Measuring uncertainty in population data generated by the cohort-component method: A report on research in progress

Applied Demography in the 21st Century: Selected Papers from the Biennial Conference on Applied Demography, San Antonio, Texas, January 7-9, 2007

Volumn , Issue , 2008, Pages 165-189

  Swanson, David A ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 78650921180     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4020-8329-7_10     Document Type: Chapter

References (74)

1. Alho, J. (1984). Probabilistic Forecasts: The Case of Population Projections. Scandinavian Housing and Planning Research 1: 99-105.
2. Alho, J. and B. Spencer (1985). Uncertain Population Forecasting. Journal of the American Statistical Association 80(390): 306-314.
3. Alho, J. and B. Spencer (1990). Error Models for Official Mortality Forecasts. Journal of the American Statistical Association 85(411): 609-616.
4. Alho, J. and B. Spencer (2005). Statistical Demography and Forecasting. Dordrecht, the Netherlands: Springer.
5. Cheeseman-Day, J. (1992). Population Projections of the United States, by Age, Sex, Race, and Hispanic Origin: 1992-2050. Current Population Reports P25-1092. Washington, DC: U.S. Bureau of The Census.
6. Cochran, W. (1977). Sampling Techniques (3rd Edition). New York: Wiley.
7. Cohen, J. (1986). Population Forecasts and Confidence Intervals for Sweden: A Comparison of Model-Based and Empirical Approaches. Demography 23(1): 105-123.
8. DAllesandro, F. and J. Tayman (1981). Ridge Regression for Population Estimation: Some Insights and Clarification. Paper presented at the Annual Meeting of the Population Association of America, Washington, DC.
9. De Gans, H. (1999). Population Forecasting 1895-1945: The Transition to Modernity. Dordrecht, the Netherlands: Kluwer Academic Publishers.
10. Espenshade, T. and J. Tayman (1982). Confidence Intervals for Postcensal Population Estimates. Demography 19(2): 191-210.
11. Fay, R. and R. Herriot (1979). Estimates of Income for Small Places: An Application of James-Stein Procedures to Census Data. Journal of the American Statistical Association 70 (June): 311-319.
12. George, M.V., S. Smith, D. Swanson, and J. Tayman (2004). Population Projections, pp. 561-601 in J. Siegel and D. Swanson (Eds.), The Methods and Materials of Demography, 2nd edition. New York: Elsevier.
13. Harville, D. and D. Jeske (1992). Mean Squared Error of Estimation or Prediction under a General Linear Model. Journal of the American Statistical Association 87 (September): 724-731.
14. Hoerl, A. and R. Kennard (1970). Ridge Regression: Biased Estimation for Nonorthogonal Problems. Technometrics 12 (February): 55-67.
15. Hogan, H. (1993). The Post-Enumeration Survey: Operations and Results. Journal of the American Statistical Association 88(423): 1047-1060.
16. Keyfitz, N. (1972). On Future Population. Journal of the American Statistical Association 67: 347-363.
17. Keyfitz, N. (1987). The Social and Political Context of Population Forecasting, pp. 235-258 in W. Alonso and P. Starr (Eds.), The Politics of Numbers. New York: Russell Sage Foundation.
18. Kintner, H. and D. Swanson (1990). Confidence Intervals for the Projection of Closed Populations: A Case Study of General Motors' Salaried Retirees. GM Research Laboratories Publication GMR-7124. Warren, MI: GM Research Laboratories.
19. Kintner, H. and D. Swanson (1993a). Toward Measuring Uncertainty in Estimates of Net Migration. Canadian Studies in Population 20: 153-191.
20. Kintner, H. and D. Swanson (1993b). Measurement Errors in Census Counts and Estimates of Intercensal Net Migration. Journal of Economic and Social Measurement 19(2): 97-120.
21. Kish, L. (1965). Survey Sampling. New York: Wiley.
22. Land, K. (1986). Methods for National Population Forecasts: A Review. Journal of the American Statistical Association 81: 888-901.
23. Lee, R. and L.S. Tuljapurkar (1994). Stochastic Population Projections for the United States: Beyond High, Medium, and Low. Journal of the American Statistical Association 89: 1175-1189.
24. Longford, N. (2005). Missing Data and Small-Area Estimation: Modern Analytical Equipment for the Survey Statistician. New York: Springer.
25. Marquardt, D. and R. Snee (1975). Ridge Regression in Practice. The American Statistician 29 (February): 3-20.
26. McKibben, J. (2004). Racial and Ethnic Composition, pp. 175-189 in J. Siegel and D. Swanson (Eds.), The Methods and Materials of Demography, 2nd edition. New York: Elsevier.
27. Moen, E. (1984). Voodoo Forecasting: Technical, Political, and Ethical Issues Regarding the Projection of Local Population Growth. Population Research and Policy Review 3: 1-25.
28. Morris, C. (1983a). Parametric Empirical Bayes Inference: Theory and Applications. Journal of the American Statistical Association 78 (March): 47-55.
29. Morris, C. (1983b). Rejoinder. Journal of the American Statistical Association 78 (March): 63-65.
30. Murdock, S. and D. Ellis (1991). Applied Demography: An Introduction to Basic Concepts, Methods, and Data. Denver, CO: Westview Press.
31. National Research Council (2000). Beyond Six Billion: Forecasting the World's Population. Panel on Population Projections. J. Bongaarts and R. Bulatao (Eds.), Committee on Population, Commission of Behavioral and Social Sciences and Education. Washington, DC: National Academy Press.
32. Nevada Division of Water Planning. (1998). Nye County Population Estimates: Population Estimates (1950-1997) and Forecasts (1998-2002)-July 1st (Persons). Carson City, NV: Nevada Division of Water Planning/Socioeconomic Analysis and Planning. Available online at http://water.nv.gov/water%20planning/ plan-app/ny-tab01.pdf, last accessed July, 2006.
33. Passel, J., J. Siegel, and J.G. Robinson (1982). Coverage of the National Population in the 1980 Census, by Age, Sex, and Race: Preliminary Estimates by Demographic Analysis. U.S. Bureau of the Census Current Population Reports, Special Studies P-23 No. 115. Washington DC: U.S. Government Printing Office.
34. Pittenger, D. (1976). Projecting State and Local Populations. Cambridge, MA: Ballinger.
35. Pittenger, D. (1978). The Role of Judgment, Assumptions, Techniques and Confidence Limits in Forecasting Population. Socio-Economic Planning Sciences 12: 271-276.
36. Pollard, J. (1973). Mathematical Models for he Growth of Human Populations. London, UK: Cambridge University Press.
37. Prasad, N. and J. Rao (1990). The Estimation of theMean Squared Error of Small Area Estimators. Journal of the American Statistical Association 85 (March): 163-171.
38. Reinsel, G. (1985). Mean Squared Error Properties of Empirical Bayes Estimators in aMultivariate Random Effects General Linear Model. Journal of the American Statistical Association 80 (September): 642-650.
39. Rives, N. (1982). Assessment of a Survey Approach, pp. 79-96 in E. Lee and H. Goldsmith (Eds.), Population Estimates: Methods for Small Areas. Beverly Hills, CA: Sage Publications.
40. Robinson, J.G., B. Ahmed, P. Das Gupta, and K. Woodrow (1991). Estimating Coverage of the 1990 United States Census: Demographic Analysis. Paper presented at the Annual Meeting of the American Statistical Association, Atlanta, GA.
41. Robinson, J.G., B. Ahmed, P. Das Gupta, and K. Woodrow (1993). Estimation of Population Coverage in the 1990 United States Census Based on Demographic Analysis. Journal of the American Statistical Association 88(423): 1061-1071.
42. Robinson, J.G., K. West and A. Adlakha (2002), Coverage of the Population in Census 2000: Results from Demographic Analysis. Population Research and Policy Review 21(1): 19-38.
43. Roe, L., J. Carlson, and D. Swanson. (1992). A Variation of the Housing Unit Method For Estimating The Population of Small, Rural Areas: A Case Study of the Local Expert Procedure. Survey Methodology 18 (June): 155-163.
44. Romaniuc, A. (2003). Reflection on Population Forecasting: From Predictions to Prospective Analysis. Canadian Studies in Population 30(1): 35-50.
45. Smith, S. (1987). Test of Forecast Accuracy and Bias for County Population Projections. Journal of the American Statistical Association 82: 991-1003.
46. Smith, S. and R. Bayya. (1992). An Evaluation of Population Forecast Errors for Florida and Its Counties. Applied Demography 7: 1-5.
47. Smith, S. and T. Sincich (1988). Stability over Time in the Distribution of Population Forecast Errors. Demography 25: 461-474.
48. Smith, S. and T. Sincich (1990). Relationship between the Length of the Base Period and Population Forecast Errors. Journal of the American Statistical Association 85: 367-375.
49. Smith, S. and T. Sincich (1992). Evaluating the Forecast Accuracy and Bias of Alternative Population Projections for States. International Journal of Forecasting 8: 495-508.
50. Smith, S., J. Tayman, and D. Swanson (2001). Population Projections for State and Local Areas: Methodology and Analysis. New York: Kluwer Academic/Plenum Press.
51. Stoto, M. (1983). The Accuracy of Population Projections. Journal of the American Statistical Association 78: 13-20.
52. Swanson, D. (1978). Preliminary Results of an Evaluation of the Utility of Ridge Regression for Making County Population Estimates. Paper presented at the Annual Meeting of the Pacific Sociological Association, Spokane, Washington.
53. Swanson, D. (1980). Improving Accuracy in Multiple Regression Estimates of Population Using Principles from Causal Modeling. Demography 17: 413-427.
54. Swanson, D. (1989). Confidence Intervals for Postcensal Population Estimates: A Case Study for Local Areas. Survey Methodology 15(2): 271-280.
55. Swanson, D. (1997a). Oral and Written Testimony, Nuclear Regulatory Commission, Advisory Committee On Nuclear Waste, September 25, 1997, Las Vegas, NV.
56. Swanson, D. (1997b). The "Biosphere" Food Consumption Survey: Summary Findings and Technical Documentation. Las Vegas, NV: U.S. Department of Energy, Office of Civilian Radioactive Waste Management (DE-AC01-91RW00134). (November) U.S. Department of Energy, Yucca Mountain Project.
57. Swanson, D. (1998a). Regional Survey, pp. 3-151 to 3-155 in Viability Assessment for a Repository at Yucca Mountain, Nevada. Washington, DC: U.S. Department of Energy.
58. Swanson, D. (1998b). Technical Documentation and Summary Findings of the 1997 Survey in Lincoln County, Nevada. Las Vegas, NV: U.S. Department of Energy, Office of Civilian Radioactive Waste Management (DE-AC01-91RW00134). (May) U.S. Department of Energy, Yucca Mountain Project.
59. Swanson, D. (1999). Forecasting Age-Specific Fertility Rates: An Example Using Data from Nevada. Unpublished report. Las Vegas, NV: SAIC, Inc.
60. Swanson, D. and D. Beck (1994). A New, Short-Term County Population Projection Method. Journal of Economic and Social Measurement 20: 1-26.
61. Swanson, D. and J. Tayman (1995). Between a Rock and a Hard Place: The Evaluation of Demographic Forecasts. Population Research and Policy Review 14: 233-249.
62. Swanson, D., H. Kintner, and M. McGehee (1993). Mean Square Error Confidence Intervals for Inter-censal Net Migration Estimates: A Case Study of Arkansas, 1980 to 1990. Paper presented at the Annual Meeting of the Southern Demographic Association, New Orleans, LA.
63. Swanson, D., H. Kintner, D. Arnold, J. Carlson, and C. Williams (1994). Construction of Confidence Intervals for Population Forecasts Generated by the Cohort-Component Method. Paper presented at the Annual Meeting of the Population Association of America, Miami, FL.
64. Swanson, D., J. Tayman, and D. Beck (1995a). On the Utility of Lagged Ratio-Correlation as a short-Term Population Method: A Case Study of Washington State. Journal of Economic and Social Measurement 21(1): 1-16.
65. Swanson, D., J. Carlson, L. Roe, and C. Williams (1995b). Estimating the Population of Rural Communities by Age and Gender: A Case Study of the Local Expert Procedure. Small Town (May-June): 14-21.
66. Sykes, Z. (1969). Some Stochastic Versions of the Matrix Method for Population Dynamics. Journal of the American Statistical Association 64: 111-130.
67. Tayman, J., E. Schaefer, and L. Carter. (1998). The Role of Population Size in the Determination and Prediction of Population Forecast Errors: An Evaluation Using Confidence Intervals for subcounty Areas. Population Research and Policy Review 17(1): 1-20.
68. Tayman, J., S. Smith, and J. Lin. (2007). Precision, Bias, and Uncertainty for State Population Forecasts: An Exploratory Analysis of Time Series Models. Population Research and Policy Review 26(3): 347-369.
69. U.S. Bureau of the Census (1974). Estimates of Coverage by Sex, Race and Age: Demographic Analysis. Census of Population and Housing: 1970 Evaluation and Research Program, No. PHC (E)-4. Washington, DC: U.S. Government Printing Office.
70. U.S. Bureau of the Census (1982). 1980 Census of Population, General Population Characteristics, Nevada, PC80-1-B30. Washington, DC: Government Printing Office.
71. U.S. Bureau of the Census (1992). 1990 Census of Population, General Population Characteristics, Nevada, 1990 CP-1-30. Washington, DC: Government Printing Office.
72. U.S. Bureau of the Census (2001). 2000 Census of the Population, General Population Characteristics, Nevada, PHC-2-30. Available online at http://www.census.gov/census2000/pubs/phc-2.html, last accessed September 2007.
73. U.S. National Center for Health Statistics (1998). U.S. Decennial Life Tables for 1989-91, Volume II, State Life Tables No. 29, Nevada. Hyattsville, MD: U.S. National Center for Health Statistics.
74. Vaupel, J. and A. Yashin (1985). Heterogeneity's Ruses: Some Surprising Effects of Selection on Population Dynamics. The American Statistician 39 (August): 176-185.