Unterjährige Immobilienindex-Zeitreihen für Deutschland
Bibliographic record
Abstract
Property market indices for periods below one year in Germany The German property market is characterized by a low level of transparency. The official statistics in Germany abondoned to develop and publish an annual or quarterly property price index. Therefore we present and compare a number of property market indices provided by private suppliers. Because of its wide market spectrum (Residential and Commercial), its length and the applied methods of collecting data, we prefer the property market index from the BulwienGesa AG. However, for many applications in econometrics quarterly figures were desirable. To get higher frequently time series we propose the application of interpolation by means of a cubic spline. In order to disaggregate flow figures temporally and to interpolate indices we have to modify one restriction of the well-known cubic spline. Applied to annual price or performance indices we are able to construct time series of i. e. quarterly periodicity. To compare the interpolated rows with original seasonal adjusted quarterly data we use the British Halifax House Price Index.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.017 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.006 |
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 source (direct Gemma or distilled Codex), 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".