rd2dnet is built on rd2d. Please cite the rd2d papers and this package:
Winship Z (2026). rd2dnet: Boundary Discontinuity Designs on Networks. R package version 0.1.0, https://github.com/zwinship/rd2dnet.
Cattaneo M, Titiunik R, Yu R (2026). “rd2d: Causal Inference in Boundary Discontinuity Designs.” Working paper, https://arxiv.org/abs/2505.07989.
Cattaneo M, Titiunik R, Yu R (2026). “Estimation and Inference in Boundary Discontinuity Designs: Distance-Based Methods.” Journal of Econometrics, 256(A), 106266.
Cattaneo M, Titiunik R, Yu R (2026). “Estimation and Inference in Boundary Discontinuity Designs: Location-Based Methods.” Journal of the American Statistical Association, revise and resubmit.
Cattaneo M, Jansson M, Ma X (2020). “Simple Local Polynomial Density Estimators.” Journal of the American Statistical Association, 115(531), 1449–1455. doi:10.1080/01621459.2019.1635480.
Corresponding BibTeX entries:
@Manual{,
title = {{rd2dnet}: Boundary Discontinuity Designs on Networks},
author = {Zach Winship},
year = {2026},
note = {R package version 0.1.0},
url = {https://github.com/zwinship/rd2dnet},
}
@Misc{,
title = {{rd2d}: Causal Inference in Boundary Discontinuity
Designs},
author = {Matias D. Cattaneo and Rocío Titiunik and Ruiqi Rae Yu},
year = {2026},
note = {Working paper},
url = {https://arxiv.org/abs/2505.07989},
}
@Article{,
title = {Estimation and Inference in Boundary Discontinuity
Designs: Distance-Based Methods},
author = {Matias D. Cattaneo and Rocío Titiunik and Ruiqi Rae Yu},
journal = {Journal of Econometrics},
year = {2026},
volume = {256},
number = {A},
pages = {106266},
}
@Unpublished{,
title = {Estimation and Inference in Boundary Discontinuity
Designs: Location-Based Methods},
author = {Matias D. Cattaneo and Rocío Titiunik and Ruiqi Rae Yu},
year = {2026},
note = {Journal of the American Statistical Association, revise and
resubmit},
}
@Article{,
title = {Simple Local Polynomial Density Estimators},
author = {Matias D. Cattaneo and Michael Jansson and Xinwei Ma},
journal = {Journal of the American Statistical Association},
year = {2020},
volume = {115},
number = {531},
pages = {1449--1455},
doi = {10.1080/01621459.2019.1635480},
}