map scripts to the specific tables and figures

Output format

【Regime】ES Data and Code Availability Policy (DCAS) — NOT JAE archive
【Data】raw + build pipeline included? (or restricted-data path + code) [Y/N]
【Master script】regenerates all results from raw? [Y/N]
【README】sources/versions/seeds/script-to-exhibit map? [Y/N]
【Heavy computation】manageable version + summary outputs? [Y/N or N/A]
【Exemption】stated at initial submission? [Y/N or N/A]
【Next step】qe-review-process (pre-acceptance Data Editor check)
Info
Category Data Science
Name qe-replication-and-data-policy
Version v20260724
Size 4.78KB
Updated At 2026-07-29
Language