IDEAS home Printed from https://ideas.repec.org/p/nzt/nztwps/03-07.html
   My bibliography  Save this paper

Can population projections be used for sensitivity tests on policy models?

Author

Listed:

Abstract

Many policy models require assumptions about future population trends. Sensitivity tests for these assumptions are normally carried out by comparing population projection variants. This paper outlines some of the conditions that variant-based sensitivity tests must meet if they are to be informative. It then describes four common situations where these conditions are not met, so that conventional sensitivity tests are not informative. The solution, the paper argues, is stochastic population projections.

Suggested Citation

  • John Bryant, 2003. "Can population projections be used for sensitivity tests on policy models?," Treasury Working Paper Series 03/07, New Zealand Treasury.
  • Handle: RePEc:nzt:nztwps:03/07
    as

    Download full text from publisher

    File URL: https://treasury.govt.nz/sites/default/files/2007-09/twp03-07.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tuljapurkar, Shripad, 1992. "Stochastic population forecasts and their uses," International Journal of Forecasting, Elsevier, vol. 8(3), pages 385-391, November.
    2. Wolfgang Lutz & Warren Sanderson & Sergei Scherbov, 2001. "The end of world population growth," Nature, Nature, vol. 412(6846), pages 543-545, August.
    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. John Bryant, 2003. "The Ageing of the New Zealand Population, 1881-2051," Treasury Working Paper Series 03/27, New Zealand Treasury.
    2. Dunstan Kim & Ball Christopher, 2016. "Demographic Projections: User and Producer Experiences of Adopting a Stochastic Approach," Journal of Official Statistics, Sciendo, vol. 32(4), pages 947-962, December.

    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. Booth, Heather, 2006. "Demographic forecasting: 1980 to 2005 in review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 547-581.
    2. Alho, Juha, 2008. "Aggregation across countries in stochastic population forecasts," International Journal of Forecasting, Elsevier, vol. 24(3), pages 343-353.
    3. David Lam, 2011. "How the World Survived the Population Bomb: Lessons From 50 Years of Extraordinary Demographic History," Demography, Springer;Population Association of America (PAA), vol. 48(4), pages 1231-1262, November.
    4. Malte Meinshausen, 2007. "Stylized Emission Path," Human Development Occasional Papers (1992-2007) HDOCPA-2007-51, Human Development Report Office (HDRO), United Nations Development Programme (UNDP).
    5. Clotilde Grandval & Jean-Christophe Bureau & Herve Guyomard & Laurence Roudart, 2006. "Panorama des analyses prospectives sur l'évolution de la sécurité alimentaire mondiale à l'horizon 2020-2030," Working Papers hal-02819396, HAL.
    6. Leiwen Jiang & Karen Hardee, 2011. "How do Recent Population Trends Matter to Climate Change?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 30(2), pages 287-312, April.
    7. 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.
    8. Chakravorty, Ujjayant & Magne, Bertrand & Moreaux, Michel, 2006. "A Hotelling model with a ceiling on the stock of pollution," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2875-2904, December.
    9. Meng Xu & Helge Brunborg & Joel E. Cohen, 2017. "Evaluating multi-regional population projections with Taylor’s law of mean–variance scaling and its generalisation," Journal of Population Research, Springer, vol. 34(1), pages 79-99, March.
    10. Handong Li & Tianmin Zhou & Can Jia, 2019. "The influence of the universal two-child policy on China’s future population and ageing," Journal of Population Research, Springer, vol. 36(3), pages 183-203, September.
    11. Marina Fischer-Kowalski & Daniel Hausknost, 2014. "Large-scale Societal Transitions in the Past. WWWforEurope Working Paper No. 55," WIFO Studies, WIFO, number 47187, April.
    12. Frenzel, Max & Tolosana-Delgado, Raimon & Gutzmer, Jens, 2015. "Assessing the supply potential of high-tech metals – A general method," Resources Policy, Elsevier, vol. 46(P2), pages 45-58.
    13. Lin Chen & Chunying Ren & Bai Zhang & Zongming Wang & Mingyue Liu, 2018. "Quantifying Urban Land Sprawl and its Driving Forces in Northeast China from 1990 to 2015," Sustainability, MDPI, vol. 10(1), pages 1-18, January.
    14. Nico Keilman & Dinh Quang Pham & Arve Hetland, 2002. "Why population forecasts should be probabilistic - illustrated by the case of Norway," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 6(15), pages 409-454.
    15. Cordier, Mateo & Pérez Agúndez, José A. & O'Connor, Martin & Rochette, Sébastien & Hecq, Walter, 2011. "Quantification of interdependencies between economic systems and ecosystem services: An input-output model applied to the Seine estuary," Ecological Economics, Elsevier, vol. 70(9), pages 1660-1671, July.
    16. Sunha Myong & JungJae Park & Junjian Yi, 2021. "Social Norms and Fertility," Journal of the European Economic Association, European Economic Association, vol. 19(5), pages 2429-2466.
    17. Mateo Cordier & Martin O'Connor, 2012. "Comment le système économique intéragit-il avec les services écosystémiques intermédiaires: analyse input-output appliquée aux habitats marins de l'estuaire de la Seine," Working Papers hal-00911659, HAL.
    18. Francesco C. Billari & Hans-Peter Kohler, 2002. "Patterns of lowest-low fertility in Europe," MPIDR Working Papers WP-2002-040, Max Planck Institute for Demographic Research, Rostock, Germany.
    19. Gonzalo, Julio A. & Muñoz, Félix, 2014. "Prospects of world population decline in the near future: a short note," Working Papers in Economic Theory 2014/01, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
    20. John Bryant, 2003. "The Ageing of the New Zealand Population, 1881-2051," Treasury Working Paper Series 03/27, New Zealand Treasury.

    More about this item

    Keywords

    Demography; Sensitivity testing; Population projections; Policy modelling;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nzt:nztwps:03/07. 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: CSS Web and Publishing, The Treasury (email available below). General contact details of provider: https://edirc.repec.org/data/tregvnz.html .

    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.