IDEAS home Printed from https://ideas.repec.org/a/bap/journl/110502.html
   My bibliography  Save this article

On Estimating a De Facto Population and Its Components

Author

Listed:
  • David A. Swanson

    () (University of California Riverside, U.S.A.)

  • Jeff Tayman

    () (University of California San Diego, U.S.A.)

Abstract

This paper deals with estimating a population that is largely defined by the fact that its size, composition, and distribution are not readily accessible from census data in the U.S. and the other countries that use the De Jure concept of population. The population in question is based on the De Facto concept, which involves the estimation of people where they are found rather than where they usually reside. In a country where the national statistical office uses the De Jure concept, estimating the De Facto population as well as its components is an important, but not easy task. It is important because of the many uses for estimates of the De Facto population; it is difficult because the data that can be used to estimate a De Facto population are skimpy. In an effort to develop this field of population estimation more fully we provide an equation to define the De Facto population as well as an example of its use. We describe and discuss each of the components of this equation and also provide examples of estimates of its direct components and an implied component ¨C the daytime population. Although we view a population impacted by a disaster as distinct from a De Facto population, we include a discussion of it here since many of the methods used to estimate a De Facto population are applicable.

Suggested Citation

  • David A. Swanson & Jeff Tayman, 2011. "On Estimating a De Facto Population and Its Components," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 17-31, November.
  • Handle: RePEc:bap:journl:110502
    as

    Download full text from publisher

    File URL: http://www.bapress.ca/Journal-5/On%20Estimating%20a%20De%20Facto%20Population%20and%20Its%20Components%20By%20David%20A.%20Swanson.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Paul Auken & Roger Hammer & Paul Voss & Daniel Veroff, 2006. "The American Community Survey in counties with “seasonal” populations," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 25(3), pages 275-292, June.
    2. Stanley Smith & Christopher McCarty, 1996. "Demographic effects of natural disasters: a case study of hurricane andrew," Demography, Springer;Population Association of America (PAA), vol. 33(2), pages 265-275, May.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Visitor population; Daytime population; Seasonal population; Homeless;

    JEL classification:

    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

    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:bap:journl:110502. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Carlson). General contact details of provider: http://www.bapress.ca .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.