Review Of Economics And Statistics

Review of Economics and Statistics (review-of-economics-and-statistics)

Journal positioning

REStat (Harvard/MIT, MIT Press) is a leading outlet for applied econometrics and empirical economics, with a long tradition in careful identification and measurement. It publishes sharply executed empirical papers across fields — often shorter and more focused than top-5 omnibus papers — where a clean design, careful measurement, or a useful applied-econometric contribution carries the work. The contribution is credible empirical evidence done well; the bar is high on identification and execution rather than on discipline-wide general interest.

This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current official submission guidelines. Before submitting, re-check the live author instructions on the REStat / MIT Press site and the editorial submission system.

When to trigger

• The author names REStat as the target, or has a focused empirical paper that is excellent but narrower than a top-5 swing.
• A paper's strength is careful identification or measurement rather than a discipline-wide general-interest hook.
• A solid applied-econometrics or empirical paper needs a venue that rewards clean execution and a sharp, contained contribution.
• The author needs REStat's desk-reject risks and a credible top-5 / applied-field alternative list.

Scope & topic fit

• Applied empirical economics across fields — labor, public, development, health, IO, macro-empirical, trade — with credible identification.
• Careful measurement papers: new data, better estimates of an important quantity, or improved measurement of an economic object.
• Applied-econometric contributions: methods and estimators motivated by and demonstrated on a real empirical problem.
• Focused, sharply executed papers; REStat is comfortable with shorter, contained contributions that make one empirical point well.

Method & evidence bar

• Identification and measurement are the filter: the design (DiD, IV, RDD, event study, structural) must be credible and the measurement careful and transparent.
• Modern estimators and inference are baseline — proper DiD under staggered treatment, valid first stages, RDD diagnostics, correct standard errors.
• Robustness should be thorough but disciplined; the empirical point must survive the obvious alternative explanations.
• Data and code transparency is expected; re-check the current replication and data/code availability policy, which is enforced for empirical work.

Structure & house style

• The introduction states the empirical question, the identification or measurement contribution, the headline estimate, and what it adds to the evidence.
• Lead with the design and the clean estimate; keep the paper focused — REStat rewards a contained, well-argued contribution over a sprawling one.
• REStat uses an unstructured abstract and JEL codes; robustness and supplementary results belong in an online appendix.
• Exhibits should report magnitudes and let the central estimate be read from one table or figure.

Official-submission checklist

• Before giving submission-ready advice, read ../../resources/source-basis.md and ../../resources/official-source-map.md; start from the official source anchors for this journal family, then cite the current journal-specific page you checked.
• Search the live site for "Review of Economics and Statistics submission guidelines" / "information for authors" and follow the current MIT Press / editorial version.
• Re-check the submission fee, formatting, abstract/JEL, anonymization, length expectations (including any short-paper format), and figure/table standards on the submission system.
• Re-check the current data and code availability / replication policy and any verification workflow — confirm it is enforced before acceptance.
• If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

• One sentence stating the empirical question and why the identification or measurement is credible.
• The contribution is stated as identification / measurement / applied method, not as statistical significance.
• The introduction positions the paper against the recent applied frontier on this question.
• Identification threats are addressed by design; estimators and inference are state-of-the-art; the paper is focused.
• Data and code are ready for the current availability / replication policy.

Common desk-reject triggers

• A correlational or weakly-identified design presented as causal.
• Naive TWFE on staggered adoption, weak IV, or RDD without density/covariate diagnostics.
• A sprawling, unfocused paper where the central empirical point is buried.
• "First to study X in context Y" with no design, measurement, or methodological advance.

Re-routing decision

• General-interest empirical importance → american-economic-review, quarterly-journal-of-economics, or journal-of-political-economy; one crisp result → aer-insights.
• Applied-micro design as the headline → aej-applied-economics; policy-relevant magnitudes → aej-economic-policy.
• Empirical macro / quantitative macro → aej-macroeconomics; a genuine new estimator with full theory → econometrica or journal-of-econometrics.
• Field-leading specialist work → the relevant top field journal (journal-of-labor-economics, journal-of-public-economics, journal-of-health-economics).

Output format

[Fit] High / Medium / Low (one-line reason)
[Target] Review of Economics and Statistics
[Topic tags] <2–3 closest topics>
[Method/evidence] <does the identification / measurement clear the applied-econometrics bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <submission system / fee / JEL / length format / data-code policy>
[Re-route suggestion] <if not a fit, a better-matched venue>

Source: brycewang-stanford/Awesome-Journal-Skills → English-SocialScience-Journal-Skills/skills/review-of-economics-and-statistics/SKILL.md