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

Authors :
McCarthy, Jaki
Wagner, James
Sanders, Herschel Lisette
Source :
Journal of Official Statistics; September 2017, Vol. 33 Issue: 3 p857-871, 15p
Publication Year :
2017

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.

Details

Language :
English
ISSN :
0282423X and 20017367
Volume :
33
Issue :
3
Database :
Supplemental Index
Journal :
Journal of Official Statistics
Publication Type :
Periodical
Accession number :
ejs43166394
Full Text :
https://doi.org/10.1515/jos-2017-0039