Honest inference in sharp regression discontinuity designs

CarefulOptim | Split function into k bits and optimize on each bit in case... |

cghs | Oreopoulos (2006) UK general household survey dataset |

CheckClass | check class of object |

CVb | Critical values for CIs based on a biased Gaussian estimator. |

EqKern | Equivalent kernel for local linear regression. |

EqKernN | Compute Equivalent kernel numerically |

FindZero | Find interval containing zero of a function, then find the... |

gss | Modified golden section for unimodal piecewise constant... |

headst | Head Start data from Ludwig and Miller (2007) |

IKBW.fit | Imbens and Kalyanaraman bandwidth |

kernC | Constants for common kernels. |

KernM | M matrix |

KernMoment | Moments of a kernel. |

lee08 | Lee (2008) US House elections dataset |

LPPData | Class Constructor for LPPData |

LPPHonest | Honest inference at a point |

LPPHonest.fit | Honest inference at a point |

LPP_MROT.fit | Rule of thumb for choosing M |

LPPOptBW | Optimal Bandwidth Selection for inference at a point |

LPPOptBW.fit | Optimal bandwidth selection for inference at a point |

LPPPrelimVar | Compute preliminary estimate of variance |

LPPreg | Local Polynomial Regression at a point |

LPReg | Local polynomial regression at a point, normalized to 0 |

plot_RDscatter | Scatterplot of binned raw observations |

Q | Compute inverse modulus squared divided by 4 |

RDData | Class Constructor for RDData |

RDEstimator | Compute optimal estimator based on solution to modulus... |

RDgbC | Solution to inverse modulus problem in RD under Taylor(2)... |

RDHonest | Honest inference in RD |

RDHonestBME | BME method to compute honest CIs in RD designs with discrete... |

RDHonest.fit | Honest inference in RD |

RDLFFunction | Solve modulus problem in RD under second-order Taylor class |

RDlpformula | Formula for local polynomial regression |

RDLPreg | Local Polynomial Regression in Sharp RD |

RD_MROT.fit | Rule of thumb for choosing M |

RDOptBW | Optimal Bandwidth Selection in Regression Discontinuity |

RDOptBW.fit | Optimal bandwidth selection in RD |

RDPrelimVar | Compute preliminary estimate of variance |

RDSmoothnessBound | Lower bound on smoothness constant M in RD designs |

RDTEfficiencyBound | Finite-sample efficiency bounds for minimax CIs |

RDTOpt.fit | Optimal inference in RD under Taylor class |

rebp | Lalive (2008) Unemployment duration dataa |

ROTBW.fit | Rule of thumb bandwidth for inference at a point |

sigmaNN | method assumes X is sorted |

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