Beginning in 2024, the economic directorate of the U.S. Census Bureau will introduce the Annual Integrated Economic Survey (AIES), an economy wide survey that replaces a suite of six independently designed ongoing surveys. The AIES sample design requirements are informed by the user community’s longstanding data needs (e.g., national and sub-national tabulations), as well as by extensive respondent research on collection. This paper provides an end-to-end high-level overview of the AIES probability sampling design, including determination of the sampling unit, computation of unit-level inclusion probabilities for the implement probability proportional to size sampling, stratification, allocation, and sample selection and validation. Throughout, I selectively highlight specific challenges of developing a multi-purpose business survey whose collection covers a wide range of economic sectors.
Katherine Jenny Thompson is the Senior Mathematical Statistician in the Economic Directorate of the Census Bureau. Jenny holds a graduate degree in Applied Statistics from the George Washington University and an undergraduate degree in Mathematics from Oberlin College. She is an ASA Fellow, an elected member of the International Statistics Institute, and will serve as ASA Vice President Elect in 2023. Currently, 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.