Arbeitspapier
Disentangling the effects of multidimensional monetary policy on inflation and inflation expectations in the euro area
The European Central Bank (ECB) has adopted a mixture of conventional and unconventional tools in order to achieve its mandate of price stability in the current low-inflation, low-interest-rate scenario. This paper contributes to the existing literature by providing a taxonomy of the ECB's policy toolkit and by evaluating its implications on price stability and the anchoring of inflation expectations. I carry out my analysis based on a high-frequency identification and the estimation of a large Bayesian Vector Autoregression. I find evidence of re-anchored expectations as response to quantitative easing and forward guidance, i.e. forecasters revise their long-run expectations upwards. Consequently, inflation increases, which stresses the crucial role of expectations for the transmission of monetary policy.
- Language
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Englisch
- Bibliographic citation
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Series: Discussion Paper ; No. 2020/18
- Classification
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Wirtschaft
Monetary Policy
Large Data Sets: Modeling and Analysis
Bayesian Analysis: General
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Price Level; Inflation; Deflation
- Subject
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Inflation Expectations
Monetary Policy
Large BVAR
High-frequency identification
- Event
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Geistige Schöpfung
- (who)
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Martínez-Hernández, Catalina
- Event
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Veröffentlichung
- (who)
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Freie Universität Berlin, School of Business & Economics
- (where)
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Berlin
- (when)
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2020
- DOI
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doi:10.17169/refubium-28493
- Handle
- URN
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urn:nbn:de:kobv:188-refubium-28745-1
- Last update
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10.03.2025, 11:43 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Martínez-Hernández, Catalina
- Freie Universität Berlin, School of Business & Economics
Time of origin
- 2020