Bibliographic record
Abstract
Introduction -- Applied econometric models in international housing markets : theories and applications -- Risk averse real estate entrepreneurs in mainland China : a probit model approach -- Forecasting real estate stocks prices in Hong Kong : a state space model approach -- Market sentiment and property prices in Hong Kong : a state space model approach -- Superstitious and Hong Kong housing prices : a hedonic pricing approach -- Negative environmental externalities and housing price : a hedonic model approach -- The impact of subprime financial crisis on Germany and Norway real estate market : l1 -- Chow test and quantile regression approach -- Housing prices and external shocks : impact on South Africa and Czech Republic's housing prices : a vector error correction model and impulse response functions approach -- Factors which drive the ups and downs of housing prices in Canada : a Cobb: Douglass approach -- An econometric analysis on reits cycles in Hong Kong, Japan, the US and the UK -- Conclusion: should the mainstream economists neglect and undermine real estate economics? : the "wh-" questions in international housing markets, macro-economy and econometric models context
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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.014 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".