Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Measuring temporal stability in regression models of population estimation

M Mandell, J Tayman

    Demography
    |February 1, 1982
    PubMed
    Summary

    This study presents a new way to measure the stability of regression models for population estimates. Findings show variable type and measurement are key to accuracy, with coefficient stability having less impact than previously thought.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    ClinGen Variant Curation Interface Workshops: Training Variant Scientists on an International Platform.

    medRxiv : the preprint server for health sciences·2025
    Same author

    Antenatal psychiatric illness and adequacy of prenatal care in an ethnically diverse inner-city obstetric population.

    Archives of women's mental health·2005
    Same author

    Triage nurse application of the Ottawa knee rule.

    Academic emergency medicine : official journal of the Society for Academic Emergency Medicine·2001
    Same author

    A note on the measurement of accuracy for subnational demographic estimates.

    Demography·2000
    Same author

    The emergency department as a potential site for smoking cessation intervention: a randomized, controlled trial.

    Academic emergency medicine : official journal of the Society for Academic Emergency Medicine·2000
    Same author

    Chiari I malformation redefined: clinical and radiographic findings for 364 symptomatic patients.

    Neurosurgery·1999

    Area of Science:

    • Demography
    • Statistical Modeling

    Background:

    • Subnational population estimates rely on regression models.
    • Assessing the temporal stability of these models is crucial for reliable estimates.

    Purpose of the Study:

    • To introduce an empirical indicator for measuring the temporal stability of regression models.
    • To evaluate the impact of temporal stability on subnational population estimate accuracy.

    Main Methods:

    • Analysis of 67 Florida counties using ratio-correlation and difference-correlation models for 1970 population estimates.
    • Comparison of eight regression specifications using a quantitative measure of relative estimate accuracy.

    Main Results:

    • Variable measurement and type significantly influence the accuracy of population estimates.
    • Temporal stability of regression coefficients impacts estimation errors, but to a lesser extent than indicated in existing literature.

    Conclusions:

    • The developed indicator provides a novel approach to assessing model temporal stability.
    • Accuracy in subnational population estimation is more dependent on data quality than on coefficient temporal stability alone.

    Related Experiment Videos