csranks: An R Package for Estimation and Inference Involving Ranks
Econometrics
2024-01-30 v1
Abstract
This article introduces the R package csranks for estimation and inference involving ranks. First, we review methods for the construction of confidence sets for ranks, namely marginal and simultaneous confidence sets as well as confidence sets for the identities of the tau-best. Second, we review methods for estimation and inference in regressions involving ranks. Third, we describe the implementation of these methods in csranks and illustrate their usefulness in two examples: one about the quantification of uncertainty in the PISA ranking of countries and one about the measurement of intergenerational mobility using rank-rank regressions.
Cite
@article{arxiv.2401.15205,
title = {csranks: An R Package for Estimation and Inference Involving Ranks},
author = {Denis Chetverikov and Magne Mogstad and Pawel Morgen and Joseph Romano and Azeem Shaikh and Daniel Wilhelm},
journal= {arXiv preprint arXiv:2401.15205},
year = {2024}
}