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How Should We Measure Consumer Confidence

Bibliographic Data

ID4029237
AuthorsJeff Dominitz (Carnegie Mellon University), Charles F Manski (0000-0001-7260-7686, Northwestern University)
Year2004
Volume18
Issue2
Pages51-66
Publication date2004-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Journal of Economic Perspectives (JOURNAL)
Journal identifiersISSN: 0895-3309 • E-ISSN: 1944-7965
PublisherAmerican Economic Association (PUBLISHER • US)
DOI10.1257/0895330041371303
OpenAlexW1966002742
LanguageEN
Citations received14
References cited10

Research on consumer confidence has mainly sought to evaluate the power of available data to predict economic outcomes. In contrast, this article considers how best to measure consumer confidence. We analyze the responses to eight questions that have appeared recently on the Michigan Survey of Consumers; four elicit expectations in the traditional qualitative manner and four use a newer "percent chance" format. Examination of the responses suggests three implications. It makes more sense to ask for expectations of events directly relevant to individual economic decisions than for predictions of general business conditions. Surveys should shift away from qualitative questions in favor of ones eliciting subjective probability judgments. While aggregating responses into an index of consumer confidence may provide simple summary statistics, results should also be presented on a question-byquestion basis for different subgroups of the population

Actuarial science · Ask price · Business · Confidence interval · Consumer confidence index · Data mining · Econometrics · Economics · Population · Sociology · Statistics · Computer Science · Decision-Making and Behavioral Economics · Demography · Mathematics · Psychology · Marketing

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Unique citing works14
Citations per year0,64
Citation span2004 - 2025 (22)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 14

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