Do House Prices Impact Consumption and Interest Rate? Evidence from OECD Countries using an Agnostic Identification Procedure
Bibliographic record
Abstract
This paper investigates the existence of significant spillovers from the housing sector onto the wider economy for the seven major OECD countries using Uhlig's (2005) agnostic identification procedure. This method allows identifying a housing demand shock in a six-variable VAR model by imposing sign restrictions on the impulse responses of consumer prices, residential investment, real house prices and mortgage loans, while private consumption and nominal interest rate responses are left unrestricted. The results suggest that consumption responds positively and significantly to a house price shock in Canada, France, Japan and the UK. On the other hand, a significant positive delayed response of nominal interest rates follows a house price shock in Germany, Japan, the UK and the US, suggesting that while central banks do not seem to respond instantly and systematically to a housing demand shock, the real repercussions of the latter on the economy tend to translate into higher policy rates after a few quarters.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".