Has the monetary transmission process in the euro area changed? Evidence vased on VAR estimates
Bibliographic record
Abstract
Empirical evidence on whether the euro area monetary transmission process has changed is, at best, mixed. We argue that this inconclusiveness is likely to be due to the fact that existing empirical studies concentrate on the effects of a particular development on a specific transmission channel. Another problem of this literature is that specific changes could have off-setting effects regarding the overall effectiveness of monetary policy, leaving open the question whether the ability of monetary policy to control inflation has been altered. In order to shed light on this issue, we investigate whether there has been a significant change in the overall transmission of monetary policy to inflation and output by estimating a standard VAR for the euro area and by searching for a possible break date. We find a significant break point around 1996 and some evidence for a second one around 1999. We compare impulse responses to a monetary policy shock for these episodes and find that the well-known "stylised facts" of monetary policy transmission remain valid. Therefore, we argue that the general guiding principles of the Eurosystem monetary policy remain adequate. Moreover, it seems that monetary transmission after 1998 is not very different from before 1996, but probably very different in the interim period. This implies that evidence for the euro area could be biased by an "atypical" interim period 1996-1999. This is part of a series of BIS Working Papers (273 to 278) collecting papers presented at the BIS's Seventh Annual Conference on "Whither monetary policy? Monetary policy challenges in the decade ahead" in Luzern, Switzerland, on 26-27 June 2008. The event brought together senior representatives of central banks and academic institutions to exchange views on this topic. BIS Paper 45 contains the opening address of William R White (BIS), the contributions of the policy panel on "Beyond price stability - the challenges ahead" and speeches by Edmund Phelps (Columbia University) and Martin Wolf (Financial Times). The participants in the policy panel discussion chaired by Malcolm D Knight (BIS) were Martin Feldstein (Harvard University), Stanley Fischer (Bank of Israel), Mark Carney (Bank of Canada) and Jean-Pierre Landau (Banque de France). This Working Paper includes comments by Marvin Goodfriend and Armínio Fraga Neto.
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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 | 0.010 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".