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brycewang-stanford/Awesome-Journal-Skills - 41ページ

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brycewang-stanford/Awesome-Journal-Skills

収集済み skill 3,969 件中 40 件を表示しています。

職業分類
その他の高等教育教員
説明

Use when building or auditing the quantitative analysis behind a Review of Economic Dynamics (RED) manuscript — calibration, moment-matching, structural estimation, and numerical-solution discipline for dynamic models, plus reproducible-computation hygiene…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Use when making the inferential backbone of a Review of Economic Dynamics (RED) manuscript credible, adapting to the paper type. For theoretical/computational papers it covers model assumptions, regularity conditions, and what disciplines the parameters; for…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Use when designing the exhibits of a Review of Economic Dynamics (RED) manuscript — impulse-response functions, calibration tables, moment-matching (model-vs-data) tables, policy-experiment figures, and accuracy diagnostics — so a quantitative dynamic paper…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Use when selecting, implementing, or stress-testing the causal identification strategy for an empirical The Review of Economic Studies (REStud) manuscript — DID (incl. staggered), IV (incl. weak-IV-robust inference), RDD, synthetic control, shift-share, or…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Use when the main results of a The Review of Economic Studies (REStud) manuscript exist but referee-anticipating checks — robustness, heterogeneity, mechanism, placebo, alternative specifications — are missing or fragile. Hardens the result against demanding…

原文の言語: 英語

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職業分類
編集者
説明

Use when the exhibits in a The Review of Economic Studies (REStud) manuscript need to be made publication-grade — regression tables that are oversized or footnote-bloated, or figures that do not carry the result. Finalizes exhibits to REStud house standard;…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Use when the causal-identification or measurement strategy is the bottleneck for a The Review of Economics and Statistics (REStat) manuscript — a DID / RD / IV / shift-share design, or a measurement / measurement-error problem. Stress-tests the design to…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Use when the headline estimate of a The Review of Economics and Statistics (REStat) manuscript needs to survive specification, sample, measurement, and inference choices before submission. Builds the robustness suite that REStat referees expect; it does not…

原文の言語: 英語

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職業分類
編集者
説明

Use when building or revising the exhibits of a The Review of Economics and Statistics (REStat) manuscript so the main result is legible in one table or figure in AEA/REStat house style. Designs publication-grade exhibits; it does not run the underlying…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Use when auditing Review of Finance empirical or theoretical analysis: sample construction, identification, asset-pricing tests, corporate-finance variables, robustness, code reproducibility, and evidence that can satisfy top-three-finance-journal standards.

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Use when the credibility core of a Review of Finance (RoF) manuscript is the bottleneck — causal identification for empirical finance (DID, IV, RDD, event study, natural experiments) OR assumptions, results, and proof exposition for theoretical finance.…

原文の言語: 英語

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職業分類
編集者
説明

Use when designing Review of Finance tables and figures under the 60-page total cap, including empirical-finance exhibits, theory figures, robustness tables, data-description tables, and replication-friendly notes.

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Use when sample construction, estimator choice, factor/portfolio design, or measurement is the bottleneck for a The Review of Financial Studies (RFS) manuscript. Settles design choices that make the identification credible; does NOT pick the identification…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Use when the causal-inference or asset-pricing identification strategy is the bottleneck for a The Review of Financial Studies (RFS) manuscript — quasi-experiments (DID, IV, RDD, event study) and factor-model identification. Stress-tests the design before…

原文の言語: 英語

更新
職業分類
その他の高等教育教員
説明

Use when results may be fragile or when multiple-testing / out-of-sample discipline is the bottleneck for a The Review of Financial Studies (RFS) manuscript. Builds the robustness battery referees will demand; does NOT design identification or write the…

原文の言語: 英語

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職業分類
編集者
説明

Use when main-paper exhibits are the bottleneck for a The Review of Financial Studies (RFS) manuscript — table layout, standard-error reporting, and publication-grade figures. Finalizes exhibits; does NOT decide robustness content or move material to the…

原文の言語: 英語

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職業分類
社会学者
説明

Use for the quantitative path in 《社会学研究》 (Sociological Studies) — analyzing survey data (CGSS/CFPS/CLDS) with regression / Logit / multilevel / event-history (survival) / sequence analysis, and interpreting results as a sociological mechanism rather than…

原文の言語: 中国語

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職業分類
データサイエンティスト
説明

Use when designing or auditing The Econometrics Journal (EctJ) Monte Carlo simulations, empirical applications, estimator comparisons, robustness checks, computation, seeds, and applied-value evidence.

原文の言語: 英語

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職業分類
データサイエンティスト
説明

Use when stress-testing identification, assumptions, asymptotics, regularity conditions, and proofs in a The Econometrics Journal (EctJ) submission, including proof placement under RES printed-appendix rules and pairing every asymptotic claim with…

原文の言語: 英語

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職業分類
編集者
説明

Use when compressing The Econometrics Journal (EctJ) tables, figures, Monte Carlo displays, empirical-application exhibits, theorem summaries, and appendix references under a roughly 20-page printed-paper constraint.

原文の言語: 英語

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職業分類
データサイエンティスト
説明

Use when the empirical identification strategy is the bottleneck for a The Economic Journal (EJ) manuscript — quasi-experimental designs (DID, IV, RDD, event study) or structural estimation. Stress-tests the design and its economic interpretation before…

原文の言語: 英語

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職業分類
データサイエンティスト
説明

Use when the main result of a The Economic Journal (EJ) manuscript rests on a single specification and you need to pre-empt the alternative-explanation and fragility objections a demanding referee will raise. Builds the robustness battery and the…

原文の言語: 英語

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職業分類
編集者
説明

Use when finalizing the main exhibits (tables and figures) of a The Economic Journal (EJ) manuscript so each one carries economic content, reads to a general audience, and is self-contained. Sets exhibit design and notes standards; it does not decide which…

原文の言語: 英語

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職業分類
データサイエンティスト
説明

Use when the causal identification argument is the bottleneck for a The World Bank Economic Review (WBER) manuscript — RCT/program evaluation, DiD/event study around a reform, regression discontinuity, or IV in a developing-country setting. Stress-tests the…

原文の言語: 英語

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職業分類
データサイエンティスト
説明

Use when results for a The World Bank Economic Review (WBER) manuscript may be sensitive to specification, sample, measurement, or inference choices — and you need a threat-organized robustness plan rather than an appendix dump. Organizes checks by…

原文の言語: 英語

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職業分類
編集者
説明

Use when building the exhibits for a The World Bank Economic Review (WBER) manuscript so they read cleanly for a mixed economist + policymaker audience, fit the 40-page cap, and carry the policy magnitude. Designs and audits tables/figures; it does not run…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Use when the inference logic is the bottleneck for a World Development (WD) manuscript — credible causal design for quantitative work, or a transparent inferential logic for qualitative and mixed-methods work. Stress-tests the strategy to WD's pluralist bar…

原文の言語: 英語

更新
職業分類
その他の高等教育教員
説明

Use when results may be sensitive — to specification, sample, measurement, or inference for quantitative work, or to interpretation and triangulation for qualitative work — in a World Development (WD) manuscript. Organizes checks by threat; it does not invent…

原文の言語: 英語

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職業分類
編集者
説明

Use when exhibits in a World Development (WD) manuscript are dense, asterisk-laden, or fail a multidisciplinary reader — including maps and qualitative displays. Makes every exhibit answer a development question; it does not invent evidence or citations.

原文の言語: 英語

更新
職業分類
その他の高等教育教員
説明

Use when planning or reporting the analysis for an American Educational Research Journal (AERJ) manuscript — multilevel/HLM and growth models, IRT/measurement, quasi-experimental estimation, or qualitative coding and thematic analysis. Analysis must meet the…

原文の言語: 英語

更新
職業分類
その他の高等教育教員
説明

Use when defending the research design of an American Educational Research Journal (AERJ) manuscript — quantitative (multilevel, IRT, quasi-experimental, RCT), qualitative (case study, ethnography, interview), or mixed methods. AERJ judges each tradition on…

原文の言語: 英語

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職業分類
編集者
説明

Use when building tables and figures for an American Educational Research Journal (AERJ) manuscript. Exhibits must be self-contained, accessible, and formatted to APA 7th edition, and they must be anonymized for masked review. Improves exhibits; it does not…

原文の言語: 英語

更新
職業分類
その他の高等教育教員
説明

Use when executing and reporting the analysis for an American Journal of Political Science (AJPS) manuscript. AJPS will have a third-party verifier re-run your exact code against the numerical results in the main text before publication, so analyze…

原文の言語: 英語

更新
職業分類
その他の高等教育教員
説明

Use when defending the research design of an American Journal of Political Science (AJPS) manuscript — causal identification for observational work, experimental and survey-experimental design, formal-empirical linkage, or case-based inference. AJPS reviewers…

原文の言語: 英語

更新
職業分類
編集者
説明

Use when building tables and figures for an American Journal of Political Science (AJPS) manuscript. AJPS counts table/figure headers and notes toward the word limit, and the deposited code must regenerate every exhibit exactly for third-party verification.…

原文の言語: 英語

更新
職業分類
その他の高等教育教員
説明

Use when planning or auditing the analysis of an American Journal of Sociology (AJS) manuscript so the evidence credibly supports the theoretical claim. Covers analysis norms, uncertainty, robustness, and triangulation across quantitative,…

原文の言語: 英語

更新
職業分類
その他の高等教育教員
説明

Use when defending the research design of an American Journal of Sociology (AJS) manuscript on its own methodological terms — quantitative, comparative-historical, ethnographic, network, or formal. AJS judges each kind of work by the standards of its…

原文の言語: 英語

更新
職業分類
その他の高等教育教員
説明

Use when building tables and figures for an American Journal of Sociology (AJS) manuscript to AJS house conventions — discrete consecutive numbering, appendix-table lettering, separate exhibit sections after the text, and mandatory alt text for every figure…

原文の言語: 英語

更新
職業分類
その他の高等教育教員
説明

Use when executing and reporting the analysis for an American Political Science Review (APSR) manuscript so it survives expert, double-anonymous review — honest uncertainty, robustness, and triangulation appropriate to quantitative, experimental, or…

原文の言語: 英語

更新
職業分類
その他の高等教育教員
説明

Use when defending the research design of an American Political Science Review (APSR) manuscript — causal identification for quantitative work, case selection and process tracing for qualitative work, experimental and survey-experimental design, or…

原文の言語: 英語

更新
収集済み skill 3,969 件中 40 件を表示しています。