IDEAS home Printed from https://ideas.repec.org/a/taf/mpopst/v13y2006i2p63-82.html
   My bibliography  Save this article

Differences in Population Estimates Between an Administrative System and Census: The Case of Israel

Author

Listed:
  • Ahmad Hleihel

Abstract

The component method of population estimation relies on census counts, vital statistics, and internal and international migration. In Israel, all individuals' events are registered. To apply the component method, individuals' records from the census and the administrative data are aggregated to give population estimates. However, this method disconnects individual from aggregated characteristics, and differences appear in individual characteristics between census and administrative data. The Israel Central Bureau of Statistics conducted individual follow-ups. The pros and cons of each method are presented. On average, individual estimates on statistical areas are larger than aggregate estimates, and the differences are stable after several years. The individual estimates are preferable under at least four situations: in conducting a registry of emigrants; in conducting a census of institutions; where administrative files are available; and where census method is suitable to this method.

Suggested Citation

  • Ahmad Hleihel, 2006. "Differences in Population Estimates Between an Administrative System and Census: The Case of Israel," Mathematical Population Studies, Taylor & Francis Journals, vol. 13(2), pages 63-82.
  • Handle: RePEc:taf:mpopst:v:13:y:2006:i:2:p:63-82
    DOI: 10.1080/08898480600619995
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/08898480600619995
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/08898480600619995?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. Stephen Simpson & Ian Diamond & Pete Tonkin & Rachel Tye, 1996. "Updating Small Area Population Estimates in England and Wales," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 159(2), pages 235-247, March.
    2. Philip Rees & Paul Norman & Dominic Brown, 2004. "A framework for progressively improving small area population estimates," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(1), pages 5-36, February.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Sandra Hadam, 2023. "Experimentelle georeferenzierte Bevölkerungszahl auf Basis der Bevölkerungsfortschreibung und Mobilfunkdaten [Experimental georeferenced population figure based on intercensal population updates an," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 17(1), pages 35-69, March.
    3. Qian Cai, 2007. "New techniques in small area population estimates by demographic characteristics," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(2), pages 203-218, April.
    4. 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.
    5. 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.

    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:taf:mpopst:v:13:y:2006:i:2:p:63-82. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GMPS20 .

    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.