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Forecasting the Population of Census Tracts by Age and Sex: An Example of the Hamilton–Perry Method in Action

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  • David Swanson
  • Alan Schlottmann
  • Bob Schmidt

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  • David Swanson & Alan Schlottmann & Bob Schmidt, 2010. "Forecasting the Population of Census Tracts by Age and Sex: An Example of the Hamilton–Perry Method in Action," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 29(1), pages 47-63, February.
    • Handle: RePEc:kap:poprpr:v:29:y:2010:i:1:p:47-63
    DOI: 10.1007/s11113-009-9144-7
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    References listed on IDEAS

    as
    1. Treyz, George I, et al, 1993. "The Dynamics of U.S. Internal Migration," The Review of Economics and Statistics, MIT Press, vol. 75(2), pages 209-214, May.
    2. Morrison, P-A & Abrahamse, A-F, 1996. "Applying Demographic Analysis to Store Site Selection," Papers 96-23, RAND - Reprint Series.
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    Citations

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    Cited by:

    1. Tom Wilson, 2016. "Evaluation of Alternative Cohort-Component Models for Local Area Population Forecasts," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 35(2), pages 241-261, April.
    2. David A. Swanson, 2022. "Forecasting a Tribal Population Using the Cohort-Component Method: A Case Study of the Hopi," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(4), pages 1831-1852, August.
    3. Jeff Tayman & David A. Swanson & Jack Baker, 2021. "Using Synthetic Adjustments and Controlling to Improve County Population Forecasts from the Hamilton–Perry Method," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(6), pages 1355-1383, December.
    4. Farhat Yusuf & David Swanson, 2010. "Business Demography in the 21st Century," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 29(1), pages 1-3, February.
    5. Tom Wilson, 2022. "Preparing local area population forecasts using a bi-regional cohort-component model without the need for local migration data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 46(32), pages 919-956.
    6. Jeff Tayman & David A. Swanson, 2017. "Using modified cohort change and child-woman ratios in the Hamilton–Perry forecasting method," Journal of Population Research, Springer, vol. 34(3), pages 209-231, September.
    7. Jack Baker & David Swanson & Jeff Tayman, 2021. "The Accuracy of Hamilton–Perry Population Projections for Census Tracts in the United States," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(6), pages 1341-1354, December.
    8. Guillaume Marois & Alain Bélanger, 2014. "Microsimulation Model Projecting Small Area Populations Using Contextual Variables: An Application to the Montreal Metropolitan Area, 2006-2031," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 158-193.
    9. Suwan Shen & Karl Kim & Dingyi Liu, 2023. "Aging in Place or Moving to Higher Ground: Older Adults’ Adaptation to Sea Level Rise in Honolulu, Hawaii," Sustainability, MDPI, vol. 15(12), pages 1-14, June.
    10. Jack Baker & Adelamar Alcantara & Xiaomin Ruan & Kendra Watkins & Srini Vasan, 2013. "A Comparative Evaluation of Error and Bias in Census Tract-Level Age/Sex-Specific Population Estimates: Component I (Net-Migration) vs Component III (Hamilton–Perry)," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(6), pages 919-942, December.
    11. Neal Marquez & Xiaoqi Bao & Eileen Kazura & Jessica Lapham & Priya Sarma & Crystal Yu & Christine Leibbrand & Sara Curran, 2024. "An Evaluation of Projection Methods for Detailed Small Area Projections: An Application and Validation to King County, Washington," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 43(2), pages 1-29, April.
    12. Tom Wilson & Irina Grossman & Monica Alexander & Phil Rees & Jeromey Temple, 2022. "Methods for Small Area Population Forecasts: State-of-the-Art and Research Needs," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(3), pages 865-898, June.

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