Testing treatment effect heterogeneity in regression discontinuity designs

@article{Hsu2019TestingTE,
  title={Testing treatment effect heterogeneity in regression discontinuity designs},
  author={Yu‐Chin Hsu and Shu Shen},
  journal={Journal of Econometrics},
  year={2019}
}
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References

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We consider a regression discontinuity (RD) design where the treatment is received if a score is above a cutoff, but the cutoff may vary for each unit in the sample instead of being equal for all…
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Numerous empirical studies employ regression discontinuity designs with multiple cutoffs and heterogeneous treatments. A common practice is to normalize all the cutoffs to zero and estimate one…
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Abstract Regression discontinuity models are commonly used to nonparametrically identify and estimate a local average treatment effect (LATE).We show that the derivative of the treatment effect with…
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Abstract This paper proposes consistent testing methods for examining the effect of a policy treatment on the whole distribution of a response outcome within the setting of a regression discontinuity…
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Quantile Treatment Effects in the Regression Discontinuity Design: Process Results and Gini Coefficient
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