原文链接:https://www.lianxh.cn/news/cf6ff86ff7f2d.html

Overview

There are several review articles on RD methodology and empirical practice. This course will discuss, and update as appropriate, topics in Imbens and Lemieux (2008) and Lee and Lemieux (2010). Since these reviews do not cover many of the most recent methodological results available in the literature, we are currently working on an up-to-date review on RD methodology (Cattaneo and Titiunik, 2016), which will be the main focus of this workshop. See also Skovron and Titiunik (2015) for a recent, updated review with particular focus on Political Science.

RDD 分析的 Stata 命令

  • rdrobust: RD inference employing local polynomial and partitioning methods. See Calonico, Cattaneo, and Titiunik (2014a, 2015b) for introductions, and Calonico, Cattaneo, Farrell, and Titiunik (2016b) for the most recent upgrades.

  • rddensity: RD density test for manipulation testing. See Cattaneo, Jansson, and Ma (2016b) for an introduction.

  • rdlocrand: RD inference employing randomization inference methods. See Cattaneo, Titiunik, and Vazquez-Bare (2016b) for an introduction

  • Source:Cattaneo-2018-Handbook

RDD 简明教程 (适于上手操作)

  • Jacob, R., P. Zhu, M. A. Somers, H. Bloom, 2012, A practical guide to regression discontinuity, Mdrc, - PDF -, 模型设定部分的解释非常清晰,基本上没有用复杂的数学公式。

RDD 的适用条件?

  • Schochet, P., Cook, T., Deke, J., Imbens, G., Lockwood, J.R., Porter, J., Smith, J. (2010). Standards for Regression Discontinuity Designs. -PDF-

RDD 文献清单

  • Matias D. Cattaneo - Syllabus - 2016, Short Course in Regression Discontinuity Designs, - PDF -, 给出了一份较为完整的 RDD 参考文献清单。

RDD 相关 Stata 命令的介绍性文档

原文链接:https://www.lianxh.cn/news/cf6ff86ff7f2d.html

Logo

魔乐社区(Modelers.cn) 是一个中立、公益的人工智能社区,提供人工智能工具、模型、数据的托管、展示与应用协同服务,为人工智能开发及爱好者搭建开放的学习交流平台。社区通过理事会方式运作,由全产业链共同建设、共同运营、共同享有,推动国产AI生态繁荣发展。

更多推荐