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README.md
视频集锦:论文精讲与重现 | 实证研究设计 | 空间计量 | 动态面板模型 | 直击面板数据模型-Free
导航: 📍 连享会主页 | 📍 知乎专栏 | 📍 直播课

MHE!MHE! 这是一本写给实证分析前线勇士的书。

Mostly Harmless Econometrics;安格里斯特, 皮施克. 基本无害的计量经济学: 实证研究者指南 / (美) 安格里斯特, (美) 皮施克著 ; 郎金焕, 李井奎译.[M]. 2012.」一书各章的实现过程。

对照一下同样的任务同时用四种不同的软件或语言来写,是学习 Python 和 Stata 的绝佳资料。

书评

“Finally – An econometrics book for practitioners! Not only for students, Mostly Harmless Econometricsis a fantastic resource for anyone who does empirical work.”
— Sandra Black, UCLA

“This is a remarkable book–it does the profession a great service by taking knowledge that is usually acquired over many years and distilling it in such a succinct manner.”
— Amitabh Chandra, Harvard Kennedy School of Government

“MHE is a fantastic book that should be read cover-to-cover by any young applied micro economist. The book provides an excellent mix of statistical detail, econometric intuition and practical instruction. The topic coverage includes the bulk of econometric tools used in the vast majority of applied microeconomics. I wish there was an econometric textbook this well done when I was in graduate school.”
— Bill Evans, University of Notre Dame


Mostly Harmless Replication

Synopsis

A bold attempt to replicate the tables and figures from the book Mostly Harmless Econometrics in the following languages:

  • Stata
  • R
  • Python
  • Julia

Chapters

  1. Questions about Questions
  2. The Experimental Ideal
  3. Making Regression Make Sense
  4. Instrumental Variables in Action
  5. Parallel Worlds
  6. Getting a Little Jumpy
  7. Quantile Regression
  8. Nonstandard Standard Error Issues

Getting started

Check out Getting Started in the Wiki for tips on setting up your machine with each of these languages.

Contributions

Feel free to submit pull requests!

   


连享会-直播平台上线了!大家可以随时随地充电了!
http://lianxh.duanshu.com

推文导航: 📍 连享会主页 | 📍 知乎专栏 | 📍 公众号推文


连享会-直播课


课程特色

  • 深入浅出:掌握最主流的实证分析方法,获取最新重现代码和文档
  • 电子板书:全程电子板书,课后分享;听课更专注,复习更高效。
  • 电子讲义:分享全套电子版课件 (数据、程序和论文),课程中的方法和代码都可以快速移植到自己的论文中。

温馨提示

  • 听课方式: 可以通过手机、iPad、电脑在线观看、学习。附带 6 篇 Top 期刊的 Stata 实现过程,涉及 PSM+DID,RDD 等方法。
  • 课程咨询: 李老师-18636102467(微信同号)
  • 课件: 报名后点击课程主页中的「课程表」查看。

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Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia. spread retract
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