Empirical Analysis on The Consumption Structure of Urban Residents in Tianjin Based on ELES Model
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Bibliographic record
Abstract
Based on the per capital income of urban residents in Tianjin and other data related to the consumption structure, combined with the extended linear expenditure (ELES) model, we can make an empirical analysis of the consumption structure of urban residents in Tianjin in the six years from 2010~2015, and through the calculation of basic consumption expenditure, income elasticity and price elasticity analysis in recent years, we can also learned the dynamic changes of the consumption structure of urban residents in Tianjin. The results show that the consumption demand of Tianjin urban residents is not strong enough, the consumption structure is not reasonable, the proportion of consumption expenditure is low, and household equipment and transportation are more sensitive to income and their own price.
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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 | 0.000 | 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 | 0.001 |
| 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 it