Guides economics researchers through the full Journal of Applied Econometrics manuscript lifecycle: assess topic fit, enforce the 35-page limit and 100-word citation-free summary, build reproducible Stata/R/Python analysis pipelines, assemble the mandatory JAE Data Archive deposit, navigate single-blind peer review, draft rebuttals, and run the pre-submission preflight via Editorial Express.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Use when framing the headline contribution of a Journal of Applied Econometrics (JAE) manuscript — as an empirical application on real data whose results are replicable, rather than a pure-theory advance. Calibrates claims to what the data and design support and compresses into the 100-word summary.
Use when running estimation and inference for a Journal of Applied Econometrics (JAE) manuscript so the analysis is reproducible and archive-ready — every table/figure regeneratable from plain-text data and programs you will deposit in the JAE Data Archive. Covers robust inference, master-script discipline, Monte Carlo evidence, and the archive's plain-ASCII/CSV format rule.
Use when designing or defending the empirical identification of a Journal of Applied Econometrics (JAE) manuscript — a credible strategy applied to real data, with assumptions stated, tested, and reproducible. Covers time-series, panel, IV, and quasi-experimental designs typical of applied econometrics, tying every claim to depositable evidence.
Use when positioning a Journal of Applied Econometrics (JAE) manuscript against prior work — applied-econometrics precedent, the methods you apply, and JAE's own corpus and Data Archive of replicable papers. Frames the gap as an application/replication advance under JAE's citation-style-agnostic Free Format.
Use when drafting the response letter for a Journal of Applied Econometrics (JAE) revise-and-resubmit — replying to single-blind anonymous referees and the Editor-in-Chief on applied-econometrics objections (identification on real data, inference, robustness) while keeping the JAE Data Archive package in sync with every revised result.
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横跨经管社科 · 人文社科 · 自然科学 · 临床医学 · AI 计算机等多个主流学科,为每一本期刊 / 每一个会议单独编码它的投稿工作流。
🧭 布局指南 · 📚 Skill Pack 一览 · ⚡ 如何使用 · 🗺 路线图 · 🌐 English
先看期刊,再进 Pack。点击任意封面即可进入对应的期刊 Skill 包。
🆕 四个最新学科广度合集 —— 工程技术 40 · 农业环境 30 · 临床医学 30 · 英文人文 36;点击封面进入合集页。
其他合集 · 中文体育学 · 12 本 CSSCI 体育学来源刊
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Sign in to claimnpx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin jape-skillsAI-first computer-science conference skill stack: 155 conference fit-and-submission profiles plus a CS/AI router. Covers top AI/ML, data mining, vision, NLP, robotics, HCI, systems, security, software engineering, programming languages, databases, and theory venues, with current-cycle CFP and author-kit re-check discipline.
Agent skill stack for submitting to 《经济研究》 (Economic Research Journal), the top economics journal in China. Eighteen skills across the manuscript lifecycle: China-context topic selection, introduction, bilingual literature review, theory & hypotheses, data & sample, modern causal identification (DID / IV / RDD / DML with heterogeneity-robust estimators), mechanism analysis (post-江艇 2022 paradigm), heterogeneity, robustness, three-line tables, policy implications, abstract, house style, reviewer-lens self-audit, reproducibility, submission preflight, and R&R rebuttals. Ships a runnable Stata + Python code library. Bilingual zh-CN / en docs.
Agent skill stack for articles and proposals targeted at the Journal of Economic Perspectives (JEP) — the open-access, non-technical synthesis journal of the American Economic Association, founded 1987, sister to the Journal of Economic Literature (technical surveys of record) and the AER/AEJ research journals. JEP is largely invited and organized in symposia, and rewards accessible writing readable by 90 percent of AEA members, not new identification or replication. Twelve role skills cover the JEP lifecycle: workflow routing, topic selection for a broad audience, the 2–5 page proposal and symposium pitch ([email protected]), narrative arc for a general economist reader, plain-language translation of technical results, presenting evidence with minimal equations, exhibits a non-specialist can read, the JEP voice, balance and objectivity over advocacy, working with the managing-editor-led editorial team, the pre-submission preflight, and revising for accessibility and balance. Bilingual en / zh-CN docs.
Agent skill stack for submitting to 《会计研究》 (Accounting Research) — the flagship journal of the Accounting Society of China and the only accounting title among CSSCI sources (monthly, founded 1980, ISSN 1003-2886, CN 11-1078/F). Built around the journal's defining bar: archival capital-market empirics with accurate institutional / standard-setting detail and an information mechanism, distinguished from generic corporate finance. Covers fit positioning, topic selection, literature review, institutional/standards background, accounting measurement (discretionary accruals, conservatism, disclosure indices), quasi-experimental identification, information mechanism, robustness, tables/figures, standard-setter/regulator implications, submission preflight, and R&R rebuttals.
Agent skill stack for manuscripts targeted at the Journal of Financial and Quantitative Analysis (JFQA) — empirical and quantitative financial economics (corporate finance, investments, capital and security markets, financial institutions, and finance-relevant quantitative methods), published by Cambridge University Press for the Michael G. Foster School of Business at the University of Washington. Built around the JFQA realities: submission via Editorial Manager with a text-searchable PDF, a $350 fee (only $275 refunded if not sent to a reviewer), double-anonymous review, a strict one-paragraph / 100-word abstract cap, prescriptive 8.5x11 / 1-inch / 12-pt Times New Roman double-spaced formatting, a one-year resubmission ban for undisclosed prior rejections, and the JFQA Code Sharing Policy with a dedicated JFQA Dataverse at the Harvard Dataverse. Covers topic fit, literature positioning, causal/identification design for finance, robustness, tables and figures, house style, the code/data archive, referee strategy, submission preflight, and R&R rebuttals. Bilingual en / zh-CN docs; Stata / R / Python conventions.
Agent skill stack for manuscripts targeted at the Journal of Econometrics (JoE) — an Elsevier methodological-econometrics journal (founded 1973) for substantive contributions to identification, estimation, testing, decision, and prediction problems in economic research, plus applications of econometric techniques. Co-Editors-in-Chief Michael Jansson (UC Berkeley) and Aureo de Paula (UCL). Reflects JoE-specific realities: self-hosted Editorial Express portal, a USD $75 nonrefundable submission fee with mandatory proof-of-payment upload, PDF-only single-file submission of roughly 40 pages at 1.5 spacing / 11pt, a 250-word abstract, single-anonymized review by a minimum of two referees, the elsarticle LaTeX class and [dataset] data-citation style, and three submission tracks (Regular, Annals, Themed Issues). Covers methodological topic selection, literature positioning, regularity conditions / asymptotics / Monte Carlo design, theorem-and-proof exposition, table and figure conventions, contribution framing, replication-and-data norms, house writing style, referee strategy, submission preflight, and revision rebuttals. Bilingual en / zh-CN docs; Stata / R / Python / MATLAB conventions.
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