A Distance Metric for Modeling the Quality of Administrative Records for Use in the 2020 U.S. Census
Autor: | Vincent T. Mule, Darcy Steeg Morris, Andrew D. Keller, Scott Konicki |
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Rok vydání: | 2018 |
Předmět: |
nonresponse followup
media_common.quotation_subject Statistics 05 social sciences Probability and statistics Census 01 natural sciences administrative records HA1-4737 0506 political science 010104 statistics & probability Ranking Simple (abstract algebra) 2020 census 050602 political science & public administration Quality (business) 0101 mathematics media_common |
Zdroj: | Journal of Official Statistics, Vol 34, Iss 3, Pp 599-624 (2018) |
ISSN: | 2001-7367 |
Popis: | The U.S. Census Bureau is conducting research on using administrative records to reduce the cost while maintaining the quality of the 2020 Census Nonresponse Followup (NRFU). Previous census tests have implemented approaches that use predictive models and optimization procedures to identify vacant and occupied housing units using administrative records. This article details a modification to previous approaches, introducing a simple distance metric to define a quality ranking of housing units to enumerate using administrative records. The distance approach is illustrated, assessed, and compared to a previous approach via a retrospective study of the 2010 U.S. Census. |
Databáze: | OpenAIRE |
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