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

Count data models for demographic data.

R Winkelmann, K F Zimmermann

    Mathematical Population Studies
    |February 1, 1994
    PubMed
    Summary
    This summary is machine-generated.

    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

    The peri- and intratumoral immune cell infiltrate and PD-L1 status in invasive squamous cell carcinomas of the penis.

    Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico·2021
    Same author

    Identification of Aspergillus and Mucorales in formalin-fixed, paraffin-embedded tissue samples: Comparison of specific and broad-range fungal qPCR assays.

    Medical mycology·2018
    Same author

    [Vascularized tumor of the retroauricular skin].

    Der Pathologe·2018
    Same author

    Critical insolation-CO2 relation for diagnosing past and future glacial inception.

    Nature·2016
    Same author

    TRPA1 and TRPV1 are differentially involved in heat nociception of mice.

    European journal of pain (London, England)·2013
    Same author

    Increased future ice discharge from Antarctica owing to higher snowfall.

    Nature·2012
    Same journal

    Development of an Exact Theory of Decomposing Population Attributable Fractions and Application to Decomposition of Alzheimer's Disease Risk.

    Mathematical population studies·2026
    Same journal

    Editorial: Methods and Applications in Spatial Demography: 2.

    Mathematical population studies·2021
    Same journal

    Beyond Household Walls: The Spatial Structure of American Extended Kinship Networks.

    Mathematical population studies·2021
    Same journal

    Prevalence of Left-handedness in China 2011: Small-area Estimates.

    Mathematical population studies·2020
    Same journal

    Neighborhood affluence protects against antenatal smoking: evidence from a spatial multiple membership model.

    Mathematical population studies·2019
    Same journal

    A Discrete-Time Branching Process Model of Yeast Prion Curing Curves.

    Mathematical population studies·2018
    See all related articles

    This study introduces a flexible generalized event count model for analyzing count data, addressing over- and underdispersion. The model was effectively applied to German demographic data, including fertility, divorces, and mobility.

    Area of Science:

    • Econometrics
    • Demography
    • Statistical Modeling

    Background:

    • Estimating single equation models with count data requires specialized approaches.
    • Standard count models may not adequately handle overdispersion or underdispersion.
    • Individual characteristics influence count outcomes.

    Purpose of the Study:

    • To propose a generalized event count model for flexible count data analysis.
    • To simultaneously accommodate various count data models.
    • To account for overdispersion and underdispersion in regression models.

    Main Methods:

    • Development of a generalized event count model.
    • Simultaneous allowance for a wide class of count data models.
    • Application to German demographic data (fertility, divorces, mobility).
    Keywords:
    Demographic FactorsDeveloped CountriesDivorceEstimation TechnicsEuropeFertilityGermanyMathematical ModelMigrationModels, TheoreticalNuptialityPopulationPopulation DynamicsResearch MethodologyWestern Europe

    Related Experiment Videos

    Main Results:

    • The proposed generalized event count model effectively handles count data.
    • The model successfully accounts for both overdispersion and underdispersion.
    • Empirical application demonstrates the model's utility on real-world demographic data.

    Conclusions:

    • The generalized event count model offers a robust framework for count data analysis.
    • This approach provides a unified way to model various count data phenomena.
    • The model is suitable for analyzing demographic events like fertility, divorces, and mobility.