Consumer confidence and aggregate consumption expenditures in the United States
Bibliographic record
Abstract
This paper examines the relationship between consumer confidence and consumption expenditures in the US for the period 1970:1-2007:4. Consumer confidence surveys are widely reported in the business and economics media and play an important role in the direction of business decisions and equity market movements. Despite the widely cited importance and popularity of consumer confidence indices, empirical studies attempting to establish a causal relationship between consumer confidence indices and consumption expenditures are mixed. This paper employs disaggregated consumer expenditures on services, nondurable and durable goods. The consumption functions for the three categories were obtained from the well-established Fair (2009) Macro-econometric model of the US economy. The results of our regression estimation and cointegration analysis, for both the short and long-run, suggests that consumer confidence is a determining factor for expenditures on consumer durable goods only. This finding supports the work of Blanchard (1993) and Hall (1993).
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".