Skills Data Science Quantitative Economics Venue Targeting

Quantitative Economics Venue Targeting

v20260724
quantitative-economics
This skill helps authors assess the suitability of their structural, computational, or econometric manuscript for top-tier quantitative economics journals. It guides authors on meeting the high bar for model rigor, identification transparency, and computational evidence required for publication in this field, acting as a comprehensive fit and re-framing tool.
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Overview

Quantitative Economics (quantitative-economics)

Journal positioning

Quantitative Economics is an Econometric Society open-access journal devoted to quantitative economics that combines structural and computational modeling with data. It publishes both methodological contributions and quantitatively rigorous applied work — the common thread is taking models seriously enough to confront them with data through estimation, calibration, or computation. What wins here is a paper where the economic model and the quantitative implementation are both first-rate. The readership is structural and quantitative economists across micro and macro who care about model-based inference.

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 Econometric Society / journal site and the submission system.

When to trigger

  • The author names QE as the target venue.
  • A structural / computational paper has a serious model-meets-data contribution and the author is choosing among quantitative venues.
  • A reduced-form or theory paper has a strong quantitative-modeling extension that needs re-framing toward QE's strengths.
  • The author needs QE's desk-reject risks and a credible quantitative / econometrics alternative list.

Scope & topic fit

  • Structural estimation and quantitative modeling across micro and macro: dynamic models, heterogeneous agents, IO, labor, public, trade, macro.
  • Computational and numerical methods for solving and estimating economic models.
  • Econometric methods oriented toward structural / model-based inference and identification.
  • Quantitatively rigorous applied work where the model carries the contribution, not only the reduced-form result.

Method & evidence bar

  • The model and its quantitative implementation must both be rigorous: clear economic structure, credible identification of structural parameters, and sound estimation / calibration / computation.
  • Identification of the structural model should be transparent — what in the data pins down the parameters.
  • Numerical methods and computational choices must be documented and defensible; results should be robust to reasonable alternatives.
  • As an Econometric Society journal, the standard for technical correctness and transparency is high; replication code is part of the package.

Structure & house style

  • The introduction should state the economic question, the model, the identification, and what the quantitative exercise delivers (counterfactuals, decompositions, estimates).
  • Frame the contribution as a model-based advance — methodological, or an applied result that only a structural approach could deliver.
  • Use an abstract and JEL codes; relegate derivations, computational detail, and robustness to a supplement / appendix.
  • As an open-access journal, follow the current Econometric Society formatting; supplementary material and replication packages are expected.

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 "Quantitative Economics submission guidelines / Econometric Society instructions for authors" and follow the current version.
  • Re-check word/figure limits, abstract and JEL requirements, reference and math style, anonymization expectations, and any open-access / article-processing arrangements.
  • Re-check the current replication / data and code archive policy (Econometric Society replication requirements).
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • One sentence stating what the quantitative / structural approach delivers that reduced-form work could not.
  • The contribution is stated as model + identification + quantitative result, not as a significant coefficient.
  • Identification of the structural parameters is transparent and defensible.
  • Computational methods, robustness, and replication materials meet Econometric Society standards.
  • Open-access / formatting and the replication archive requirements are satisfied.

Common desk-reject triggers

  • A reduced-form paper with no genuine structural / quantitative-modeling contribution.
  • A structural model with opaque or hand-waved identification of its parameters.
  • Undocumented computational choices or results that are not robust.
  • A pure-theory paper with no quantitative implementation, or applied work where the model is decorative.

Re-routing decision

  • Pure econometric theory / estimators with proofs → econometric-theory or the-econometrics-journal; applied-econometrics methods → journal-of-econometrics.
  • General-interest structural work with broad ambition → american-economic-review; macro-structural → aej-macroeconomics or journal-of-monetary-economics.
  • Theory-only contributions → journal-of-economic-theory; behavioral/experimental → journal-of-economic-behavior-and-organization.

Output format

[Fit] High / Medium / Low (one-line reason)
[Target] Quantitative Economics
[Topic tags] <2–3 closest topics>
[Method/evidence] <do the model and quantitative implementation clear this venue's bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <submission system / JEL / open-access / replication archive / computation docs>
[Re-route suggestion] <if not a fit, a better-matched venue>
Info
Category Data Science
Name quantitative-economics
Version v20260724
Size 5.89KB
Updated At 2026-07-29
Language