An approach for using administrative records to reduce contacts in the 2020 Decennial Census

Morris, Darcy Steeg; Keller, Andrew; Clark, Brian

doi:10.3233/sji-161002

Cited by 11 publications

(25 citation statements)

References 4 publications

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“…Table 1 shows that about 14.6% of the NRFU cases are identified as AR Occupied and 10.3% are identified as AR Vacant. This is a similar percentage as seen in [2]. Next, we apply the hybrid and adaptive designs.…”

Section: Running the Initial Ar Models And Applying Hybrid And Adaptisupporting

confidence: 72%

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Imputation research for the 2020 Census1

Keller¹

2016

SJI

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Abstract. For the 2010 Census, the count imputation procedure filled in housing unit status and size for the small proportion of addresses (less than one-half percent) where this information was unknown. The small proportion was due in part to an extensive nonresponse followup (NRFU) field operation geared towards resolving addresses so that a status and count were known. For 2020, the Census Bureau is researching two changes to the NRFU field operation to reduce cost. The first is the possible use of administrative records (AR) to provide a status and count for some nonresponding addresses. The second is potentially reducing the number of visits made to nonresponding addresses. Although using AR will help resolve some of the remaining unresolved cases, the proportion of addresses in need of count imputation may be higher in 2020 due to the reduction in NRFU fieldwork. The 2010 count imputation model was developed assuming a small amount of missing data. This research looks at potential count imputation models to handle increased missingness. The paper also articulates the downstream characteristic imputation ramifications from the same missing data challenge.

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Section: Running the Initial Ar Models And Applying Hybrid And Adaptisupporting

confidence: 72%

“…We then apply the fit to the entire 2010 Census NRFU universe. See [2] for more methodological detail on administrative records modeling research for the 2020 Census.…”

Section: Administrative Records Modeling For Nrfumentioning

confidence: 99%

Imputation research for the 2020 Census1

Keller¹

2016

SJI

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“…The predictive models described in Subsections 3.1 and 3.2 to follow are the same as those used in Morris et al (2016). A cursory description of the models is provided here; see Morris et al (2016) for further details. These models estimate various measures of administrative record quality that are subsequently used to rank housing units based on their likelihood of vacancy or their likelihood of correct enumeration for occupied housing units.…”

Section: Models and Methodologymentioning

confidence: 99%

“…We study a direct alternative for the approach described in Morris et al (2016) that was implemented in the 2015 Census Test. Morris et al (2016) use linear programming techniques to combine information from the previously described models to determine AR Vacant and AR Occupied housing units. The optimization approach requires setting multiple threshold parameters that are not straightforward to select and interpret.…”

Section: Identifying Administrative Record Vacant and Occupied Housinmentioning

confidence: 99%

A Distance Metric for Modeling the Quality of Administrative Records for Use in the 2020 U.S. Census

Keller

Mule

Morris

et al. 2018

Journal of Official Statistics

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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.

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“…These design changes have the potential to save the Census Bureau an estimated $1.4 billion [2]. The papers by Keller [16] and Morris et al [17] describe some of the research the Census Bureau has done in this area.…”

Section: Utilizing Administrative Records and Third-party Data For Thmentioning

confidence: 99%

Plans and innovations for the 2020 decennial census of the United States1

Blumerman

Bishop

Dinwiddie

2016

SJI

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Abstract. The purpose of the 2020 Census is to conduct a census of population and housing and disseminate the results to the President, the states, and the American people. The goal of the 2020 Census is to count everyone once, only once, and in the right place, and the challenge is to do this at a lower cost per household than the 2010 Census, while maintaining high quality results. The Census Bureau addressed this challenge first by identifying the major cost drivers of the decennial census. From 2013 through 2015, the Census Bureau conducted research and testing related to major innovations that showed promise of significant cost savings. Across four key innovation areas, the Census Bureau believes it can avoid over $5 billion in costs relative to the cost of repeating the 2010 Census design and operations in 2020. The Census Bureau used the results of the research and testing, other key information, and input from a wide variety of stakeholders to design the 2020 Census. The Census Bureau documented and published its 2020 Census Operational Plan on October 6, 2015, accompanied by revised lifecycle costs estimates and the overall 2020 Census lifecycle budget.

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An approach for using administrative records to reduce contacts in the 2020 Decennial Census

Cited by 11 publications

References 4 publications

Imputation research for the 2020 Census1

Imputation research for the 2020 Census1

A Distance Metric for Modeling the Quality of Administrative Records for Use in the 2020 U.S. Census

Plans and innovations for the 2020 decennial census of the United States1

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