2017
DOI: 10.31235/osf.io/z8a62
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Exploring Administrative Records Use for Race and Hispanic Origin Item Non-Response

Abstract: Race and Hispanic origin data are required to produce official statistics in the United States. Data collected through the American Community Survey and decennial census address missing data through traditional imputation methods, often relying on information from neighbors. These methods work well if neighbors share similar characteristics, however, the shape and patterns of neighborhoods in the United States are changing. Administrative records may provide more accurate data compared to traditional imputatio… Show more

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Cited by 8 publications
(8 citation statements)
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“…Because Hispanics have a relatively low response rate to the race question (Rios et al 2014), they were disproportionately excluded. Women have slightly higher response rates than men (Rastogi et al 2014), a difference which is magnified when data sources are linked. Using address when assigning a PIK favors people who move less often, thus reducing the PIK rates for men ages 20 to 50 (Rastogi and O'Hara 2012).…”
Section: Prior Researchmentioning
confidence: 96%
“…Because Hispanics have a relatively low response rate to the race question (Rios et al 2014), they were disproportionately excluded. Women have slightly higher response rates than men (Rastogi et al 2014), a difference which is magnified when data sources are linked. Using address when assigning a PIK favors people who move less often, thus reducing the PIK rates for men ages 20 to 50 (Rastogi and O'Hara 2012).…”
Section: Prior Researchmentioning
confidence: 96%
“…An alternate strategy for gathering information about non-responding households is to use household-provided information gathered in a prior census data or from administrative records (Bhaskar et al 2014;Rastogi et al 2014) when available. This strategy was used in the 2010 Census with prior census data (Rothhaas et al 2012) and is being explored for more extensive use in the 2020 Census (Vitrano and Chapin 2012).…”
Section: Discussionmentioning
confidence: 99%
“…Our sample selection criteria require that gender match across all three data sources. There are more women than men in all subgroups in our data, probably due to gender differences in item non-response rates (c.f., Rastogi et al 2014 about their English ability. We coded this dichotomously as (a) speaks English only, speaks it "very well," or is age 4, or (b) speaks English "well" "not well" or "not at all.…”
Section: Methodsmentioning
confidence: 99%