• Corpus ID: 215828583

Noise-Induced Randomization in Regression Discontinuity Designs

  title={Noise-Induced Randomization in Regression Discontinuity Designs},
  author={Dean Eckles and Nikolaos Ignatiadis and Stefan Wager and Han Wu},
  journal={arXiv: Methodology},
Regression discontinuity designs are used to estimate causal effects in settings where treatment is determined by whether an observed running variable crosses a pre-specified threshold. While the resulting sampling design is sometimes described as akin to a locally randomized experiment in a neighborhood of the threshold, standard formal analyses do not make reference to probabilistic treatment assignment and instead identify treatment effects via continuity arguments. Here we propose a new… 

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