Speaker
Katherine Jenny Thompson
Senior Mathematical Statistician
Economic Directorate Unit
U.S. Census Bureau
Date
Friday, September 20, 2024
11:00 A.M. – 12:00 P.M. ET
Location
Nguyen Engineering Building
Room 1109
4511 Patriot Circle
Fairfax, Virginia 22030
Using Partially Synthetic Frames to Evaluate Alternative Sample Designs for Estimating a Rare Business Characteristic
Abstract
In the “traditional'” finite population sampling framework, the sample designer has a complete list (frame) of eligible units with classification information and auxiliary variables related to surveyed characteristics. In our setting, the frame auxiliary variables are weakly related to the survey characteristic, which is not present for most units. Hence, using frame auxiliary variables to assess survey design efficacy can be misleading. Instead, we propose generating multiple partially synthetic frames, modeling characteristic values for each unit on the frame, then drawing repeated samples from each synthetic frame using the candidate sample design(s) to assess finite sample performance for each design within and between the synthetic frames. Focusing on establishment survey data, we illustrate our proposed approach on a subset of industries surveyed annually by the Business Enterprise Research and Development Survey.
About the Speaker
Katherine Jenny Thompson is the Senior Mathematical Statistician in the Economic Directorate of the Census Bureau. Jenny holds a Master of Science degree in Applied Statistics from the George Washington University and a Bachelor of Arts degree in Mathematics from Oberlin College. She is an American Statistical Association (ASA) Fellow, an elected member of the International Statistics Institute, and the Vice President of the ASA. She is the Survey Statistics Editor-in-Chief of the Journal of Survey Statistics and Methodology and an Associate Editor for the Journal of Official Statistics. She has published papers on a variety of topics related to complex surveys in several journals, including the Journal of Official Statistics, Journal of the Royal Statistical Society (Series A), Survey Methodology, Annals of Applied Statistics, International Statistical Review, Journal of Survey Sampling and Methodology, and Public Opinion Quarterly.
Event Organizer
Jonathan L. Auerbach
Assistant Professor, Department of Statistics
College of Engineering and Computing
George Mason University
Ben Seiyon Lee
Assistant Professor, Department of Statistics
College of Engineering and Computing
George Mason University