Empirical Analysis of Gasoline Demand in Kuwait
Bibliographic record
Abstract
The objective of this paper was to investigate the determinants of gasoline demand in Kuwait and to assess their impact on consumption. We used the Standard Demand Equation (SDE), the Cointegration Techniques, and the Error Correction Model (ECM) on annual time-series data for Kuwait from 1972 to 2018. We obtained a price elasticity of -0.341 in the long-run, while the short-run price elasticity was insignificant, indicating that changes in prices had minimal or no effect on gasoline consumption in Kuwait. This may be at least in part due to consumers shifting their consumption from a higher grade of gasoline to a less expensive grade when prices changed. We also found that the income elasticity is 0.175 in the short-run and 0.234 in the long-run, indicating that income will be more effective in changing consumption in the long-run. We conclude that reducing gasoline subsidies could result in substantial governmental savings, but this may have an inequitable impact on low-income Kuwaitis.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".