Abstract:
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Response rates have been declining over time in federal household surveys, which raises the potential for nonresponse bias in key population statistics. In particular, the COVID-19 pandemic led to numerous disruptions in survey data collection, leading to a sudden drop in response rates for various surveys. A potential solution to the increase in nonresponse is to leverage administrative data from government agencies and third-party data providers when constructing survey weights. This presentation highlights research at the Census Bureau on creating administrative data-based survey weights for a variety of household surveys, such as the Current Population Survey and the American Community Survey. These projects make use of matched income data from the Internal Return Service, demographic data from the Social Security Administration and the decennial census, and industry data from the Census Bureau’s Business Register. The presentation illustrates how the utilization of survey weights that integrate administrative record and third-party data affect various key economic and socio-demographic statistics, such median income, unemployment, and educational attainment.
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