The Impact of Targeted Data Collection on Nonresponse Bias in an Establishment Survey: A Simulation Study of Adaptive Survey Design

McCarthy Jaki (), Wagner James () and Sanders Herschel Lisette ()
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McCarthy Jaki: USDA, National Agricultural Statistics Service, 3251 Old Lee Highway, Fairfax, VA 22030, United States of America.
Wagner James: University of Michigan, Institute for Social Research, 426 Thompson St. Room 4050, Ann Arbor, MI 48104, United States of America.
Sanders Herschel Lisette: RTI International, 701 13th St NW, Suite 750, Washington, DC 20005, United States of America.

Journal of Official Statistics, 2017, vol. 33, issue 3, 857-871

Abstract: Nonresponse rates have been growing over time leading to concerns about survey data quality. Adaptive designs seek to allocate scarce resources by targeting specific subsets of sampled units for additional effort or a different recruitment protocol. In order to be effective in reducing nonresponse, the identified subsets of the sample need two key features: 1) their probabilities of response can be impacted by changing design features, and 2) once they have responded, this can have an impact on estimates after adjustment. The National Agricultural Statistics Service (NASS) is investigating the use of adaptive design techniques in the Crops Acreage, Production, and Stocks Survey (Crops APS). The Crops APS is a survey of establishments which vary in size and, hence, in their potential impact on estimates. In order to identify subgroups for targeted designs, we conducted a simulation study that used Census of Agriculture (COA) data as proxies for similar survey items. Different patterns of nonresponse were simulated to identify subgroups that may reduce estimated nonresponse bias when their response propensities are changed.

Keywords: Adaptive survey design; nonresponse bias; establishment surveys (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:offsta:v:33:y:2017:i:3:p:857-871:n:13

DOI: 10.1515/jos-2017-0039

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