The DOI matches its Crossref record.
Econometric Modelling of the Aggregate Time-Series Relationship Between Consumers' Expenditure and Income in the United Kingdom
Abstract
James E. H. Davidson, David F. Hendry, Frank Srba, Stephen Yeo; Econometric Modelling of the Aggregate Time-Series Relationship Between Consumers' Expendit
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Citations
Cited by
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Whom or What Does the Representative Individual Represent?
Kirman, A. P. (1992) · Journal of Economic Perspectives · doi:10.1257/jep.6.2.117 · Cited by 1,595
Stimson, J. A., Mackuen, M. B., & Erikson, R. S. (1995) · American Political Science Review · doi:10.2307/2082973 · Cited by 1,316
Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots
Campbell, J. Y., & Perron, P. (1991) · NBER Macroeconomics Annual · doi:10.1086/654163 · Cited by 1,255
T IME-S ERIES–C ROSS-S ECTION D ATA: What Have We Learned in the Past Few Years?
Beck, N. (2001) · Annual Review of Political Science · doi:10.1146/annurev.polisci.4.1.271 · Cited by 916
Metadata
- Authors
- Davidson, J. E. H., Hendry, D. F., Srba, F., & Yeo, S.
- Venue
- The Economic Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 1978-12
- Volume
- 88
- Issue
- 352
- Pages
- 661
- ISSN
- 0013-0133 (ISSN-L)
- OpenAlex
- W1993465240
- Cited by
- 1,628
- References
- 0
- FWCI
- 37.75
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Econometric Modelling of the Aggregate Time-Series Relationship Between Consumers' Expenditure and Income in the United Kingdom. https://app.cochat.ai/papers/10.2307/2231972
- The paper
- Davidson, J. E. H., Hendry, D. F., Srba, F., & Yeo, S. (1978). Econometric Modelling of the Aggregate Time-Series Relationship Between Consumers' Expenditure and Income in the United Kingdom. The Economic Journal. https://doi.org/10.2307/2231972
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.