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Cited by 1,309

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Twin Peaks: Growth and Convergence in Models of Distribution Dynamics

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Quah, Danny T.·1996·The Economic Journal

Abstract

Convergence concerns poor economies catching up with rich ones. At issue is what happens to the cross sectional distribution of economies, not whether a single economy tends toward its own steady state. It is the latter, however, that has preoccupied the traditional approach to convergence analysis. This paper describes a body of research that overcomes this shortcoming in the traditional approach. The new findings - on persistence and stratification; on the formation of convergence clubs; and on the distribution polarising into twin peaks of which and poor - suggest the relevance of a class of theoretical ideas, different from the production-function accounting traditionally favored.

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Metadata

Authors
Quah, D. T.
Venue
The Economic Journal
Published
1996-07
Volume
106
Issue
437
Pages
1045
ISSN
0013-0133 (ISSN-L)
OpenAlex
W2044248787
Cited by
1,309
References
2
FWCI
52.35
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Twin Peaks: Growth and Convergence in Models of Distribution Dynamics. https://app.cochat.ai/papers/10.2307/2235377
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Quah, D. T. (1996). Twin Peaks: Growth and Convergence in Models of Distribution Dynamics. The Economic Journal. https://doi.org/10.2307/2235377

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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.