Can Consumer Attitudes Forecast Household Spending in the United States? Further Evidence from the Michigan Survey of Consumers
Why this work is in the frame
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Bibliographic record
Abstract
This article examines the usefulness of various measures of consumer confidence in forecasting household spending in the United States. Using the reduced‐form equation of Carroll, Fuhrer, and Wilcox ( American Economic Review 84:1397‐1408, 1994), we find that for the post‐World War II period, the Index of Consumer Expectations is incrementally more informative about household spending than the Index of Consumer Sentiment for all categories of consumption examined. A similar conclusion emerges when Carroll, Fuhrer, and Wilcox's data set is used. Our overall results confirm the view that indices of consumer confidence reflect consumers' perception of future economic conditions. Also, the ability of these confidence indices to predict future consumption growth can be construed as a clear rejection of the random walk hypothesis of Hall ( Journal of Political Economy 86:971‐87, 1978).
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it