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Contributed Papers

Advances in Small-Area Estimation and Modeling with Survey, Administrative, and Incomplete Data

Mon, Aug 3, 10:30 AM - 12:20 PM Room CC-257A Thomas M. Menino Convention & Exhibition Center

Elizabeth CarsonChair

Government Statistics Section co: Survey Research Methods Section

6 Presentations

Small Area Estimation for the Annual Integrated Economic Survey

10:35 AM - 10:50 AM

Stephen Kaputa (US Census Bureau)

establishment survey small area estimation Fay-Herriot Bayesian model

A Beta-Binomial Random Forest for Small-Area Estimation of Language Minority Populations in the US

10:50 AM - 11:05 AM

Adam Hall (US Census Bureau)

Co-authors: Joseph Kang (US Census Bureau)

Random Forest Small Area Estimation Machine Learning Government Statistics

The Amplified Bootstrap: Addressing Data Imbalance in Random Forests for Small-Area Estimation

11:05 AM - 11:20 AM

Joseph Kang (US Census Bureau)

Co-authors: Adam Hall (US Census Bureau)

Random Forest Small Area Estimation Machine Learning Government Statistics

Advanced Analyses and Interpretation for Count Data in Non-malignant Hematological Clinical Trials

11:20 AM - 11:35 AM

Xiaoyan Yin (FDA)

Co-authors: Yeh-Fong Chen (FDA)

Count Data Repeated Measurements Negative Binomial Regression Missing Data Covariate adjustment

Missing Data and Composite Estimators in the Current Population Survey

11:35 AM - 11:50 AM

Co-authors: Justin McIllece (Bureau of Labor Statistics)

CPS Current Population Survey Composite Estimator Missing Data Variance Estimation MIS Effect

Modeling CPS Labor Force Estimates with Missing Observations due to the Federal Government Shutdown

11:50 AM - 12:05 PM

Lizhi Liu (Bureau of Labor Statistics)

Co-authors: Jennifer Oh (Bureau of Labor Statistics)

Small Area Estimation State-Space Models Kalman Filter Missing Observation

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