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Suggested Citation:"References." National Research Council. 2010. Measuring the Group Quarters Population in the American Community Survey: Interim Report. Washington, DC: The National Academies Press. doi: 10.17226/13075.
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References

Asiala, M.E. (2010). Weighting and Estimation: Challenges and Limitations. Presentation prepared for the Panel on Measuring the Group Quarters Population in the American Community Survey. Washington, DC: U.S. Census Bureau.

Goldenkoff, R. (2010). Operational Changes Made for 2010 Position the U.S. Census Bureau to More Accurately Classify and Identify Group Quarters. Testimony before the Subcommittee on Information Policy, Census, and National Archives, Committee on Oversight and Government Reform, House of Representatives. U.S. Government Accountability Office, Washington, DC. Available: http://www.gao.gov/new.items/d10452t.pdf.

Keathley, D., A. Navarro, and M. Asiala. (2010). An Analysis of Alternate Variance Estimation Methods for the American Community Survey Group Quarters Sample. Paper prepared for the Joint Statistical Meetings, Vancouver. Washington, DC: U.S. Census Bureau.

National Research Council. (2000). Small-Area Income and Poverty Estimates: Priorities for 2000 and Beyond. Panel of Estimates of Poverty for Small Geographic Areas. C.F. Citro and G. Kalton, Eds. Committee on National Statistics. Division of Behavioral and Social Sciences and Education, Washington, DC: National Academy Press.

National Research Council. (2004). The 2000 Census: Counting Under Adversity. Panel to Review the 2000 Census. C.F. Citro, D.L. Cork and J.L. Norwood, Eds. Committee on National Statistics. Division of Behavioral and Social Sciences and Education, Washington, DC: National Academy Press.

National Research Council. (2007). Using the American Community Survey: Benefits and Challenges. Panel on the Functionality and Usability of Data From the American Community Survey. C.F. Citro and G. Kalton, Eds. Committee on National Statistics. Division of Behavioral and Social Sciences and Education, Washington, DC: National Academy Press.

Pfeffermann, D., and R.R. Tiller. (2006). Small-area estimation with state–space models subject to benchmark constraints. Journal of the American Statistical Association, 101, 1387-1397.

Sommers, D., and S.P. Hefter (2010). Evaluation of the Effect on Cost and Variances of the Group Quarter Cluster Size. Paper prepared for the Joint Statistical Meetings, Vancouver. Washington, DC: U.S. Census Bureau.

U.S. Census Bureau. (2008a). 2008 American Community Survey/Puerto Rico Community Survey Group Quarters Definitions. U.S. Department of Commerce, Washington, DC. Available: http://www.census.gov/acs/www/Downloads/2008_ACS_GQ_Definitions.pdf.

U.S. Census Bureau. (2008b). Methodology for the Subcounty Total Resident Population Estimates (Vintage 2008): April 1, 2000 to July 1, 2008. U.S. Department of Commerce,

Suggested Citation:"References." National Research Council. 2010. Measuring the Group Quarters Population in the American Community Survey: Interim Report. Washington, DC: The National Academies Press. doi: 10.17226/13075.
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Washington, DC. Available: http://www.census.gov/popest/topics/methodology/2008-stcometh.pdf.

U.S. Census Bureau. (2009). Design and Methodology: American Community Survey. Washington, DC: U.S. Department of Commerce.

Williams, A.L. (2010). Evaluation of the Quality of the 2006-2008 ACS Group Quarters Sampling Frame. Draft memorandum to S. Schechter from D. Whitford. U.S. Census Bureau, U.S. Department of Commerce, Washington, DC.

Suggested Citation:"References." National Research Council. 2010. Measuring the Group Quarters Population in the American Community Survey: Interim Report. Washington, DC: The National Academies Press. doi: 10.17226/13075.
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Page 28
Suggested Citation:"References." National Research Council. 2010. Measuring the Group Quarters Population in the American Community Survey: Interim Report. Washington, DC: The National Academies Press. doi: 10.17226/13075.
×
Page 29
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Following several years of testing and evaluation, the American Community Survey (ACS) was launched in 2005 as a replacement for the census "long form," used to collect detailed social, economic, and housing data from a sample of the U.S. population as part of the decennial census. During the first year of the ACS implementation, the Census Bureau collected data only from households. In 2006 a sample of group quarters (GQs) -- such as correctional facilities, nursing homes, and college dorms -- was added to more closely mirror the design of the census long-form sample.

The design of the ACS relies on monthly samples that are cumulated to produce multiyear estimates based on 1, 3, and 5 years of data. The data published by the Census Bureau for a geographic area depend on the area's size. The multiyear averaging approach enables the Census Bureau to produce estimates that are intended to be robust enough to release for small areas, such as the smallest governmental units and census block groups. However, the sparseness of the GQ representation in the monthly samples affects the quality of the estimates in many small areas that have large GQ populations relative to the total population. The Census Bureau asked the National Research Council to review and evaluate the statistical methods used for measuring the GQ population.

This book presents recommendations addressing improvements in the sample design, sample allocation, weighting, and estimation procedures to assist the Census Bureau's work in the very near term, while further research is conducted to address the underlying question of the relative importance and costs of the GQ data collection in the context of the overall ACS design.

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