Skills · Awesome Journal Skills (AJS)
qje-robustness
Plans and prioritizes the robustness suite and online appendix QJE referees expect, exploiting the journal's no-page-limit norm, without changing the core identification design.
Where it sits
left: what it builds on · right: what builds on it · pale: exampleBy Bryce Wang
How studies reach it
No published study reaches it yet.
Disciplines it reaches
No study reaches it yet.
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 authored what. 0 studies in total.
Provenance
- Project
- Awesome Journal Skills (AJS)
- Maintained by
- Bryce Wang (Stanford REAP / CoPaper.AI)
- Licence
- MIT · can be redistributed
- Source file
- brycewang-stanford/Awesome-Journal-Skills/blob/main/Quarterly-Journal-of-Economics-Skills/skills/qje-robustness/SKILL.md
- Identifier
- awesome-journal-skills/qje-robustness
Use it
e2er skills install awesome-journal-skillsThe command is in e2er 0.10.0 and later.
Used by
No e2er specialist loads this skill by default. Once installed, a template can assign it to a specialist.
Description
Data model- Discipline
- Economics
- Method family
- not specified
- Design
- not specified
- Research stage
- Data analysis
- Authors
- Bryce Wang
- Usage
- not used in published research yet
- Source
- RISE skill catalogue · awesome-journal-skills · @4c17bae
- Record
- skill:awesome-journal-skills/qje-robustness · 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.
More
analysisMIT
Evaluations
PlannedNo evaluation record yet. An evaluation shows where a skill breaks before others rely on it.
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Discussion
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