Economic policy uncertainty, consumer confidence in major economies and outbound tourism to African countries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Uncertainty, which is the only certain thing about the future, influences economic agents, their behaviours and economic activity. Debates and concerns about policy uncertainty have intensified following events such as the financial crisis, Brexit and more recently, the Covid-19 pandemic. The purpose of this study is to investigate the impact of changes in economic policy uncertainty and consumer confidence in a set of major economies on tourism flows to African countries. Using data over the period of 2005–2019 and applying panel difference generalized method of moments method, our results show that a positive change in consumer confidence in Canada, China, France, Japan, Russia and the United Kingdom (UK) has favorable impact on tourism departures from these countries to 25 African countries. We also find that a positive change in uncertainty in Canada, Russia, Spain and the UK has negative effect on tourist departures from these countries to African countries. The implications of the results for tourism development in African countries are discussed.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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