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Data Cleaning Best Practices for Economics Research

Clean data is the foundation of credible empirical work. This guide covers systematic approaches to data cleaning for economic datasets, with emphasis on panel data, survey data, and administrative records commonly used in applied economics.

In the cataloguedataMIT
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Provenance

Project
E2ER bundled skills
Maintained by
E2ER contributors
Licence
MIT
Source file
bhanneke/E2ER-project/blob/orgsci-mvp/skills/files/data/cleaning.md
Identifier
e2er/data/cleaning

Use it

Ships with every installation of E2ER.

Cite this skill
Persistent identifiers planned
@software{e2ercontributors2026datacleaningbestpractice,
  title   = {Data Cleaning Best Practices for Economics Research},
  author  = {E2ER contributors},
  year    = {2026},
  note    = {E2ER skill. Persistent identifier planned},
  url     = {https://github.com/bhanneke/E2ER-project/blob/orgsci-mvp/skills/files/data/cleaning.md}
}
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Description

Data model
Discipline
Economics
Method family
not specified
Design
not specified
Research stage
Data acquisition
Contributors
E2ER contributors (Software, Methodology)
Usage
used in 2 templates · 1 published study · loaded by 4 specialists · Examples: 3 example studies
Source
E2ER repository · skills/files · @3b91f0e
Record
skill:e2er/data/cleaning · JSON

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