IASS Webinar 13: Making Inferences from Non-probability Samples through Data Integration

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Date(s) - 26/01/2022
2:00 pm - 3:30 pm

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Making Inferences from Non-probability Samples through Data Integration 

Jean-François Beaumont, Statistics Canada 


The International Association of Survey Statisticians (IASS) invites all those who are interested in the topic to participate in its free webinar, to be held on 26th January 2022 at 2pm – 3:30pm CET.   Please register for the webinar



Abstract:  For several decades, national statistical agencies around the world have been using probability surveys as their preferred tool to meet information needs about a population of interest. In the last few years, there has been a wind of change and other data sources are being increasingly explored. Five key factors are behind this trend: the decline in response rates in probability surveys, the high cost of data collection, the increased burden on respondents, the desire for access to “real-time” statistics, and the proliferation of non-probability data sources. In this presentation, I review some data integration approaches that take advantage of both probability and non-probability data sources such as the dual frame weighting, calibration, statistical matching, inverse probability weighting and small area estimation. I discuss the characteristics of each approach, including their benefits and limitations, and present a few empirical results.