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Volumn 26, Issue 3, 2007, Pages 347-369

Precision, bias, and uncertainty for state population forecasts: An exploratory analysis of time series models

Author keywords

ARIMA; Forecast accuracy; Forecast uncertainty; Population forecasts; Prediction intervals

Indexed keywords

ESTIMATION METHOD; FORECASTING METHOD; GROWTH RATE; MODEL; POPULATION SIZE; TIME SERIES ANALYSIS; UNCERTAINTY ANALYSIS;

EID: 34548220478     PISSN: 01675923     EISSN: 15737829     Source Type: Journal    
DOI: 10.1007/s11113-007-9034-9     Document Type: Article
Times cited : (31)

References (46)
  • 1
    • 44049116600 scopus 로고
    • Error measures and the choice of a forecast method
    • Ahlburg, D. (1992). Error measures and the choice of a forecast method. International Journal of Forecasting, 8, 99-100.
    • (1992) International Journal of Forecasting , vol.8 , pp. 99-100
    • Ahlburg, D.1
  • 2
    • 0025528426 scopus 로고
    • Stochastic methods in population forecasting
    • Alho, J. (1990). Stochastic methods in population forecasting. International Journal of Forecasting, 6, 521-530.
    • (1990) International Journal of Forecasting , vol.6 , pp. 521-530
    • Alho, J.1
  • 3
    • 0011843436 scopus 로고    scopus 로고
    • The practical specification of the expected error of population forecasts
    • Alho, J., & Spencer, B. (1997). The practical specification of the expected error of population forecasts. Journal of Official Statistics, 13, 203-225.
    • (1997) Journal of Official Statistics , vol.13 , pp. 203-225
    • Alho, J.1    Spencer, B.2
  • 7
    • 0022669556 scopus 로고
    • Population forecasts and confidence intervals for Sweden: A comparison of model-based and empirical approaches
    • Cohen, J. (1986). Population forecasts and confidence intervals for Sweden: A comparison of model-based and empirical approaches. Demography, 23, 105-126.
    • (1986) Demography , vol.23 , pp. 105-126
    • Cohen, J.1
  • 8
    • 0027687005 scopus 로고
    • Forecast intervals of net migration: The case of the Netherlands
    • De Beer, J. (1993). Forecast intervals of net migration: The case of the Netherlands. Journal of Forecasting, 12, 585-599.
    • (1993) Journal of Forecasting , vol.12 , pp. 585-599
    • De Beer, J.1
  • 9
    • 0003015807 scopus 로고
    • Unit roots in time series models: Tests and implications
    • Dickey, D., Bell, W., & Miller, R. (1986). Unit roots in time series models: Tests and implications. American Statistician, 74, 427-431.
    • (1986) American Statistician , vol.74 , pp. 427-431
    • Dickey, D.1    Bell, W.2    Miller, R.3
  • 12
    • 24944553192 scopus 로고    scopus 로고
    • How accurate are the United Nations world population projections?
    • In W. Lutz, J. Vaupel, & D. Ahlburg (Eds.) New York, NY: Population Council. Supplement to of Population and Development Review
    • Keilman, N. (1999). How accurate are the United Nations world population projections? In W. Lutz, J. Vaupel, & D. Ahlburg (Eds.), Frontiers of population forecasting (pp. 15-41). New York, NY: Population Council. Supplement to Vol. 24 of Population and Development Review.
    • (1999) Frontiers of Population Forecasting , vol.24 , pp. 15-41
    • Keilman, N.1
  • 13
    • 3042672674 scopus 로고    scopus 로고
    • Why population forecasts should be probabilistic - Illustrated by the case of Norway
    • Keilman, N., Pham, D., & Hetland, A. (2002). Why population forecasts should be probabilistic - illustrated by the case of Norway. Demographic Research, 6, 409-453.
    • (2002) Demographic Research , vol.6 , pp. 409-453
    • Keilman, N.1    Pham, D.2    Hetland, A.3
  • 15
    • 0019697606 scopus 로고
    • The limits of population forecasting
    • Keyfitz, N. (1981). The limits of population forecasting. Population and development review, 7, 579-593.
    • (1981) Population and Development Review , vol.7 , pp. 579-593
    • Keyfitz, N.1
  • 16
    • 0016097785 scopus 로고
    • Forecasting births in post-transition populations: Stochastic renewal with serially correlated fertility
    • Lee, R. (1974). Forecasting births in post-transition populations: Stochastic renewal with serially correlated fertility. Journal of the American Statistical Association, 69, 607-617.
    • (1974) Journal of the American Statistical Association , vol.69 , pp. 607-617
    • Lee, R.1
  • 17
  • 18
    • 84950967036 scopus 로고
    • Stochastic population forecasts for the United States: Beyond high, medium, and low
    • Lee, R., & Tuljapurkar, S. (1994). Stochastic population forecasts for the United States: Beyond high, medium, and low. Journal of the American Statistical Association, 89, 1175-1189.
    • (1994) Journal of the American Statistical Association , vol.89 , pp. 1175-1189
    • Lee, R.1    Tuljapurkar, S.2
  • 19
    • 34548215214 scopus 로고    scopus 로고
    • Expert-based probabilistic population projections
    • In W. Lutz, J. Vaupel, & D. Ahlburg (Eds.) New York, NY: Population Council. Supplement to of Population and Development Review
    • Lutz, W., Sanderson, W., & Scherbov, S. (1999). Expert-based probabilistic population projections. In W. Lutz, J. Vaupel, & D. Ahlburg (Eds.), Frontiers of Population Forecasting (pp. 139-155). New York, NY: Population Council. Supplement to Vol. 24 of Population and Development Review.
    • (1999) Frontiers of Population Forecasting , vol.24 , pp. 139-155
    • Lutz, W.1    Sanderson, W.2    Scherbov, S.3
  • 22
    • 0024856281 scopus 로고
    • Forecasting mortality: A parameterized time series approach
    • McNown, R., & Rogers, A. (1989). Forecasting mortality: A parameterized time series approach. Demography, 26, 645-660.
    • (1989) Demography , vol.26 , pp. 645-660
    • McNown, R.1    Rogers, A.2
  • 23
    • 34548259461 scopus 로고    scopus 로고
    • Technical Paper 3/RT/98. Economic Analysis, Research, and Publication Department. Central Bank of Ireland
    • Meyler, A., Kenny, G., & Quinn, T. (1998). Forecasting Irish inflation using ARIMA models. Technical Paper 3/RT/98. Economic Analysis, Research, and Publication Department. Central Bank of Ireland.
    • (1998) Forecasting Irish Inflation Using ARIMA Models
    • Meyler, A.1    Kenny, G.2    Quinn, T.3
  • 24
    • 0021471232 scopus 로고
    • An assessment of the accuracy of a regional economic-demographic projection model
    • Murdock, S., Leistritz, F., Hamm, R., Hwang, S., & Parpia, B. (1984). An assessment of the accuracy of a regional economic-demographic projection model. Demography, 21, 383-404.
    • (1984) Demography , vol.21 , pp. 383-404
    • Murdock, S.1    Leistritz, F.2    Hamm, R.3    Hwang, S.4    Parpia, B.5
  • 26
    • 0026948777 scopus 로고
    • Forecasting U.S. population totals with the Box-Jenkins approach
    • Pflaumer, P. (1992). Forecasting U.S. population totals with the Box-Jenkins approach. International Journal of Forecasting, 8, 329-338.
    • (1992) International Journal of Forecasting , vol.8 , pp. 329-338
    • Pflaumer, P.1
  • 27
    • 34248673546 scopus 로고    scopus 로고
    • Assessing the accuracy and bias of trend extrapolation methods for population projections: The long view
    • Paper presented at the Hilton Head SC
    • Rayer, S. (2004). Assessing the accuracy and bias of trend extrapolation methods for population projections: The long view. Paper presented at the annual meeting of the Southern Demographic Association, Hilton Head SC.
    • (2004) Annual Meeting of the Southern Demographic Association
    • Rayer, S.1
  • 28
    • 34548275551 scopus 로고
    • Modeling and forecasting populations by time series: The Swedish case
    • Saboia, J. (1974). Modeling and forecasting populations by time series: The Swedish case. Demography, 11, 483-492.
    • (1974) Demography , vol.11 , pp. 483-492
    • Saboia, J.1
  • 29
    • 0029332130 scopus 로고
    • Predictability, complexity, and catastrophe in a collapsible model of population, development, and environmental interactions
    • Sanderson, W. (1995). Predictability, complexity, and catastrophe in a collapsible model of population, development, and environmental interactions. Mathematical Population Studies, 5, 259-279.
    • (1995) Mathematical Population Studies , vol.5 , pp. 259-279
    • Sanderson, W.1
  • 30
    • 0024164456 scopus 로고
    • Stability over time in the distribution of population forecast errors
    • Smith, S., & Sincich, T. (1988). Stability over time in the distribution of population forecast errors. Demography, 25, 461-474.
    • (1988) Demography , vol.25 , pp. 461-474
    • Smith, S.1    Sincich, T.2
  • 31
    • 0025443997 scopus 로고
    • The relationship between the length of the base period and population forecast errors
    • Smith, S., & Sincich, T. (1990). The relationship between the length of the base period and population forecast errors. Journal of the American Statistical Association, 85, 367-375.
    • (1990) Journal of the American Statistical Association , vol.85 , pp. 367-375
    • Smith, S.1    Sincich, T.2
  • 32
    • 0026948888 scopus 로고
    • Evaluating the forecast accuracy and bias of alternative population projections for states
    • Smith, S., & Sincich, T. (1992). Evaluating the forecast accuracy and bias of alternative population projections for states. International Journal of Forecasting, 8, 495-508.
    • (1992) International Journal of Forecasting , vol.8 , pp. 495-508
    • Smith, S.1    Sincich, T.2
  • 36
    • 0029767351 scopus 로고    scopus 로고
    • The accuracy of small-area population forecasts based on a spatial interaction land-use modeling system
    • Tayman, J. (1996). The accuracy of small-area population forecasts based on a spatial interaction land-use modeling system. Journal of the American Planning Association, 62, 85-98.
    • (1996) Journal of the American Planning Association , vol.62 , pp. 85-98
    • Tayman, J.1
  • 38
    • 0031806333 scopus 로고    scopus 로고
    • The role of population size in the determination and prediction of population forecast errors: An evaluation using confidence intervals for subcounty areas
    • Tayman, J., Schafer, E., & Carter, L. (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, 1-20.
    • (1998) Population Research and Policy Review , vol.17 , pp. 1-20
    • Tayman, J.1    Schafer, E.2    Carter, L.3
  • 39
    • 34548259946 scopus 로고
    • U.S. Census Bureau. Current Population Reports, Series P-25, No. 139 (Released on the Internet February 1996.)
    • U.S. Census Bureau. (1956). Estimates of the population of states: 1900 to 1949. Current Population Reports, Series P-25, No. 139 (Released on the Internet February 1996.)
    • (1956) Estimates of the Population of States: 1900 to 1949
  • 42
    • 34548290916 scopus 로고
    • U.S. Census Bureau. Current Population Reports, Series P-25, No. 957 (Released on the Internet February 1995.)
    • U.S. Census Bureau. (1984). Intercensal estimates of states and components of population change 1970 to 1980. Current Population Reports, Series P-25, No. 957 (Released on the Internet February 1995.)
    • (1984) Intercensal Estimates of States and Components of Population Change 1970 to 1980
  • 43
    • 34548289049 scopus 로고
    • U.S. Census Bureau. Current Population Reports, Series P-25, No. 1106 (Released on the Internet August 1996.)
    • U.S. Census Bureau. (1993). Intercensal estimates of states and components of population change 1970 to 1980. Current Population Reports, Series P-25, No. 1106 (Released on the Internet August 1996.)
    • (1993) Intercensal Estimates of States and Components of Population Change 1970 to 1980
  • 46
    • 0010807278 scopus 로고
    • Empirical study of the accuracy of selected methods of projecting state populations
    • White, H. (1954). Empirical study of the accuracy of selected methods of projecting state populations. Journal of the American Statistical Association, 49, 480-498.
    • (1954) Journal of the American Statistical Association , vol.49 , pp. 480-498
    • White, H.1


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