Effect of cigarette prices on cigarette consumption in Ghana
Why this work is in the frame
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Bibliographic record
Abstract
Introduction: Noncommunicable diseases are on the rise globally, with tobacco consumption being a major risk factor. Reducing tobacco consumption is an important step towards reducing the incidence and prevalence of many noncommunicable diseases. Tax and price measures have been proposed as tobacco control tools. This study investigated the link between cigarette prices and cigarette consumption in Ghana. Methods: Annual time series data for the period 1980-2016 were used. The data came from diverse sources, including WHO, World Bank, and tobacco industry documents. Dynamic Ordinary Least Squares (DOLS), cointegration techniques, and three-stage least squares (3SLS) were used to analyze the data. Results: After controlling for education, income, and population growth, we estimated that the price elasticity of cigarette demand is between -0.35 and -0.52 and statistically significant at 1% level. In the short run, the price elasticity is -0.1. Another variable that significantly reduced cigarette consumption during the period was education, with an elasticity between -1.7 and -2.7. Conclusion: Cigarette demand in Ghana is influenced by cigarette prices and education. We conclude that tobacco taxes that significantly raise retail prices of cigarettes and higher education (including health education) will help reduce cigarette consumption.
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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 | 0.001 | 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 | 0.000 | 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