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Propensity-Adjusted Raking with Applications to Current Population Survey Nonresponse

Justin J McIllece


Household nonresponse in the U.S. Current Population Survey (CPS) is addressed through a single ratio adjustment at cell levels defined by geography and urbanicity. Most nonresponse cells are defined within state boundaries, combining primary sampling units that have similar metropolitan status and population size. Though the CPS is a panel survey with differential response rates by rotation group and county level, the current nonresponse adjustment procedure accounts for neither due to instability concerns arising from small adjustment cells. In this paper, Bayesian response propensity adjustment factors (RPAFs) are constructed at the county level, leveraging longitudinal relative response rates to inform a preliminary weight adjustment. The single nonresponse vector is then expanded into a two-dimensional matrix, incorporating rotation group, before raking the RPAF-adjusted sample weights to the marginal totals.