Academic Journal

Modeling Clustered Heterogeneity: Fixed Effects, Random Effects and Mixtures

التفاصيل البيبلوغرافية
العنوان: Modeling Clustered Heterogeneity: Fixed Effects, Random Effects and Mixtures
المؤلفون: Gerhard Tutz, Margret-ruth Oelker
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://epub.ub.uni-muenchen.de/18987/7/tr.fixed.pdf.
سنة النشر: 2014
المجموعة: CiteSeerX
مصطلحات موضوعية: Fixed effects, random effects, mixture modeling, heterogeneity
الوصف: Although each statistical unit on which measurements are taken is unique typically there is not enough information available to account totally for its uniqueness. Therefore heterogeneity among units has to be limited by structural assumptions. One classical approach is to use random effects models, which assume that hetero-geneity can be described by distributional assumptions. However, inference may depend on the assumed mixing distribution and it is assumed that the random ef-fects and the observed covariates are independent. An alternative considered here, are fixed effect models, which let each unit have its own parameter. They are quite flexible but suffer from the large number of parameters. The structural assumption made here is that there are clusters of units that share the same effects. It is shown how clusters can be identified by tailored regularized estimators. Moreover, it is shown that the regularized estimates compete well with estimates for the random effects model, even if the latter is the data generating model. They dominate if clusters are present.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.657.3910; http://epub.ub.uni-muenchen.de/18987/7/tr.fixed.pdf
الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.657.3910
http://epub.ub.uni-muenchen.de/18987/7/tr.fixed.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.22695B5E
قاعدة البيانات: BASE