The value of transactional data to a consumer spending survey.
This article evaluates the potential use of transactional credit and debit card data, provided by the nonprofit Opportunity Insights, to complement the U.S. Bureau of Labor Statistics’ (BLS) Consumer Expenditure Surveys (CE), which measure household spending by type of good or service. The analysis...
| Publicado en: | Monthly Labor Review pp. 1 - 21 |
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| Formato: | Artículo |
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US Department of Labor
Jan2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=192168562&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 192168562 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00981818 MLR jtl: Monthly Labor Review issn: 00981818 maglogo: N pubinfo: dt: Jan2026 pid: 1929 pub: US Department of Labor artinfo: ui: 192168562 ppf: 1 ppct: 20 formats: fmt: @attributes: type: P size: 2MB tig: atl: The value of transactional data to a consumer spending survey. aug: au: Erhard, Laura su: United States. Bureau of Labor Statistics Household budgets Retail industry Consumption (Economics) Consumer surveys Data analysis Industry classification sug: subj: Household budgets Retail industry Consumption (Economics) United States. Bureau of Labor Statistics All other miscellaneous store retailers (except beer and wine-making supplies stores) All Other Miscellaneous Store Retailers (except Tobacco Stores) All other miscellaneous general merchandise stores Administration of General Economic Programs Consumer surveys Data analysis Industry classification ab: This article evaluates the potential use of transactional credit and debit card data, provided by the nonprofit Opportunity Insights, to complement the U.S. Bureau of Labor Statistics’ (BLS) Consumer Expenditure Surveys (CE), which measure household spending by type of good or service. The analysis compares month-to-month spending changes from January 2019 to December 2021 across broad industry categories, finding that transactional data trends align closely with CE data in sectors like food, accommodation, and entertainment, but show lower correlation and greater volatility in others such as information and telecommunication. Key challenges include differences in data organization—transactional data are categorized by merchant type rather than specific goods or services—and the lack of demographic detail and full representativeness in transactional data. Consequently, while transactional data may help identify emerging consumer spending trends and provide more timely preliminary estimates, the study concludes that these data cannot replace CE data for official statistics due to inherent comparability and coverage limitations. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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