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Suggested Citation:"References." National Research Council. 2011. The Future of Federal Household Surveys: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/13174.
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References

Battese, G.E., R.M. Harter, and W.A. Fuller. (1988). An error components model for prediction of county crop areas using survey and satellite data. Journal of the American Statistical Association, 83, 28-36.

Bell, B. (2010). Combining Survey, Census, and Administrative Records Data in Small Area Models. Presentation for the Workshop on the Future of Federal Household Surveys, November 4-5, National Research Council, Washington, DC.

Bollinger, C.R., and B.T. Hirsch. (2006). Match bias from earnings imputation in the Current Population Survey: The case of imperfect matching. Journal of Labor Economics, 24, 483-519.

Dillman, D. (2010). New Data Collection Modes and the Challenge of Making Them Effective. Presentation for the Workshop on the Future of Federal Household Surveys, November 4-5, National Research Council, Washington, DC.

Dillman, D.A., J.D. Smyth, and L.M. Christian. (2009). Internet, Mail, and Mixed-Mode Surveys: The Tailored Design Method. Hoboken, NJ: John Wiley & Sons.

Fay, R.E., and R.A. Herriot. (1979). Estimates of income for small places: An application of James-Stein procedures to census data. Journal of the American Statistical Association, 74, 269-277.

Ghosh, M., and J.N.K. Rao. (1994). Small area estimation: An appraisal. Statistical Science, 9 (1), 55-93.

Gonzales, M.E., and C. Hoza. (1978). Small area estimation with application to unemployment and housing estimates. Journal of the American Statistical Association, 73, 7-15.

Gonzalez, M., and J. Waksberg. (1973). Estimation of the Error of Synthetic Estimates. Paper presented to the International Association of Survey Statisticians, Vienna, Austria.

Hansen, M.H., W.N. Hurwitz, and W.G. Madow. (1953). Sample Survey Methods and Theory (volumes I and II). New York: John Wiley & Sons.

Levy, P.S., and D.K. French. (1977). Synthetic estimation of state health characteristics based on the Health Interview Survey. Vital and Health Statistics, 2(75). Available: http://www.eric.ed.gov/PDFS/ED156715.pdf [May 2011].

Little, R. (2006). Calibrated Bayes: A Bayes/frequentist roadmap. American Statistician, 60(3), 213-223.

Suggested Citation:"References." National Research Council. 2011. The Future of Federal Household Surveys: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/13174.
×

National Research Council. (1995). Measuring Poverty: A New Approach. Panel on Poverty and Family Assistance: Concepts, Information Needs, and Measurement Methods, C.F. Citro and R.T. Michael, editors. Committee on National Statistics. Commission on Behavioral and Social Sciences and Education. Washington, DC: National Academy Press.

National Research Council. (2000). Small-Area Estimates of School-Age Children in Poverty: Evaluation of Current Methodology. Panel on Estimates of Poverty for Small Geographic Areas, C.F. Citro and G. Kalton, editors. Committee on National Statistics. Commission on Behavioral and Social Sciences and Education. Washington, DC: National Academy Press.

Nelson, C. (2010). Different Measures for Different Purposes: The Cases of Income and Poverty Measures. Presentation for the Workshop on the Future of Federal Household Surveys, November 4-5, National Research Council, Washington, DC.

Neyman, J. (1934). On the two aspects of the representative method: The method of stratified sampling and the method of purposive selection. Journal of the Royal Statistical Society, A(97), 558-625.

Office for National Statistics. (2010). Integrated Household Survey User Guide. Available: http://www.statistics.gov.uk/downloads/theme_social/IHS/ihs-guide-complete.pdf [May 2011].

Platek, R., J.N.K. Rao, C.E. Särndal, and M.P. Singh, Editors. (1987). Small Area Statistics: An International Symposium. New York: John Wiley & Sons.

Purcell, N.J., and L. Kish. (1980). Postcensal estimates for local areas (small domains). International Statistical Review, 48, 3-18.

Raghunathan, T. (2010). Role of Statistical Models in Federal Surveys: Small Area Estimation. Presentation for the Workshop on the Future of Federal Household Surveys, November 4-5, National Research Council, Washington, DC.

Rao, J.N.K. (2003). Small Area Estimation. New York: John Wiley & Sons.

Särndal, C.E., and M.A. Hidiroglou. (1989). Small domain estimation: A conditional analysis. Journal of the American Statistical Association, 84, 266-275.

Särndal, C.E., B. Swensson, and J. Wretman (1992). Model-Assisted Survey Sampling. New York: Springer-Verlag.

Schaible, W.L., editor. (1996). Indirect Estimators in U.S. Federal Programs. New York: Springer-Verlag.

Schenker, N., and T.E. Raghunathan. (2007). Combining information from multiple surveys to enhance estimation of measures of health. Statistics in Medicine, 26, 1802-1811.

Schenker, N., J.F. Gentleman, D. Rose, E. Hing, and I.M. Shimizu. (2002). Combining estimates from complementary surveys: A case study using prevalence estimates from national health surveys of households and nursing homes. Public Health Reports, 117, 393-407.

Schenker, N., T.E. Raghunathan, and I. Bondarenko. (2010). Improving on analyses of self-reported data in a large-scale health survey by using information from an examination-based survey. Statistics in Medicine, 29(5), 533-545.

Smith, P. (2009). Survey harmonisation in official household surveys in the United Kingdom. International Statistical Institute Invited Paper Proceedings. Durban, South Africa. Available: http://www.statssa.gov.za/isi2009/ScientificProgramme/IPMS/0238.pdf [April 2011].

Tambay, J.-L. (2010). Statistics Canada’s Household Survey Strategy. Presentation for the Workshop on the Future of Federal Household Surveys, November 4-5, National Research Council, Washington, DC.

U.S. Census Bureau. (2010). American Community Survey Questionnaire. Washington, DC: Author. Available: http://www.census.gov/acs/www/Downloads/questionnaires/2010/Quest10. pdf [April 2011].

Suggested Citation:"References." National Research Council. 2011. The Future of Federal Household Surveys: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/13174.
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Page 97
Suggested Citation:"References." National Research Council. 2011. The Future of Federal Household Surveys: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/13174.
×
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Federal household surveys today face several significant challenges including: increasing costs of data collection, declining response rates, perceptions of increasing response burden, inadequate timeliness of estimates, discrepant estimates of key indicators, inefficient and considerable duplication of some survey content, and instances of gaps in needed research and analysis. The Workshop on the Future of Federal Household Surveys, held at the request of the U.S. Census Bureau, was designed to address the increasing concern among many members of the federal statistical system that federal household data collections in their current form are unsustainable. The workshop brought together leaders in the statistical community to discuss opportunities for enhancing the relevance, quality, and cost-effectiveness of household surveys sponsored by the federal statistical system.

The Future of Federal Household Surveys is a factual summary of the presentations and related discussions that transpired during the workshop. This summary includes a number of solutions that range from methodological approaches, such as the use of administrative data, to emphasis on interagency cooperative efforts.

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