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Record W2143933527 · doi:10.5367/000000007780823159

<i>Research Note:</i> Modelling Tourism Demand – an Econometric Analysis of North American Tourist Expenditure in Ireland, 1985–2004

2007· article· en· W2143933527 on OpenAlex
Paul Hanly, Garret Wade

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTourism Economics · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsTourismEconomicsRevenueIrishEarningsPer capitaEconometric modelExchequerValue (mathematics)Econometric analysisExchange rateMacroeconomicsGeographyFinanceEconometricsPolitical science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.376
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.005
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.045
GPT teacher head0.353
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it