Panel Data Methods
Panel data (longitudinal data) tracks the same units (individuals, firms, countries) across multiple time periods. The repeated observations allow researchers to control for unobserved time-invariant heterogeneity, which is the central advantage of panel methods over cross-sectional analysis.
Where it sits
left: what it builds on · right: what builds on it · pale: exampleContributed by E2ER contributors
How studies reach it
- No Cash Flows, New Owners: Spot Bitco… → Panel Data Methods
- Mobile money and household savings in… → Panel Data MethodsExample
- Data-sharing mandates and hospital IT… → Panel Data MethodsExample
- Pay transparency laws and the gender … → Panel Data MethodsExample
- Remote work and promotion chances → Panel Data MethodsExample
- Procurement transparency and the numb… → Staggered difference-in-differences (… → Panel Data MethodsExample
and 13 more
Disciplines it reaches
Solid: published studies. Light: examples.
Computed from the records on this site: what each study, template and specialist names as used, which study extends which, and who contributed what. 19 studies in total.
Provenance
- Project
- E2ER bundled skills
- Maintained by
- E2ER contributors
- Licence
- MIT
- Source file
- bhanneke/E2ER-project/blob/orgsci-mvp/skills/files/econometrics/panel-data.md
- Identifier
- e2er/econometrics/panel-data
Use it
Ships with every installation of E2ER.
Used by
Evaluations
PlannedNo evaluation record yet. An evaluation shows where a skill breaks before others rely on it.
Evaluate this skillDescription
Data model- Discipline
- Economics
- Method family
- Empirical (quantitative)
- Design
- Panel fixed effects
- Research stage
- Data analysis
- Contributors
- E2ER contributors (Software, Methodology)
- Usage
- used in 1 template · 1 published study · loaded by 2 specialists · Examples: 1 example template, 9 example studies
- Source
- E2ER repository · skills/files · @3b91f0e
- Record
- skill:e2er/econometrics/panel-data · JSON
Solid tags are declared by the source or mapped from its terms; dashed tags are inferred by a published rule. Hover a tag for its provenance.