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Contributed Papers

Small area estimation, Bayesian estimation, and multilevel models

Tue, Aug 4, 8:30 AM - 10:20 AM Room CC-107A Thomas M. Menino Convention & Exhibition Center

Patrick JoyceChair

Survey Research Methods Section

7 Presentations

Labour Taxation and In-Work Poverty in Europe: Evidence from the EU Countries

8:35 AM - 8:50 AM

Matilde Bini (European University of Rome)

Co-authors: Lucio Masserini (Department of Economics and Management, University of Pisa)

Common Correlated Effects pooled In-work at-risk-of-poverty rate Labour market

An Integrated Modelling Framework for Estimating Wealth Index for Small Geographical Areas

8:50 AM - 9:05 AM

Srijeeta Mitra (University of Maryland College Park)

Co-authors: Partha Lahiri (University of Maryland-College Park)

Small area estimation Asset-based wealth index Geospatial covariates Survey data integration Spatial matching Joint modelling

Model-based estimators using area-level models with clustered effects

9:05 AM - 9:20 AM

Xin Wang (San Diego State University)

Co-authors: Konnor Payne (San Diego State University)

Area-level models Clustered effects Penalty functions Small area estimation

Multivariate Weighted Multilevel Modeling of Multi-Domain Survey Scales in a Prospective Study

9:20 AM - 9:35 AM

Co-authors: Jacob Tanumihardjo (University of Chicago), Mengqi Zhu, Zahra Hosseinian (University of Chicago), Yolanda O'Neal (University of Chicago), Monica Peek (University of Chicago), Marshall Chin (University of Chicago), Donald Hedeker (The University of Chicago)

Multi-domain survey Weighted multilevel model Multivariate weighted multilevel model Multivariate longitudinal data

A Bayesian two-fold small area model for estimation of sub-area means when only area-level aggregate

9:35 AM - 9:50 AM

Co-authors: J. Sunil Rao

Small area estimation Hierarchical Bayesian modeling

Design-aware Inference for Ordinal Disparity Indices in Complex Surveys

9:50 AM - 10:05 AM

Ujjayini Das (University of Maryland)

Ordinal health outcomes Model-based inference Complex survey design Bootstrap Weighted likelihood Multilevel models

Reconciliation of Bayes and empirical Bayes interval estimation with application to SAE

10:05 AM - 10:20 AM

Co-authors: Masayo Y. Hirose (Institute of Mathematics for Industry, Kyushu University), Partha Lahiri (University of Maryland-College Park)

Credible interval Empirical best linear unbiased prediction Linear mixed model Matching prior

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