The DOI matches its Crossref record.
Central-Bank Credibility: Why Do We Care? How Do We Build It?
Open accessAbstract
In a word, credibility matters in theory, and it is certainly believed to matter in practice.Empirical evidence on this point, however, is hard to come by because credibility is not easy to measure. 3 This paper seeks to shed light on two main issues: Why and how?Why is credibility so important to central bankers?And how can a central bank create or enhance credibility?I investigate these questions in a rather unconventional way.During the summer of 1998, I mailed a questionnaire to the heads of 127 central banks--the entire membership of the Bank for International Settlements 4 --soliciting their opinions on a variety of issues related to central bank credibility.The response rate was gratifyingly (I might say amazingly) high: 84 of the 127 banks responded, for a response rate of 66%.Their answers provide the main data for this study.5 While I tabulated the answers for OECD central banks and non-OECD central banks separately, I report here mainly the results for the pooled sample of all central banks because--with only a few exceptions--the two groups gave similar responses.6 My primary interest was in the views of actual central bankers.But I sent a substantially identical questionnaire to a similarly-sized sample of (mostly academic) economists who specialize in monetary economics or macroeconomics.7 The purpose was to ascertain whether and how the views of the academics differed from those of the central bankers.Differences might emerge for several reasons.Most obviously, the economists are theorists and econometricians rather than practitioners.In addition, almost all of the economists were either raised or educated in the United States (or both)-whereas the central bankers come from 84 different countries.Somewhat to my
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Central Bank Independence in the World: A New Data Set
Garriga, A. C. (2016) · International Interactions · doi:10.1080/03050629.2016.1188813 · Cited by 411
Green bonds as an instrument to finance low carbon transition
Sartzetakis, E. S. (2021) · Economic Change and Restructuring · doi:10.1007/s10644-020-09266-9 · Cited by 317
The use of technical analysis by fund managers: International evidence
Menkhoff, L. (2010) · Journal of Banking & Finance · doi:10.1016/j.jbankfin.2010.04.014 · Cited by 302
Monetary Policy in the Euro Area: Strategy and Decision-Making at the European Central Bank
Issing, O., Gaspar, V., Angeloni, I., & Tristani, O. (2001) · Cambridge University Press eBooks · doi:10.1017/cbo9780511492457 · Cited by 291
Yang, Y. (2018) · Journal of Service Theory and Practice · doi:10.1108/jstp-06-2017-0102 · Cited by 38
Metadata
- Authors
- Blinder, A. S.
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2000-12-01
- Volume
- 90
- Issue
- 5
- Pages
- 1421-1431
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W2090999325
- Cited by
- 556
- References
- 0
- FWCI
- 36.82
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Central-Bank Credibility: Why Do We Care? How Do We Build It? https://app.cochat.ai/papers/10.1257/aer.90.5.1421
- The paper
- Blinder, A. S. (2000). Central-Bank Credibility: Why Do We Care? How Do We Build It? American Economic Review. https://doi.org/10.1257/aer.90.5.1421
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.