A Structural VAR Model for Estimating the Link between Monetary Policy and Home Prices in Israel
Bibliographic record
Abstract
In recent years, the marked increase in home prices in Israel has prompted the need to understand the impact of monetary policy on home prices, including the mag- nitude and persistence of that impact. This paper finds that in response to a positive shock of 1 percentage point in the Bank of Israel's monetary interest rate, nominal home prices decline by 2.6 percent, and real home prices decline by 1.1 percent (and in a symmetrical manner to a negative shock). A broad international comparison indicates that the impact on home prices in Israel of a monetary shock is similar to the average impact worldwide. This paper adds to a wide global research base, and proposes-apparently for the first time in Israel-a structural VAR examination of the dynamic links between monetary policy and home prices. The VAR structure takes into account the main variables in the economy that affect, and are affected by, this link. The main conclusion is that monetary shocks, on their own, were not a dominant factor in explaining the changes in home prices in the research period-from the second quarter of 1995 through the first quarter of 2015.
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 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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".