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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.
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Package details |
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| Author | Michal Kolesár [aut, cre, cph] (<https://orcid.org/0000-0002-2482-7796>), Tim Armstrong [ctb] |
| Maintainer | Michal Kolesár <kolesarmi@googlemail.com> |
| License | GPL-3 |
| Version | 1.0.1 |
| URL | https://github.com/kolesarm/RDHonest |
| Package repository | View on CRAN |
| Installation |
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