Asymmetric Behavior in Nominal and Real Housing Prices: Evidence from Emerging and Advanced Economies
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
Abstract In this article, we investigate asymmetry in nominal and real housing price series from eleven emerging and twenty advanced economies using the nonparametric Triples test (Randles et al., 1980), which allows identification of different types of asymmetries in economic cycles. We find asymmetry in fewer emerging than advanced economies. In more than half of the latter, nominal prices reach peaks faster than troughs (positive steepness asymmetry), suggesting the presence of downward nominal rigidities. Nominal price asymmetry is found only in slightly over a quarter of the emerging economies. Hence, nominal housing price increases are more likely to be followed by symmetric price falls in emerging than in advanced countries. Regarding real housing prices, peaks are higher than troughs (positive deepness asymmetry) in half of the advanced economies, suggesting the presence of price overshooting during booms, but less undershooting during busts. Weaker evidence of similar asymmetry is found in emergi...
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 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 it