IDEAS home Printed from https://ideas.repec.org/a/spr/demogr/v40y2003i4p741-757.html
   My bibliography  Save this article

An evaluation of population projections by age

Author

Listed:
  • Stanley Smith
  • Jeff Tayman

Abstract

No abstract is available for this item.

Suggested Citation

  • Stanley Smith & Jeff Tayman, 2003. "An evaluation of population projections by age," Demography, Springer;Population Association of America (PAA), vol. 40(4), pages 741-757, November.
  • Handle: RePEc:spr:demogr:v:40:y:2003:i:4:p:741-757
    DOI: 10.1353/dem.2003.0041
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1353/dem.2003.0041
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1353/dem.2003.0041?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. Alho, Juha M., 1990. "Stochastic methods in population forecasting," International Journal of Forecasting, Elsevier, vol. 6(4), pages 521-530, December.
    3. Stanley Smith, 1986. "Accounting for migration in cohort-component projections of state and local populations," Demography, Springer;Population Association of America (PAA), vol. 23(1), pages 127-135, February.
    4. Nakosteen, Robert A., 1989. "Detailed population projections for small areas: The Massachusetts experience," Socio-Economic Planning Sciences, Elsevier, vol. 23(3), pages 125-138.
    5. Lee, Ronald D., 1992. "Stochastic demographic forecasting," International Journal of Forecasting, Elsevier, vol. 8(3), pages 315-327, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jack C. Yue & Hsin-Chung Wang & Yizhen Liou, 2024. "Using the Taiwan National Health Insurance Database to explore the need for long-term care," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 49(2), pages 400-416, April.
    2. 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.
    3. 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.
    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.
    5. Stefan Rayer & Stanley Smith & Jeff Tayman, 2009. "Empirical Prediction Intervals for County Population Forecasts," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 28(6), pages 773-793, December.
    6. Mario Reinhold & Stephan Thomsen, 2015. "Subnational Population Projections by Age: An Evaluation of Combined Forecast Techniques," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 34(4), pages 593-613, August.
    7. 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.
    8. Tao, Zhuolin & Cheng, Yang & Du, Shishuai & Feng, Ling & Wang, Shaoshuai, 2020. "Accessibility to delivery care in Hubei Province, China," Social Science & Medicine, Elsevier, vol. 260(C).
    9. 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.
    10. Philip Rees & Tom Wilson, 2023. "Accuracy of Local Authority Population Forecasts Produced by a New Minimal Data Model: A Case Study of England," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(6), pages 1-30, December.
    11. 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.
    12. Stefan Rayer & Stanley Smith, 2014. "Population Projections by Age for Florida and its Counties: Assessing Accuracy and the Impact of Adjustments," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 33(5), pages 747-770, October.
    13. Ma, Lu & Srinivasan, Sivaramakrishnan, 2016. "An empirical assessment of factors affecting the accuracy of target-year synthetic populations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 247-264.
    14. Michael P. Cameron & William Cochrane, 2015. "Using Land-Use Modelling to Statistically Downscale Population Projections to Small Areas," Working Papers in Economics 15/12, University of Waikato.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jeff Tayman & Stanley Smith & Jeffrey Lin, 2007. "Precision, bias, and uncertainty for state population forecasts: an exploratory analysis of time series models," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(3), pages 347-369, June.
    2. Booth, Heather, 2006. "Demographic forecasting: 1980 to 2005 in review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 547-581.
    3. Rodier, Caroline J. & Johnston, Robert A., 2002. "Uncertain socioeconomic projections used in travel demand and emissions models: could plausible errors result in air quality nonconformity?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(7), pages 613-631, August.
    4. Ortega, Jose Antonio & Poncela, Pilar, 2005. "Joint forecasts of Southern European fertility rates with non-stationary dynamic factor models," International Journal of Forecasting, Elsevier, vol. 21(3), pages 539-550.
    5. Jeff Tayman, 2011. "Assessing Uncertainty in Small Area Forecasts: State of the Practice and Implementation Strategy," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 30(5), pages 781-800, October.
    6. Stefan Rayer & Stanley Smith & Jeff Tayman, 2009. "Empirical Prediction Intervals for County Population Forecasts," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 28(6), pages 773-793, December.
    7. Alex Armstrong & Nick Draper & Ed Westerhout, 2008. "The impact of demographic uncertainty on public finances in the Netherlands," CPB Discussion Paper 104, CPB Netherlands Bureau for Economic Policy Analysis.
    8. Alex Armstrong & Nick Draper & Ed Westerhout, 2008. "The impact of demographic uncertainty on public finances in the Netherlands," CPB Discussion Paper 104.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    9. EL-HOUJJAJI, Hind & ECHAOUI, Abdellah, 2020. "Assessing the financial sustainability of parametric pension system reforms: The case of Morocco," MPRA Paper 98912, University Library of Munich, Germany.
    10. J Reilly, 1997. "A Method of Assigning Population and a Progress Report on the Use of a Spatial Simulation Model," Environment and Planning B, , vol. 24(5), pages 725-739, October.
    11. Prskawetz, A. & Kogel, T. & Sanderson, W.C. & Scherbov, S., 2007. "The effects of age structure on economic growth: An application of probabilistic forecasting to India," International Journal of Forecasting, Elsevier, vol. 23(4), pages 587-602.
    12. repec:mpr:mprres:3780 is not listed on IDEAS
    13. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    14. 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.
    15. Jason Thomas & Samuel J. Clark, 2011. "More on the Cohort-Component Model of Population Projection in the Context of HIV/AIDS: A Leslie Matrix Representation and New Estimates," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 25(2), pages 39-102.
    16. Huan Wang & Jianyuan Huang & Shuangyue Sun, 2019. "Assessment of the Financial Sustainability of China’s New Rural Pension Plan: Does the Demographic Policy Reform Matter?," Sustainability, MDPI, vol. 11(18), pages 1-22, September.
    17. Carolyn Njenga & Michael Sherris, 2011. "Modeling Mortality with a Bayesian Vector Autoregression," Working Papers 201105, ARC Centre of Excellence in Population Ageing Research (CEPAR), Australian School of Business, University of New South Wales.
    18. Philip Rees & Tom Wilson, 2023. "Accuracy of Local Authority Population Forecasts Produced by a New Minimal Data Model: A Case Study of England," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(6), pages 1-30, December.
    19. Alho, Juha M., 2014. "Forecasting demographic forecasts," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1128-1135.
    20. Jukka Lassila & Tarmo Valkonen, 2018. "Longevity, Working Lives, And Public Finances," Contemporary Economic Policy, Western Economic Association International, vol. 36(3), pages 467-482, July.
    21. Blake, David & Cairns, Andrew J.G., 2021. "Longevity risk and capital markets: The 2019-20 update," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 395-439.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:demogr:v:40:y:2003:i:4:p:741-757. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.