A Practical Introduction to Regression Discontinuity Designs: Extensions
A Practical Introduction to Regression Discontinuity Designs: Extensions
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不连续性回归设计的实用介绍：扩展
DOI：
10.1017/9781009441896
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
R. Titiunik
中科院分区：
文献类型：
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作者：
M. D. Cattaneo;N. Idrobo;R. Titiunik
这本专著，连同其附带的第一部分Cattaneo， Idrobo和Titiunik(2020)，收集并扩展了我们为2014年至2023年间教授的回归不连续（RD）方法的超过50美元的短期课程和研讨会准备的教学材料。在第二本专著中，我们讨论了研发方法论中的几个主题，这些主题建立在Cattaneo， Idrobo和Titiunik（2020）中介绍的研发设计分析的基础上并进行了扩展。我们的第一个目标是提出一个基于局部随机化思想的替代RD概念框架。这种方法方法在具有离散值分数的RD设计中很有用，也可以更广泛地用于其他环境中作为基于连续性的方法的补充。然后，采用基于连续性和局部随机化的方法，我们在多个方向上扩展了典型的Sharp RD设计：模糊RD设计、离散分数RD设计和多维RD设计。我们的两部分专著的目标是有意实用，因此我们专注于研发设计的实证分析。
This monograph, together with its accompanying first part Cattaneo, Idrobo and Titiunik (2020), collects and expands the instructional materials we prepared for more than $50$ short courses and workshops on Regression Discontinuity (RD) methodology that we taught between 2014 and 2023. In this second monograph, we discuss several topics in RD methodology that build on and extend the analysis of RD designs introduced in Cattaneo, Idrobo and Titiunik (2020). Our first goal is to present an alternative RD conceptual framework based on local randomization ideas. This methodological approach can be useful in RD designs with discretely-valued scores, and can also be used more broadly as a complement to the continuity-based approach in other settings. Then, employing both continuity-based and local randomization approaches, we extend the canonical Sharp RD design in multiple directions: fuzzy RD designs, RD designs with discrete scores, and multi-dimensional RD designs. The goal of our two-part monograph is purposely practical and hence we focus on the empirical analysis of RD designs.