Primary Sampling Unit Stratification for the Current Population Survey 2020 Sample Redesign
Abstract Number:
2355
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Paper
Participants:
Brian Shaffer (1), Yarissa Gonzalez (2), Timothy Trudell (1)
Institutions:
(1) N/A, N/A, (2) US Census Bureau, N/A
Co-Author(s):
First Author:
Presenting Author:
Abstract Text:
The Current Population Survey (CPS) uses a two-stage sample design, in which a group of counties called primary sampling units (PSUs) are selected in the first stage and housing units from those selected counties are selected in the second stage. After every decennial census, the CPS redesigns its sample to make it more relevant to the current decade. PSUs are classified as either self-representing (SR) or non-self-representing (NSR). SR PSUs are included in sample with certainty while NSR PSUs are clustered into strata with one PSU sampled per stratum. In this redesign, we sought a NSR PSU stratification to improve variance of auxiliary measures of childhood poverty and American Indian and Alaska Native (AIAN) people with minimal impact to PSU workload variance and unemployment variance. This talk describes the process and some summary results.
Keywords:
Sample Design|Stratification| | | |
Sponsors:
Survey Research Methods Section
Tracks:
Sample Design
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