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Evaluating Population Forecast Accuracy: A Regression Approach Using County Data

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  • Jeff Tayman
  • Stanley Smith
  • Stefan Rayer

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  • Jeff Tayman & Stanley Smith & Stefan Rayer, 2011. "Evaluating Population Forecast Accuracy: A Regression Approach Using County Data," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 30(2), pages 235-262, April.
    • Handle: RePEc:kap:poprpr:v:30:y:2011:i:2:p:235-262
    DOI: 10.1007/s11113-010-9187-9
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    References listed on IDEAS

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    1. Stanley Smith & Terry Sincich, 1988. "Stability over time in the distribution of population forecast errors," Demography, Springer;Population Association of America (PAA), vol. 25(3), pages 461-474, August.
    2. Guangqing Chi, 2009. "Can knowledge improve population forecasts at subcounty levels?," Demography, Springer;Population Association of America (PAA), vol. 46(2), pages 405-427, May.
    3. Smith, Stanley K. & Sincich, Terry, 1992. "Evaluating the forecast accuracy and bias of alternative population projections for states," International Journal of Forecasting, Elsevier, vol. 8(3), pages 495-508, November.
    4. Steve Murdock & F. Leistritz & Rita Hamm & Sean-Shong Hwang & Banoo Parpia, 1984. "An assessment of the accuracy of a regional economic-demographic projection model," Demography, Springer;Population Association of America (PAA), vol. 21(3), pages 383-404, August.
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    Citations

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    Cited by:

    1. Tom Wilson & Huw Brokensha & Francisco Rowe & Ludi Simpson, 2018. "Insights from the Evaluation of Past Local Area Population Forecasts," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 37(1), pages 137-155, February.
    2. 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.
    3. Jack Baker & David Swanson & Jeff Tayman, 2023. "Boosted Regression Trees for Small-Area Population Forecasting," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(4), pages 1-24, August.
    4. 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.

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