The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Inexorable and Mysterious Tradeoff Between Inflation and Unemployment
Abstract
This paper discusses the short‐run tradeoff between inflation and unemployment. Although this tradeoff remains a necessary building block of business cycle theory, economists have yet to provide a completely satisfactory explanation for it. According to the consensus view among central bankers and monetary economists, a contractionary monetary shock raises unemployment, at least temporarily, and leads to a delayed and gradual fall in inflation. Standard dynamic models of price adjustment, however, cannot explain this pattern of responses. Reconciling the consensus view about the effects of monetary policy with models of price adjustment remains an outstanding puzzle for business cycle theorists.
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Citations
Cites
Inside the black box: the credit channel of monetary policy transmission
Bernanke, B. S., & Gertler, M. (1995) · Journal of Economic Perspectives · doi:10.1257/jep.9.4.27 · Cited by 4,211
Cited by
Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy
Christiano, L. J., Eichenbaum, M., & Evans, C. L. (2005) · Journal of Political Economy · doi:10.1086/426038 · Cited by 6,238
Metadata
- Authors
- Mankiw, N. G.
- Venue
- The Economic Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-04-01
- Volume
- 111
- Issue
- 471
- Pages
- C45-C61
- ISSN
- 0013-0133 (ISSN-L)
- 1468-0297
- OpenAlex
- W3126061893
- Cited by
- 497
- References
- 1
- FWCI
- 62.16
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mankiw, N. G. (2001). The Inexorable and Mysterious Tradeoff Between Inflation and Unemployment. The Economic Journal. https://doi.org/10.1111/1468-0297.00619
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.