How Should We Measure Consumer Confidence?
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-by-question basis for different subgroups of the population.
Volume (Year): 18 (2004)
Issue (Month): 2 (Spring)
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Caskey, John P, 1985. "Modeling the Formation of Price Expectations: A Bayesian Approach," American Economic Review, American Economic Association, vol. 75(4), pages 768-76, September.
- F. Thomas Juster, 1964. "Anticipations and Purchases: An Analysis of Consumer Behavior," NBER Books, National Bureau of Economic Research, Inc, number just64-1.
- Dominitz, Jeff, 2001. "Estimation of income expectations models using expectations and realization data," Journal of Econometrics, Elsevier, vol. 102(2), pages 165-195, June.
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