Patterns and causes of uncertainty in the American Community Survey

Applied Geography

Volumn 46, Issue , 2014, Pages 147-157

  Spielman, Seth E ^a   Folch, David ^a   Nagle, Nicholas ^b  

^a UNIVERSITY OF COLORADO   (United States)

^b UNIVERSITY OF TENNESSEE   (United States)

Author keywords

American Community Survey; Census tract; Margin of error; Small area estimation; Uncertainty

Indexed keywords

CENSUS; DATA QUALITY; DEMOGRAPHIC SURVEY; ERROR ANALYSIS; POPULATION ESTIMATION; PRECISION; UNCERTAINTY ANALYSIS;

UNITED STATES;

EID: 84890150312     PISSN: 01436228     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apgeog.2013.11.002     Document Type: Review

References (39)

1. Alexander C.H. Acontinuous measurement alternative for the US census. Proceedings of the American Statistical Association Survey research methods section 1993, 486-491.
2. Alexander C.H. Still rolling: Leslie Kish's "rolling samples" and the American Community Survey. Survey Methodology 2002, 28(1):35-42.
3. Anderson M.J., Citro C., Salvo J.J. Encyclopedia of the US census: From the constitution to the American Community Survey 2011, CQ Press.
4. Bates L., Hartman J. American Community Survey research and evaluation report memorandum series #ACS12-RER-03: Research on master address file quality - Implications for the American Community Survey February 3, 2012, United States Department of Commerce.
5. Using the American Community Survey: Benefits and challenges 2007, National Academy Press. C.F. Citro, G. Kalton (Eds.).
6. Environmental Systems Research Institute(ESRI) The American Community Survey: An ESRI white paper 2011, Last Accessed 01.02.13. http://www.esri.com/library/whitepapers/pdfs/the-american-community-survey.pdf.
7. Farrell C.R., Lee B.A. Racial diversity and change in metropolitan neighborhoods. Social Science Research 2011, 40(4):1108-1123.
8. Fay R.E., Train G.F. Aspects of survey and model-based postcensal estimation of income and poverty characteristics for states and counties. Proceedings of the government statistics section 1995, 154-159. American Statistical Association.
9. Freedman D., Pisani R., Purves R. Statistics 2007, W.W. Norton & Company. 4th ed.
10. Fuller W.A. Sampling statistics 2011, Wiley.
11. General Accounting Office 2010 Census: Efforts to build an accurate address list are making progress, but face software and other challenges 2009, Report # GAO-10-140T.
12. Ghosh M., Rao J.N.K. Small area estimation: an appraisal. Statistical Science 1994, 9(1):55-76.
13. Harris R., Sleight P., Webber R. Geodemographics, GIS and neighbourhood targeting 2005, Wiley.
14. Judkins D.R. Fay's method for variance estimation. Journal of Official Statistics 1990, 6(3):223-239.
15. Kish L. Rolling samples and censuses. Survey Methodology 1990, 16(1):63-79.
16. Kish L. Combining multipopulation statistics. Journal of Statistical Planning and Inference 2002, 102(1):109-118.
17. Little R.J. Calibrated Bayes: an alternative inferential paradigm for official statistics. Journal of Official Statistics 2012, 28(3):309-372.
18. MacDonald H. The American community survey: warmer (more current), but fuzzier (less precise) than the decennial census. Journal of the American Planning Association 2006, 72(4):491-503.
19. Martin D. Optimizing census geography: the separation of collection and output geographies. International Journal of Geographical Information Science 1998, 12(7):673-685.
20. Martin D. Towards the geographies of the 2001 UK census of population. Transactions of the Institute of British Geographers 2001, 25(3):321-332.
21. Matthews B., Davis M., Tancreto J., Zelenak M.F., Ruiter M. 2011 American Community Survey Internet tests: Results from second test in November 2011. American Community Survey Research and Evaluation Program. #ACS12-RER-21, May 14, 2012 2012.
22. Nagle N.N., Buttenfield B.P., Leyk S., Spielman S.E. Dasymetric modeling and uncertainty. Annals of the Association of American Geographers 2013, (ahead-of-print).
23. Navarro F. An introduction to ACS statistical methods and lessons learned. Measuring people in place conference, Boulder, CO 2012, Last Accessed 30.12.12. http://www.colorado.edu/ibs/cupc/workshops/measuring_people_in_place/themes/theme1/asiala.pdf.
24. New York Times New York's Doomsday book, or demonography April 1, 1923.
25. Openshaw S., Rao L. Algorithms for reengineering 1991 census geography. Environment and Planning A 1995, 27(3):425-446.
26. Rao J.N.K. Small area estimation 2003, Vol. 327. Wiley-Interscience.
27. Singleton A., Spielman S.E. The past, present and future of geodemographic research in the United States and United Kingdom. Professional Geographer 2013, (ahead-of-print).
28. Spielman S.E., Logan J. Using high resolution population data to identify neighborhoods and determine their boundaries. Annals of the Association of American Geographers 2013, 103(1):67-94.
29. Starsinic M. American Community Survey: improving reliability for small area estimates. Proceedings of the 2005 joint statistical meetings on CD-ROM 2005, 3592-3599.
30. Starsinic M., Tersine A. Analysis of variance estimates from American Community Survey multiyear estimates. Proceedings of the section on survey researchmethods 2007, 3011-3017. American Statistical Association, Alexandria, VA.
31. Swanson D.A., McKibben J.N. New directions in the development of population estimates in the United States?. Population Research and Policy Review 2010, 29(6):797-818.
32. United States Census Bureau The American Community Survey: Coverage rates data 2013, Last Accessed 05.02.13. http://www.census.gov/acs/www/methodology/coverage_rates_data/.
33. United States Census Bureau The American Community Survey: Item allocation rates data 2013, Last Accessed 05.02.13. http://www.census.gov/acs/www/methodology/item_allocation_rates_data/.
34. United States Census Bureau The American Community Survey: Item allocation rates data 2013, Last Accessed 05.02.13. http://www.census.gov/acs/www/methodology/sample_size_data/.
35. U.S.Census Bureau Design and methodology. American Community Survey 2009, U.S. Government Printing Office, Washington, DC.
36. U.S.Census Bureau U.S. Census Bureau, a compass for understanding and using American Community Survey data: What researchers need to know U.S 2009, Government Printing Office, Washington, DC.
37. Vickers D., Rees P. Creating the national statistics 2001 output area classification. Journal of the Royal Statistical Society, Series A 2007, 170(2).
38. Wolter K.M. An investigation of some estimators of variance for systematic sampling. Journal of the American Statistical Association 1984, 79(388):781-790.
39. Wright J.K. Amethod of mapping densities of population: with Cape Cod as an example. Geographical Review 1936, 26(1):103-110.