Package: RDHonest 1.0.0.9000

RDHonest: Honest Inference in Regression Discontinuity Designs

Honest and nearly-optimal confidence intervals in fuzzy and sharp regression discontinuity designs and for inference at a point based on local linear regression. The implementation is based on Armstrong and Kolesár (2018) <doi:10.3982/ECTA14434>, and Kolesár and Rothe (2018) <doi:10.1257/aer.20160945>. Supports covariates, clustering, and weighting.

Authors:Michal Kolesár [aut, cre, cph], Tim Armstrong [ctb]

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RDHonest.pdf |RDHonest.html
RDHonest/json (API)
NEWS

# Install 'RDHonest' in R:
install.packages('RDHonest', repos = c('https://kolesarm.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/kolesarm/rdhonest/issues

Datasets:
  • cghs - Oreopoulos (2006) UK general household survey dataset
  • headst - Head Start data from Ludwig and Miller
  • lee08 - Lee (2008) US House elections dataset
  • rcp - Battistin, Brugiavini, Rettore, and Weber (2009) retirement consumption puzzle dataset
  • rebp - Austrian unemployment duration data from Lalive

On CRAN:

confidence-intervalsregression-discontinuity-designs

6 exports 53 stars 3.34 score 2 dependencies 18 scripts 134 downloads

Last updated 30 days agofrom:7391e9148c. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 19 2024
R-4.5-winOKAug 19 2024
R-4.5-linuxOKAug 19 2024
R-4.4-winOKAug 19 2024
R-4.4-macOKAug 19 2024
R-4.3-winOKAug 19 2024
R-4.3-macOKAug 19 2024

Exports:CVbRDHonestRDHonestBMERDScatterRDSmoothnessBoundRDTEfficiencyBound

Dependencies:Formulawithr

Honest inference in Regression Discontinuity Designs

Rendered fromRDHonest.Rmdusingknitr::rmarkdownon Aug 19 2024.

Last update: 2024-05-07
Started: 2019-04-13