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Activity Number: 184 - New Research in Small Area Estimation
Type: Contributed
Date/Time: Tuesday, August 4, 2020 : 10:00 AM to 2:00 PM
Sponsor: Survey Research Methods Section
Abstract #312241
Title: Combining Survey Data with Other Data Sources Using Small Area Estimation: A Case Study
Author(s): Golshid Chatrchi* and Héloïse Gauvin and Allen Ding
Companies: Statistics Canada and Statistics Canada and Statistics Canada
Keywords: Small Area Estimation; Data Integration; Modeling; Area-level Model; Prediction; Small domains
Abstract:

With the increasing availability of large data sources, there is an interest in combining survey data with information from these other sources to improve the quality of domain-level statistics. An area-level model approach is considered in the context of small area estimation to integrate survey data with an aggregated source of information. The proposed method is applied to the real problem of estimating the inbound tourism spending, using aggregated Payment Processors’ data and survey data from Visitor Travel Survey (VTS) in Canada. The area-level model is also used to provide timely forecast estimates of foreign tourism spending, using current aggregated Payment Processors’ data and historical VTS data.


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

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