The short -and long-run hotel demand in Switzerland ::a weighted marcoeconomic approach
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
This study develops a vector error correction model of hotel demand to incorporate both the short-run demand fluctuations and the long-run tourism growth. We distinguish between endogenous and exogenous variables in model development to advance previous tourism demand modeling. In addition, we develop a weighting scheme to account for the importance of explanatory economic variables that are pertinent to a source market of a destination to increase model accuracy. With an analysis of the Swiss hotel data from the first quarter of 1975 to the fourth of 2016, we found no evidence for the long-run market equilibrium of the three endogenous variables, namely hotel nights, real GDP of Switzerland, and real exchange rate of the Swiss franc. However, the short-run tourism demand depends largely on behavior persistence of tourists, which may have obscured the relationship between tourism demand and other economic variables.
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 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 0.002 |
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