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Description

Statistical Tools for Ranks.

Account for uncertainty when working with ranks. Estimate standard errors consistently in linear regression with ranked variables. Construct confidence sets of various kinds for positions of populations in a ranking based on values of a certain feature and their estimation errors. Theory based on Mogstad, Romano, Shaikh, and Wilhelm (2023)<doi:10.1093/restud/rdad006> and Chetverikov and Wilhelm (2023) <arXiv:2310.15512>.

csranks

R-CMD-check

The R package csranks provides statistical tools for estimation and inference involving ranks (the position in a ranking). Two central functions are csranks for confidence sets for ranks and lmranks for regressions involving ranks, e.g. rank-rank regressions that are popular in applied work in economics.

The functions are based on recent work developing these procedures and their theoretical properties. The confidence sets for ranks are based on Mogstad, Romano, Shaikh, and Wilhelm (2023) and Bazylik, Mogstad, Romano, Shaikh, and Wilhelm (2022). The inference methods for regressions involving ranks are developed in Chetverikov and Wilhelm (2023).

Installation

You can install the released version of csranks from CRAN with:

install.packages("csranks")

You can install the development version of csranks from GitHub with:

# install.packages("remotes")
remotes::install_github("danielwilhelm/R-CS-ranks")

Demo

If you want to play around with the confidence sets for ranks, feel free to try out demo available here.

Here is a sneak peek:

Metadata

Version

1.2.2

License

Unknown

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