Stata:断点回归分析-(RDD)-文献和命令

发布时间:2020-07-04 阅读 263

Stata 连享会   主页 || 视频 || 推文

温馨提示: 定期 清理浏览器缓存,可以获得最佳浏览体验。

课程详情 https://gitee.com/arlionn/Course   |   lianxh.cn

课程主页 https://gitee.com/arlionn/Course

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

参考文献

  • Calonico, S., M. D. Cattaneo, and M. H. Farrell (2016): “On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference,” working paper, University of Michigan.
  • Calonico, S., M. D. Cattaneo, M. H. Farrell, and R. Titiunik (2016a): “Regression Discontinuity Designs Using Covariates,” working paper, University of Michigan.
  • Calonico, S., M. D. Cattaneo, M. H. Farrell, and R. Titiunik (2016b): “rdrobust: Software for Regression Discontinuity Designs,” working paper, University of Michigan.
  • Calonico, S., M. D. Cattaneo, and R. Titiunik (2014a): “Robust Data-Driven Inference in the Regression-Discontinuity Design,” Stata Journal, 14(4), 909–946.
  • Calonico, S., M. D. Cattaneo, and R. Titiunik (2014b): “Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs,” Econometrica, 82(6), 2295–2326.
  • Calonico, S., M. D. Cattaneo, and R. Titiunik (2015a): “Optimal Data-Driven Regression Discontinuity Plots,” Journal of the American Statistical Association, 110(512), 1753–1769.
  • Calonico, S., M. D. Cattaneo, and R. Titiunik (2015b): “rdrobust: An R Package for Robust Nonparametric Inference in RegressionDiscontinuity Designs,” R Journal, 7(1), 38–51.
  • Card, D., D. S. Lee, Z. Pei, and A. Weber (2015): “Inference on Causal Effects in a Generalized Regression Kink Design,” Econometrica, 83(6), 2453–2483.
  • Cattaneo, M. D., N. Idrobo, and R. Titiunik (2018a): A Practical Introduction to Regression Discontinuity Designs: Part I. In preparation for Cambridge Elements: Quantitative and Computational Methods for Social Science, Cambridge University Press. - PDF -
  • Cattaneo, M. D., N. Idrobo, and R. Titiunik (2018b): A Practical Introduction to Regression Discontinuity Designs: Part II. In preparation for Cambridge Elements: Quantitative and Computational Methods for Social Science, Cambridge University Press. - PDF -
  • Cattaneo, M. D., B. Frandsen, and R. Titiunik (2015): “Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate,” Journal of Causal Inference, 3(1), 1–24.
  • Cattaneo, M. D., M. Jansson, and X. Ma (2016a): “Simple Local Regression Distribution Estimators with an Application to Manipulation Testing,” working paper, University of Michigan.
  • Cattaneo, M. D., M. Jansson, and X. Ma (2016b): “rddensity: Manipulation Testing based on Density Discontinuity,” working paper, University of Michigan.
  • Cattaneo, M. D., L. Keele, R. Titiunik, and G. Vazquez-Bare (2016): “Interpreting Regression Discontinuity Designs with Multiple Cutoffs,” Journal of Politics, forthcoming.
  • Cattaneo, M. D., and R. Titiunik (2016): “Regression Discontinuity Designs: A Review of Recent Methodological Developments,” manuscript in preparation, University of Michigan.
  • Cattaneo, M. D., R. Titiunik, and G. Vazquez-Bare (2016a): “Comparing Inference Approaches for RD Designs: A Reexamination of the Effect of Head Start on Child Mortality,” working paper, University of Michigan.
  • Cattaneo, M. D., R. Titiunik, and G. Vazquez-Bare (2016b): “rdlocrand: Inference in Regression Discontinuity Designs under Local Randomization,” Stata Journal, forthcoming.
  • Hahn, J., P. Todd, and W. van der Klaauw (2001): “Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design,” Econometrica, 69(1), 201–209.
  • Imbens, G., and T. Lemieux (2008): “Regression Discontinuity Designs: A Guide to Practice,” Journal of Econometrics, 142(2), 615–635.
  • Imbens, G. W., and K. Kalyanaraman (2012): “Optimal Bandwidth Choice for the Regression Discontinuity Estimator,” Review of Economic Studies, 79(3), 933–959.
  • Keele, L. J., and R. Titiunik (2015): “Geographic Boundaries as Regression Discontinuities,” Political Analysis, 23(1), 127–155.
  • Lee, D. S. (2008): “Randomized Experiments from Non-random Selection in U.S. House Elections,” Journal of Econometrics, 142(2), 675–697.
  • Lee, D. S., and T. Lemieux (2010): “Regression Discontinuity Designs in Economics,” Journal of Economic Literature, 48(2), 281–355.
  • Lee, D. S., and T. Lemieux 2014, Chapter 14: Regression discontinuity designs in social sciences[C], in H. Best,C. Wolf eds, The sage handbook of regression analysis and causal inference. PDF
  • McCrary, J. (2008): “Manipulation of the running variable in the regression discontinuity design: A density test,” Journal of Econometrics, 142(2), 698–714.
  • Porter, J. (2003): “Estimation in the Regression Discontinuity Model,” working paper, University of Wisconsin.
  • Skovron, C., and R. Titiunik (2015): “A Practical Guide to Regression Discontinuity Designs in Political Science, with,” working paper, University of Michigan.
  • Wooldridge, J. (2010): Econometric Analysis of Cross-Section and Panel Data. MIT Press, Cambridge, MA.

相关课程

连享会-直播课 上线了!
http://lianxh.duanshu.com

免费公开课:


课程一览

支持回看,所有课程可以随时购买观看。

专题 嘉宾 直播/回看视频
最新专题 DSGE, 因果推断, 空间计量等
Stata数据清洗 游万海 直播, 2 小时,已上线
研究设计 连玉君 我的特斯拉-实证研究设计-幻灯片-
面板模型 连玉君 动态面板模型-幻灯片-
面板模型 连玉君 直击面板数据模型 [免费公开课,2小时]

Note: 部分课程的资料,PPT 等可以前往 连享会-直播课 主页查看,下载。


关于我们

  • Stata连享会 由中山大学连玉君老师团队创办,定期分享实证分析经验。直播间 有很多视频课程,可以随时观看。
  • 连享会-主页知乎专栏,300+ 推文,实证分析不再抓狂。
  • 公众号推文分类: 计量专题 | 分类推文 | 资源工具。推文分成 内生性 | 空间计量 | 时序面板 | 结果输出 | 交乘调节 五类,主流方法介绍一目了然:DID, RDD, IV, GMM, FE, Probit 等。
  • 公众号关键词搜索/回复 功能已经上线。大家可以在公众号左下角点击键盘图标,输入简要关键词,以便快速呈现历史推文,获取工具软件和数据下载。常见关键词:课程, 直播, 视频, 客服, 模型设定, 研究设计, stata, plus, 绘图, 编程, 面板, 论文重现, 可视化, RDD, DID, PSM, 合成控制法

连享会主页  lianxh.cn
连享会主页 lianxh.cn

连享会小程序:扫一扫,看推文,看视频……

扫码加入连享会微信群,提问交流更方便

✏ 连享会学习群-常见问题解答汇总:
https://gitee.com/arlionn/WD

热门资讯

08/29 专题课程 2429
03/12 计量专题 5153
01/01 工具软件 5523
09/22 专题课程 554
09/21 专题课程 1953
09/21 专题课程 78
09/20 Probit-Logit 57