RPME: Stata module to compute Robust Pareto midpoint estimator

Paul von Hippel and Daniel Powers

Statistical Software Components from Boston College Department of Economics

Abstract: rpme implements the robust Pareto midpoint estimator described by von Hippel, Scarpino, and Holas (2014). rpme assumes that the data are "binned" (a.k.a. grouped, bracketed, interval-censored) so that each row reports how many cases have values in the interval (min,max). Binned data are commonly used to summarize the distribution of income or wealth across individuals, households, or families. From the binned data, rpme estimates summary statistics including the mean, median, standard deviation, Gini, Theil, and other inequality statistics. This routine supersedes our earlier bme package.

Language: Stata
Requires: Stata version 12 and egen_inequal from SSC (q.v.)
Keywords: binned data; bracketed data; grouped data; interval censoring; Pareto midpoint estimator (search for similar items in EconPapers)
Date: 2015-02-15, Revised 2019-09-14
Note: This module should be installed from within Stata by typing "ssc install rpme". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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Citations: View citations in EconPapers (1)

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/r/rpme.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/rpme.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/c/county_bins.dta sample data file (application/x-stata)
http://fmwww.bc.edu/repec/bocode/c/county_true.dta sample data file (application/x-stata)

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