The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Inflation and Welfare
Abstract
This paper surveys research on the welfare cost of inflation. New estimates are provided, based on U.S. time series for 1900–94, interpreted in a variety of ways. It is estimated that the gain from reducing the annual inflation rate from 10 percent to zero is equivalent to an increase in real income of slightly less than one percent. Using aggregate evidence only, it may not be possible to estimate reliably the gains from reducing inflation further, to a rate consistent with zero nominal interest.
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Citations
Cites
A Model of the Demand for Money by Firms
Miller, M. H., & Orr, D. (1966) · The Quarterly Journal of Economics · doi:10.2307/1880728 · Cited by 1,340
Cited by
A Unified Framework for Monetary Theory and Policy Analysis
(2005) · doi:10.1086/429804 · Cited by 1,527
NONLINEARITIES IN THE DYNAMICS OF THE EURO AREA DEMAND FOR M1
Calza, A., & Zaghini, A. (2009) · Macroeconomic Dynamics · doi:10.1017/s1365100508070405 · Cited by 268
Liquidity: A New Monetarist Perspective
Lagos, R., Rocheteau, G., & Wright, R. (2017) · Journal of Economic Literature · doi:10.1257/jel.20141195 · Cited by 267
The asymmetry effect of oil price changes on inflation, and the welfare implication for Ghana
Ayisi, R. K. (2021) · African Journal of Economic and Management Studies · doi:10.1108/ajems-01-2020-0009 · Cited by 15
Metadata
- Authors
- Lucas, Jr.
- Venue
- Econometrica
- Publisher
- The Econometric Society
- Published
- 2000-03
- Volume
- 68
- Issue
- 2
- Pages
- 247-274
- ISSN
- 0012-9682 (ISSN-L)
- 1468-0262
- OpenAlex
- W2165229815
- Cited by
- 752
- References
- 1
- FWCI
- 41.27
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lucas, Jr. (2000). Inflation and Welfare. Econometrica. https://doi.org/10.1111/1468-0262.00109
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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.