transparency-statistical-agencies

Presentation on transparency in academica and NSOs

https://github.com/larsvilhuber/transparency-statistical-agencies

Science Score: 44.0%

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Repository

Presentation on transparency in academica and NSOs

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Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Reproducibility and transparency in academia, and implications for statistical agencies

Author: Lars Vilhuber

License

  • Content available under CC BY-NC 4.0.

Owner

  • Name: Lars Vilhuber
  • Login: larsvilhuber
  • Kind: user
  • Location: Planet Earth
  • Company: Cornell University

Cornell | @AEADataEditor | Census Bureau | Journal Privacy+Confidentiality | J-PAL-IDEA | 🇨🇦🇺🇸🇩🇪

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: >-
  Reproducibility and transparency in academia, and implications for statistical agencies
message: >-
  Presented to ERS November 20, 2024.
type: presentation
authors:
  - given-names: Lars
    family-names: Vilhuber
    email: lars.vilhuber@cornell.edu
    affiliation: Cornell University
    orcid: 'https://orcid.org/0000-0001-5733-8932'
repository-code: >-
  https://github.com/larsvilhuber/transparency-statistical-agencies/
abstract: >-
  I explore practical approaches to issues of transparency and reproducibility in statistical work by academic and governmental groups. Based on the experience from reviewing and approving 1,700 replication packages for publication in economics journals, the lessons learned are mapped into a more general statistical publication process, with special reference to non-public data.
license: CC-BY-NC-4.0
date-released: '2024-11-17'

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Dependencies

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