RDHonest
computes estimates and confidence intervals for the
regression discontinuity (RD) parameter in sharp and fuzzy designs. It
supports covariates, clustering, and weighting. Confidence intervals are
honest (or bias-aware), with critical values computed using the CVb
function. Worst-case bias of the estimator is computed under either the Taylor
or Hölder smoothness class.RDHonestBME
computes confidence intervals in sharp RD designs with discrete
covariates under the assumption assumption that the conditional mean lies in
the "bounded misspecification error" class of functions, as considered in
Kolesár and Rothe (2018).RDScatter
RDSmoothnessBound
computes a lower bound on the smoothness
constant M
, used as a parameter by RDHonest
to calculate the worst-case
bias of the estimatorRDTEfficiencyBound
calculates efficiency of minimax one-sided
CIs at constant functions, or efficiency of two-sided fixed-length CIs at
constant functions under second-order Taylor smoothness class.Add the following code to your website.
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