claude

econ-empirical-skills

采用分层路由的实证经济学 skills 集合。econ-pipeline 记录研究阶段,八个专业 skills 分别处理设计、数据、估计、机制、稳健性、结果诊断、初稿写作和排版。

5 on GitHubby 67666-lsv0.1.1MITupdated 4 months agoacademic
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Plugin econ-empirical-skills from marketplace econ-empirical-skills in 67666-ls/stata-skills-v0.1. Commands read from the repo's manifest — 12 days ago.

What it installs

Skills (9)

  • econ-data

    处理实证经济学项目的数据合并、变量构造、样本筛选、政策时点对齐、缩尾和指标测度,并检查重复值、未匹配记录、缺失传播及其他静默错误。适用于 Stata 或 Python 数据准备,以及 TFP、数字化、新质生产力和耦合指标的构造与核验。

  • econ-design

    审查中文实证经济学研究的研究问题、处理组与对照组、政策时点、识别假设和主要威胁,并判断现有设计是否足以进入数据与估计阶段。适用于选题评估、DID/IV/RD 设计审查、内生性讨论、平行趋势前提和投稿层级可行性分析。

  • econ-did

    设计、实现和诊断 DID、交错 DID 与事件研究估计,包括 TWFE、Callaway--Sant'Anna、Sun--Abraham、stacked DID、LP-DID、HonestDiD 和 SDID。适用于基准回归、动态效应、平行趋势、处理效应异质性及相应 Stata 代码审查。

  • econ-latex

    将中文或英文实证论文初稿整理为 LaTeX,转换回归结果 CSV 或 Stata 导出表,生成 booktabs 三线表,插入图形并诊断编译错误。适用于 ctexart/XeLaTeX、article/pdfLaTeX、esttab 表格和投稿前 PDF 排版核对;所有数字必须来自现有结果文件,输出仅供研究者复核。

  • econ-mechanism

    设计和审查实证论文的机制、异质性与调节效应分析,覆盖 D→M 单方程、系数衰减、传统三步法、因果中介分解、分组回归、三重交互和因果森林。适用于比较不同机制方法、识别处理后坏控制及解释机制证据的边界。

  • econ-pipeline

    组织中文实证经济学项目的研究过程,依次管理研究设计、数据、DID 与识别诊断、结果核对、机制、稳健性、写作和排版,并通过 _pipeline_state.md 保存跨会话进度。适用于从选题开始、继续既有项目、查看论文进度或推进到下一研究阶段;最终文本是供研究者复核的初稿,不作投稿或发表保证。

  • econ-reverse-result

    在回归结果反号、不显著、对设定敏感或与理论机制冲突时,按数据、样本、时点、模型和结果分布开展诊断,并据此判断是识别脆弱、理论预期不适用还是效应具有条件性。适用于假设未获支持和结果复核,不用于追求显著性。

  • econ-robustness

    根据具体识别威胁设计实证论文的稳健性与敏感性分析,包括替换变量和政策时点、调整样本窗口、安慰剂、PSM-DID、熵平衡、聚类推断、Oster 界、交错 DID 稳健估计、排除同期政策、DML 及 IV/RD 替代识别。

  • econ-writing

    起草、重构和润色中文实证经济学论文初稿,包括标题、摘要、引言、文献综述、理论假设、研究设计、实证结果、机制分析和结论,也可处理贡献说明、投稿信及逐条审稿回复。写作以已核实的制度事实、文献和估计结果为限,按目标期刊或用户给定字数控制篇幅,输出仅供研究者复核与学习参考。

View source on GitHub

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