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csranks: An R Package for Estimation and Inference Involving Ranks

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  • Denis Chetverikov
  • Magne Mogstad
  • Pawel Morgen
  • Joseph Romano
  • Azeem Shaikh
  • Daniel Wilhelm

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.

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  • Denis Chetverikov & Magne Mogstad & Pawel Morgen & Joseph Romano & Azeem Shaikh & Daniel Wilhelm, 2024. "csranks: An R Package for Estimation and Inference Involving Ranks," Papers 2401.15205, arXiv.org.
    • Handle: RePEc:arx:papers:2401.15205
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    References listed on IDEAS

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    1. Diaa Al Mohamad & Jelle J. Goeman & Erik W. van Zwet, 2022. "Simultaneous confidence intervals for ranks with application to ranking institutions," Biometrics, The International Biometric Society, vol. 78(1), pages 238-247, March.
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