ectj-literature-positioning

EctJ Literature Positioning

Use this to make the novelty legible to econometricians and applied users. At EctJ,

positioning is differentiation, not a survey: the journal rewards a leading-case,

path-breaking contribution under a hard limit of about 20 pages including the printed

appendix, so a sprawling related-work section is both off-fit and a budget leak. Place the

paper at a precise seam in the methodological frontier and show that seam matters in

applications.

Positioning checks

• Identify the closest econometric object: estimator, test, identifying restriction,

asymptotic regime, design, inference problem, or computational procedure.

• Separate the paper from exhaustive-method papers: EctJ can reward a sharp leading case,

but the leading case must be economically useful.

• Cite adjacent statistics or ML work when the method overlaps, but explain what the

econometric setting adds.

• Tie theory references to assumptions that the paper weakens, changes, or makes empirically

usable.

• Explain the empirical-application literature only enough to show applied value.

Positioning compression

Use a two-layer related-work structure:

• Frontier layer: the two or three econometric papers closest in object and proof strategy. State the

exact delta: weaker assumption, different asymptotic regime, new computational route, sharper finite-sample

diagnostic, or applied implementation.

• Use layer: the applied or adjacent-statistics literature that would use the method. Keep this short:

it exists to prove applied value, not to become a field survey.

Avoid a broad "methods survey" paragraph. EctJ's page discipline means every citation should either define

the incumbent method or prove why the leading case matters.

Citation placement rule

Place each citation where it changes the reader's belief:

• In the introduction, cite only the incumbent method, the nearest unresolved limitation, and the applied

use case that makes the method worth publishing.

• In the theory section, cite papers that justify assumptions, asymptotic regimes, or proof strategies.
• In the simulation section, cite designs that explain the benchmark data-generating processes or

competitor procedures.

• In the application section, cite field papers only to explain why the empirical setting is a useful

diagnostic for the econometric contribution.

If a citation cannot be assigned to one of those jobs, move it to a short related-work paragraph or cut it.

This keeps EctJ positioning sharp enough to survive the page constraint while still showing command of the

econometric frontier.

Reading the EctJ frontier before claiming a seam

The journal sits in the close intellectual orbit of the UK econometrics community, including

cemmap and its working-paper series, so the relevant frontier often lives in recent working papers

rather than published volumes. Before fixing the delta:

• Sweep recent EctJ issues and the cemmap working-paper series for the same econometric object;

a published-only sweep at this venue routinely misses the actual nearest neighbor.

• Check whether the nearest neighbor is an identification result, an estimator, or an inference

procedure; the delta sentence must compare like with like.

• If the closest work is in statistics or ML, add the econometric translation: which economic

parameter, sampling frame, or policy question changes the problem.

Worked delta statement

Vignette with illustrative content: a paper proposing inference for synthetic-control estimates

with several treated units might write the frontier layer as: "Paper A gives conformal inference

for one treated unit; Paper B gives asymptotics as both panel dimensions grow; we give a

permutation-based test valid with three to ten treated units and short panels, the range covering

most published applications." One sentence, three named deltas, an applied range — that is the

positioning density the compact EctJ format rewards. If the delta needs a paragraph of caveats,

the seam is wrong, not the writing.

Output format

[Nearest literatures] <econometrics/statistics/ML/application>
[Closest 3 papers] <paper -> difference>
[Leading-case contrast] <why this is not a routine extension>
[Applied-value bridge] <where users benefit>
[Missing citations] <must add before submission>