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Activity Number: 208 - Survey Estimation
Type: Contributed
Date/Time: Tuesday, August 4, 2020 : 10:00 AM to 2:00 PM
Sponsor: International Statistical Institute
Abstract #313597
Title: Combining Quota and Probability Sub-Sampling Within Enumeration Areas to Produce Reliable Estimates
Author(s): Isabela Bertolini Coelho* and Marcelo Trindade Pitta and Pedro Luis do Nascimento Silva
Companies: NIC.Br and and ENCE / Science
Keywords: non-probability sampling; quota sampling; probability sampling; combining samples; survey weighting

Traditional surveys face increasing challenges due to rising non-response rates and the diminishing resources available to survey organizations. A recently proposed solution involves the combination of non-probability sample surveys (often cheaper) with probability sample surveys (more expensive), using the latter as a reference to weight the former. Considering a special case in which a single survey was designed and carried out by simultaneously using the two sampling approaches in a single field operation, this paper compared the use of quasi-randomization and sample matching methods to assign weights to the non-probability sample. The quasi-randomization method provided the closest point estimates and smaller standard errors (on average) when compared to the benchmark estimates.

Authors who are presenting talks have a * after their name.

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