A longitudinal study of the impact of the Sydney Olympics on real estate markets
Bibliographic record
Abstract
Purpose – The purpose of this paper is to examine the impact of the Sydney 2000 Olympic Games on the residential real estate markets of the host city during the bidding, pre-Olympic and post-Olympic periods. Design/methodology/approach – This study uses a difference-in-differences model to analyze the transaction prices for all properties in New South Wales, Australia for the period from 1980 to 2007. Findings – The paper finds that the impact on real estate markets varies across different suburbs in the host city and over time. The real estate markets of host suburbs experience substantially higher growth during the bidding and pre-Olympic periods but not during the post-Olympic period. However, the property prices in non-host suburbs in the host city increase at a higher rate during the pre- and post-Olympic periods but not during the bidding period. Originality/value – This study offers insights into the long-term impact of the Olympic Games on host suburbs and non-host suburbs in the host city during different periods by analyzing a large longitudinal data set over a period of 27 years.
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.
How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".