1{2 "key": "beaumont2020",3 "url": "https://www150.statcan.gc.ca/n1/pub/12-001-x/2020001/article/00001-eng.htm",4 "final_url": "https://www150.statcan.gc.ca/n1/pub/12-001-x/2020001/article/00001-eng.htm",5 "status": 200,6 "content_type": "text/html; charset=UTF-8",7 "fetched": "2026-11-01",8 "bytes": 29121,9 "title": "Are probability surveys bound to disappear for the production of official statistics?",10 "date_modified": null,11 "text_sample": " Are probability surveys bound to disappear for the production of official statistics? { \"@context\" : \"http://schema.org\", \"@type\" : \"CreativeWork\", \"additionalType\" : \"ScholarlyArticle\", \"name\" : \"Are probability surveys bound to disappear for the production of official statistics?\", \"alternateName\" : \"12-001-X202000100001\", \"headline\" : \"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. Some people have even come to believe that probability surveys could gradually disappear. In this article, we review some approaches that can reduce, or even eliminate, the use of probability surveys, all the while preserving a valid statistical inference framework. All the approaches we consider use data from a non-probability source; data from a probability survey are also used in most cases. Some of these approaches rely on the validity of model assumptions, which contrasts with approaches based on the probability sampling design. These design-based approaches are generally not as efficient; yet, they are not subject to the risk of bias due to model misspecification.\", \"url\" : \"https://www150.statcan.gc.ca/n1/pub/12-001-x/2020001/article/00001-eng.htm\", \"sameAs\" : \"https://www150.statcan.gc.ca/n1/pub/12-001-x/2020001/article/00001-fra.htm\", \"keywords\" : \" Statistical matching, Calibration, Non-probabilistic data, Data integration, Fay-Herriot model, Propensity score\", \"about\" : [\"Inference and foundations\", \"History and context\"], \"datePublished\" : \"2020-06-30\", \"spatialCoverage\" : \"Canada\", \"publisher\" : { \"@type\" : \"Organization\", \"additionalType\" : \"GovernmentOrganization\", \"url\" : \"https://www.statcan.gc.ca/eng/start\", \"name\" : \"Government of Canada, Statistics Canada\", \"sameAs\" : [\"https://en.wikipedia.org/wiki/Statistics_Canada\", \"https://twitter.com/statcan_eng\", \"https://www.facebook.com/StatisticsCanada/\"] }, \"author\" :[ { \"@type\" : \"Person\", \"name\" : \"Jean-Francois Beaumont\" } ] } dataLayer1 = []; Skip to main content Skip to \"About this site\" Language selection Français / Gouvernement du Canada Search and menus Search and menus Search Search Statistics Canada Search Topics menu Subjects Data Analysis Reference Geography Census Surveys and statistical programs About StatCan Canada.ca Home 12-001-X Survey Methodology Main page Are probability surveys bound to disappear for the production of official statistics? Survey Methodology Are probability surveys bound to disappear for the production of official statistics? View the most recent version . Archived Content Information identified as archived is provided for reference, research or recordkeeping purposes. It is not subject to the Government of Canada Web Standards and has not been altered or updated since it was archived. Please \" contact us \" to request a format other than those available. Archived This page has been archived on the Web. by Jean-François Beaumont Note 1 Release date: June 30, 2020 More information PDF version Previous Next 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"12}