IDEAS home Printed from https://ideas.repec.org/p/ore/uoecwp/2010-12.html
   My bibliography  Save this paper

Independent Dimensions of Sociodemographic Variability in Neighborhood Characteristics at the Tract Level of the 2000 Census

Author

Listed:
  • Trudy Ann Cameron

    () (University of Oregon Economics Department)

  • Graham D. Crawford

    () (KBR, Inc.)

Abstract

Researchers using survey data must always deal with the problem of nonignorable non-response among the intended sample for a survey. Often, nothing more is known about a non-respondent individual or household other than the geographic location of their primary residence. However, this information can often be linked to the census sociodemographic characteristics of the approximate locality of each intended sample member. For example, in the absence of individual-specific data, some progress can be made in the task of sample selection correction by utilizing Census tract level information. We report upon the construction of a set of fifteen orthogonal factors that capture 88.7% of the variability across Census tracts in the 2000 Census. Since these factors are calculated using the universe of tracts, they may be interpreted as “population†measures, rather than sampling estimates. Our fifteen factors are available to other researchers, and can be accessed using a password available from the authors. In addition to their utility for survey sample selection corrections, this set of variables may also be useful as controls for neighborhood level heterogeneity in ordinary modeling contexts.

Suggested Citation

  • Trudy Ann Cameron & Graham D. Crawford, 2003. "Independent Dimensions of Sociodemographic Variability in Neighborhood Characteristics at the Tract Level of the 2000 Census," University of Oregon Economics Department Working Papers 2010-12, University of Oregon Economics Department.
  • Handle: RePEc:ore:uoecwp:2010-12
    as

    Download full text from publisher

    File URL: http://economics.uoregon.edu/papers/UO-2010-12_Cameron_Crawford_Tract_Factors.pdf
    Download Restriction: no

    More about this item

    Keywords

    sample selection correction; mail survey; census tracts; factor analysis;

    JEL classification:

    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

    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:ore:uoecwp:2010-12. 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: (Bill Harbaugh). General contact details of provider: http://edirc.repec.org/data/deuorus.html .

    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.

    We have no references for this item. You can help adding them by using 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.