Ier Literature Positioning

Literature Positioning (ier-literature-positioning)

When to trigger

• The intro lists prior work but never says what this paper adds that none of them did
• A coauthor cannot state, in one sentence, the delta over the single closest paper
• The draft reads like a strong field-journal paper and you need the general-interest claim to be legible
• You are unsure how to position against the obvious sibling (Econometrica/QE) so the desk editor sees why it is here, not there

The IER positioning logic

At IER the contribution is almost always methodological or model-level generality, so positioning is not "we study X in a new setting" — it is "the existing tool/result fails or is silent here, and ours is the first that is both correct and general." Build the position in three layers, from frontier down to the load-bearing delta:

1. Frontier statement. Name the 3–6 papers that define the current best answer. For a structural paper, name the canonical model you generalize or discipline; for a method paper, name the incumbent estimator; for theory, name the result you sharpen or overturn.
2. The gap that matters. State precisely what the frontier cannot do — a knife-edge assumption, an estimator that breaks under realistic conditions, a mechanism left unmodeled. The gap must be consequential, not cosmetic.
3. Your delta, made falsifiable. One sentence: "We are the first to [result] under [weaker/realistic condition], which [the frontier] could not." A referee should be able to check the claim.

Drawing the sibling boundaries (this is where IER papers get mis-filed)

Worked example (illustrative)

A structural labor paper positions itself as "the first dynamic model of occupational choice with X." A referee replies that two recent papers already model X. The weak fix adds more citations. The IER fix re-states the delta at the capability level: "prior dynamic models impose stationarity of the choice set; we are the first to allow the choice set to evolve, which is what generates the non-monotone life-cycle pattern in the data." Now the gap is consequential (stationarity was the knife-edge) and the delta is falsifiable (a referee can check whether prior models allowed an evolving choice set). The literature is no longer a list; it is the backdrop against which one capability is shown to be new.

Common positioning failure and its fix

The most frequent IER positioning failure is a "first to study X in setting Y" claim, where Y is just a new dataset or country. That is a field-journal frame. The fix is always the same: convert the setting novelty into a mechanism or method novelty, then name the second reader segment for whom the mechanism (not the setting) is the news. If you cannot make that conversion, the paper is correctly positioned at a field journal, and ier-topic-selection should have caught it.

Positioning by branch (the gap looks different in each)

• Theory: the gap is a result the frontier proves only under a restrictive assumption, or fails to prove at all. Your delta is "we prove it under weaker conditions" or "we show their result reverses when assumption A is relaxed."
• Structural / quantitative: the gap is a mechanism the canonical model omits, or a discipline (untargeted moments, external validity) the frontier never imposed. Your delta is "our model matches moments theirs cannot" — and you show which.
• Econometric method: the gap is a setting where the incumbent estimator is inconsistent, inefficient, or infeasible. Your delta is a head-to-head where yours wins, with finite-sample evidence.
• Applied micro: the gap is a credibility or generality limit in prior designs. Your delta is a cleaner design or a mechanism that travels — not just a new sample.

In every branch the discipline is the same: the gap must be something the frontier could not do, stated so a referee can verify it, and the delta must be the general lesson, not the local finding.