Estimating regional unemployment with mobile network data for functional urban areas in Germany

DOI10.1007/s10260-023-00722-0MaRDI QIDQ6580631

Sandra Hadam, Ann-Kristin Kreutzmann, Nora Würz, Timo Schmid

Publication date: 29 July 2024

Published in: Statistical Methods and Applications (Search for Journal in Brave)

zbMATH Keywords

mean squared errorsmall area estimationbias correctionFay-Herriot modelunemployment rates

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Variable selection for linear mixed models with applications in small area estimation
• Analytic and bootstrap approximations of prediction errors under a multivariate Fay-Herriot model
• Sur les fonctions convexes et les inégalités entre les valeurs moyennes.
• Transforming response values in small area prediction
• Semiparametric empirical best prediction for small area estimation of unemployment indicators
• Small Area Estimation
• Mean-Squared Error Estimation in Transformed Fay–Herriot Models
• Combining Information From Two Surveys to Estimate County-Level Prevalence Rates of Cancer Risk Factors and Screening
• The Estimation of the Mean Squared Error of Small-Area Estimators
• Small area estimation to quantify discontinuities in repeated sample surveys
• Constructing sociodemographic indicators for national statistical institutes by using mobile phone data: estimating literacy rates in Senegal
• From start to finish: a framework for the production of small area official statistics

Related Items (1)

The local distribution of in-work poverty and sectoral employment: an analysis of local dynamics in Italy

This page was built for publication: Estimating regional unemployment with mobile network data for functional urban areas in Germany