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Use when the marginal contribution of an American Economic Journal: Applied Economics (AEJ: Applied) manuscript is fuzzy or undersold and must be staked precisely against prior applied-micro work. Positions the contribution; it does not fix the identification (aeja-identification) or the prose (aeja-writing-style).
Passed 19 of 23 test cases with the skill, and 9 of 23 without it.
and 17 more in the full report
13 fixed7 passed either way2 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our paper studies charter school lotteries. The closest existing paper by Davis (2019) estimates test score gains but could not track long-term earnings due to sample attrition. Provide the honest delta section for our positioning output.
| Checked | Without skill | With skill |
|---|---|---|
| The honest delta is expressed in a single sentence. | Missed | Passed |
| The response uses the tag 【Honest delta】. | Missed | Passed |
The instructions your model reads when the skill loads.
At AEJ: Applied the contribution is judged as: a credibly identified answer to a question the applied-micro community has not yet settled, positioned against the closest prior work — not the whole field. Editors and referees reward a contribution that is specific, honest, and load-bearing. Name your contribution type, then position only against the papers that threaten it.
| Contribution type | What "new" must mean | Positioning move |
|---|---|---|
| New answer | a magnitude prior work did not credibly estimate | show why prior designs failed to identify it |
| New design / source of variation | a cleaner identification of a known question | contrast your design's assumptions vs. the standard one |
| New setting / population | external validity that changes the lesson | argue why this setting is informative, not just available |
| New mechanism | decomposing a known effect into channels | show the prior literature left the channel ambiguous |
| New measurement | a quantity nobody could measure before | establish the measure's validity, not just its novelty |
test cases passed, vs 9 / 23 without
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