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Contributed Papers

Modern Methods for Addressing Missing Data and Nonresponse in Federal Surveys and Administrative Records

Tue, Aug 4, 2:00 PM - 3:50 PM Room CC-102B Thomas M. Menino Convention & Exhibition Center

Hui XieChair

Government Statistics Section

7 Presentations

A Multistate Model Approach to Producer Price Index (PPI) Response & Nonresponse Patterns

2:05 PM - 2:20 PM

Joseph Valentine (Bureau of Labor Statistics)

Co-authors: Monica Moleres (BLS)

Nonresponse Price Index Markov Model Machine Learning Random Forest

Investigation of missing dates on SNAP and TANF administrative records

2:20 PM - 2:35 PM

Government Census SNAP TANF IRS Administrative Records

Multiple imputation of missing race and ethnicity in the 2020 National Hospital Care Survey

2:35 PM - 2:50 PM

Guangyu Zhang (National Center for Health Statistics)

Co-authors: Yulei He (AbbVie), Brian Ward (National Center for Health Statistics)

Multiple imputation missing race and ethnicity The National Hospital Care Survey

Reimagining Imputation: Transitioning to Modern Methods in the Juvenile Facility Census Program

2:50 PM - 3:05 PM

Erica Marquette (US Census Bureau)

Co-authors: Samuel Soares Walton (US Census Bureau), Nora Tran (US Census Bureau)

Imputation Machine Learning Modernization

Using Proxy Pattern Mixture Models to address Nonresponse in Household Level Indicator Variables

3:05 PM - 3:20 PM

James O'Hagan (Census Bureau)

Co-authors: Timothy Trudell (US Census Bureau)

Proxy-Pattern Mixture Models Non-Response Non-Response Bias Analysis PCA MCA

Investigating the Use of R Indicators in SIPP

3:20 PM - 3:35 PM

Peter Schilling (US Census Bureau)

Co-authors: Thomas Chesnut

R Indicator propensity model SIPP

Response Propensity Modeling

3:35 PM - 3:50 PM

Decennial Census Self-Response Predictive Modeling

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