Les implications de la stabilisation de la construction résidentielle
Bibliographic record
Abstract
Monetary policy has been recognized as one of the principal reasons for cyclical instability in residential construction. It has been therefore suggested that residential construction should be isolated from monetary policy. This paper is designed to measure the impact of such suggestion. We have used the CANDIDE model for our experimentation. Residential construction is isolated through appropriate adjustments of the intercepts of the equations for residential construction. This led of cause of disturbances in various aggregates of the economy. Hence, a series of simulations was run in such a way that the disturbed aggregates would come close to the corresponding aggregates obtained by the control-solution. This meant additional adjustment in money supply and Treasury Bond yield, which are regarded as proper indicators of monetary policy. It was found that the additional adjustment varied between 9 to 16% in case of money supply and 38 to 45% in case of Treasury Bond yield. In addition, variation in non-residential construction and investment in machinery and equipment was found to be significant. In short, though efficient in stabilizing residential construction, the isolation of residential construction from monetary policy appears to be costly in terms of its impact on monetary policy and capital investment.
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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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".