<i>Research Note:</i> Modelling Tourism Demand – an Econometric Analysis of North American Tourist Expenditure in Ireland, 1985–2004
Bibliographic record
Abstract
The monetary contribution of inbound North American tourism to the Irish exchequer is economically substantial, generating more tourist revenue earnings per capita in Ireland than visitors from any other country. The purpose of this paper is to present a macroeconometric analysis of North American tourist expenditure in Ireland, thus providing an insight into the effects on expenditure patterns of the adjustment of key macroeconomic variables. Using an econometric causal model, key macroeconomic and demographic variables are regressed on real expenditure of the North American, US and Canadian regions. Among the main findings, it is revealed that the real exchange rate variable and the over-45 age cohort exert a positive and statistically significant result in the case of all three regions. The paper acknowledges that appropriate strategies are required to maximize the potential of those subsectors providing the greatest ‘value for entry’ from an Irish tourism perspective to enable the future proliferation of inbound revenues for the tourism industry.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".