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Beyond Balanced Growth
Open accessAbstract
Balanced growth models are commonly used in macroeconomics because they are consistent with the well-known Kaldor facts regarding economic growth. These models, however, are inconsistent with one of the most striking regularities of the growth process—the massive reallocation of labour from agriculture into manufacturing and services. This paper presents a simple model consistent with both the Kaldor facts and the dynamics of sectoral labour reallocation.
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Citations
Cited by
Song, Z., Storesletten, K., & Zilibotti, F. (2011) · American Economic Review · doi:10.1257/aer.101.1.196 · Cited by 1,741
The Middle Class Consensus and Economic Development
Easterly, W. (2001) · Journal of Economic Growth · doi:10.1023/a:1012786330095 · Cited by 971
The U.S. Structural Transformation and Regional Convergence: A Reinterpretation
Caselli, F., & Coleman II, W. J. (2001) · Journal of Political Economy · doi:10.1086/321015 · Cited by 632
Two Perspectives on Preferences and Structural Transformation
Herrendorf, B., Rogerson, R., & Valentinyi, Á. (2013) · American Economic Review · doi:10.1257/aer.103.7.2752 · Cited by 466
Automation and jobs: when technology boosts employment*
Bessen, J. (2019) · Economic Policy · doi:10.1093/epolic/eiaa001 · Cited by 409
Metadata
- Authors
- Kongsamut, P., Rebelo, S., & Xie, D.
- Venue
- The Review of Economic Studies
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-10-01
- Volume
- 68
- Issue
- 4
- Pages
- 869-882
- ISSN
- 0034-6527 (ISSN-L)
- 1467-937X
- OpenAlex
- W2027117074
- Cited by
- 1,030
- References
- 0
- FWCI
- 5.59
- Type
- journal article
- Language
- en
- Open access
- green
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- Kongsamut, P., Rebelo, S., & Xie, D. (2001). Beyond Balanced Growth. The Review of Economic Studies. https://doi.org/10.1111/1467-937x.00193
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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.
