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