技能 数据科学 人力资源期刊投稿评估

人力资源期刊投稿评估

v20260724
journal-of-human-resources
本工具专为应用微观经济学研究人员设计,用于评估其关于劳工、教育、健康和福利领域的实证研究是否适合投稿至《人类资源期刊》(JHR)。它重点分析研究设计的可靠性、识别策略的强度和政策相关性,提供专业化的投稿适用性评估及备选方案。
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概览

Journal of Human Resources (journal-of-human-resources)

Journal positioning

JHR is a leading field journal for applied microeconomics on human capital and well-being — labor, education, health, and welfare/poverty — with a strong taste for microdata and credible, policy-relevant identification. It rewards careful empirical work that answers a question people care about with a research design the reader can trust. The readership is applied micro and labor/education/health economists, so the paper must combine a substantive question with state-of-the-art causal 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 journal/University of Wisconsin Press site and the editorial submission system.

When to trigger

  • The author names JHR as the target venue, or wants a strong applied-micro home for a labor/education/health/welfare paper.
  • A microdata empirical paper has credible identification but is narrower than a top-5 general-interest result.
  • A policy-evaluation paper needs re-framing so the contribution reads as a credible causal estimate with mechanism and policy relevance.
  • The author needs JHR's desk-reject risks and a credible applied-micro alternative list.

Scope & topic fit

  • Labor economics: employment, wages, human capital, family, immigration, discrimination.
  • Education: schooling, returns, interventions, teacher/school effects, early childhood.
  • Health economics and health behaviors, especially with a human-capital or well-being angle.
  • Welfare, poverty, inequality, and the evaluation of social programs and transfers.

Method & evidence bar

  • Identification is central: the design (experiment, quasi-experiment, DiD, IV, RDD) must be credible and the threats pre-empted, not waved away.
  • Microdata and measurement quality matter — sample, variable construction, and selection issues should be handled transparently.
  • Modern estimators and correct inference are baseline: appropriate DiD methods for staggered adoption, defensible instruments, density/covariate evidence for RDD, proper clustering.
  • The contribution should be a credible causal estimate plus mechanism and policy reading, not a significant coefficient alone.

Structure & house style

  • The introduction states the question, the data, the identification strategy, and the headline estimate early, and says why the answer matters for policy or human capital.
  • Position against the relevant applied-micro literature; "no one has estimated X for group Y" is not a contribution without a design or conceptual advance.
  • Uses an unstructured abstract and JEL codes; an online appendix carries robustness, heterogeneity, and data detail.
  • Exhibits should report interpretable magnitudes and clear identification (e.g., event-study plots, balance tables), not only point estimates.

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 "Journal of Human Resources submission guidelines / instructions for authors" and follow the current version.
  • Re-check submission fee, formatting, abstract/JEL requirements, anonymization, and figure/table standards on the submission system.
  • Re-check the current data and code availability / replication policy and any deposit requirement.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • One sentence stating why this labor/education/health/welfare result matters for policy or human capital.
  • The contribution is stated as a credible causal estimate / mechanism, not as statistical significance.
  • The introduction positions the paper against the current applied-micro frontier on this question.
  • Identification threats are addressed by design; estimator and inference choices are state-of-the-art.
  • Data, code, and robustness appendix are ready for the official policy.

Common desk-reject triggers

  • A microdata regression with selection/endogeneity and no credible identification.
  • "First to study X for population Y" with no design or conceptual advance.
  • Outdated methods (naive TWFE on staggered policy, weak IV, cosmetic RDD).
  • Significance reported without magnitude, mechanism, or policy interpretation.

Re-routing decision

  • General-interest at the top → american-economic-review; broad applied micro → the AEA applied outlet or review-of-economics-and-statistics.
  • Labor-core and field-leading → journal-of-labor-economics; health-core → journal-of-health-economics; public/welfare-policy core → journal-of-public-economics.
  • Urban/regional labor markets → journal-of-urban-economics; technically heavier econometric identification → international-economic-review or journal-of-applied-econometrics.

Output format

[Fit] High / Medium / Low (one-line reason)
[Target] Journal of Human Resources
[Topic tags] <2–3 closest topics>
[Method/evidence] <does the identification clear JHR's applied-micro bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <submission system / fee / JEL / data-code policy / exhibits>
[Re-route suggestion] <if not a fit, a better-matched venue>
信息
Category 数据科学
Name journal-of-human-resources
版本 v20260724
大小 5.79KB
更新时间 2026-07-28
语言