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E2ER

Skills · Awesome Journal Skills (AJS)

qje-identification

Stress-tests the causal identification strategy (RCT, staggered DID, IV, RDD, event study) against the QJE general-interest bar — including the journal-specific credibility ranking and the "novel dataset answering a first-order question" exception — before tables are drafted.

In the cataloguedesignMIT
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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-identification/SKILL.md
Identifier
awesome-journal-skills/qje-identification

Use it

e2er skills install awesome-journal-skills

The command is on the development branch of E2ER.

Cite this skill
Persistent identifiers planned
@software{brycewangstanfordreapcop2026qjeidentification,
  title   = {qje-identification},
  author  = {Bryce Wang (Stanford REAP / CoPaper.AI)},
  year    = {2026},
  note    = {E2ER skill. Persistent identifier planned},
  url     = {https://github.com/brycewang-stanford/Awesome-Journal-Skills/blob/main/Quarterly-Journal-of-Economics-Skills/skills/qje-identification/SKILL.md}
}
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Used by

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Evaluations

Planned

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Description

Data model
Discipline
Economics
Method family
not specified
Design
not specified
Research stage
Research design
Contributors
Bryce Wang
Usage
not used in published research yet
Source
RISE skill catalogue · awesome-journal-skills · @4c17bae
Record
skill:awesome-journal-skills/qje-identification · JSON

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