pums_subset

This is a 5% random sample of the 2023 subset of the American Community Survey (ACS) Public Use Microdata Sample (PUMS)

datasets

Provides multigroup Kitagawa-Blinder-Oaxaca ('mKBO') decompositions, that allow for more than two groups. Each group is compared to the sample average. For more details see Thaning and Nieuwenhuis (2025) <doi:10.31235/osf.io/6twvj_v1>.

Rense Nieuwenhuis

mKBO

Multi-Group Kitagawa-Blinder-Oaxaca Decomposition

Max Thaning

pums_subset function

## `pums_subset`
A data frame with 71,919 rows and 7 columns:<dl>
 <dt>PERNP</dt>
<dd>Annual Earnings of a person.</dd> <dt>RACE</dt>
<dd>Race, in 9 categories: "Alaska Native", "American Indian","Asian","Black","Mixed", "Pacific", "Tribe Specific", "White", and "Other"</dd> <dt>BACHELOR</dt>
<dd>Binary indicator of whether an individuals has a Bachelor's degree of higher.</dd> <dt>AGEP</dt>
<dd>Age.</dd> <dt>PWGTP</dt>
<dd>Person weight.</dd> ...</dl>

Format

American Community Survey (ACS) Public Use Microdata Sample (PUMS) — pums_subset

## `pums_subset`
A data frame with 71,919 rows and 7 columns:<dl>
 <dt>PERNP</dt>
<dd>Annual Earnings of a person.</dd>

 <dt>RACE</dt>
<dd>Race, in 9 categories: "Alaska Native", "American Indian","Asian","Black","Mixed", "Pacific", "Tribe Specific", "White", and "Other"</dd>

 <dt>BACHELOR</dt>
<dd>Binary indicator of whether an individuals has a Bachelor's degree of higher.</dd>

 <dt>AGEP</dt>
<dd>Age.</dd>

 <dt>PWGTP</dt>
<dd>Person weight.</dd>

 ...

</dl>

pums_subset: American Community Survey (ACS) Public Use Microdata Sample (PUMS)

Description

Usage

Arguments

Format