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Intelligence, Social Mobility, and Growth
Abstract
We develop a model where the allocation of human resources, intergenerational social mobility, and technological growth are jointly determined. High growth endogenously increases the equilibrium return to innate cognitive ability and makes the allocation of individuals depend more on innate ability and less on social background. Individuals with a higher level of innate cognitive ability can deal better with less known, but more productive, technologies and thus choose a higher rate of technological growth. A social allocation based on innate ability and high growth will thus reinforce each other, implying the possibility of multiple endogenous growth equilibria. (JEL J62, O1)
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Cited by
Distance to Frontier, Selection, and Economic Growth
Acemoglu, D., Aghion, P., & Zilibotti, F. (2006) · Journal of the European Economic Association · doi:10.1162/jeea.2006.4.1.37 · Cited by 1,507
From Physical to Human Capital Accumulation: Inequality and the Process of Development
Galor, O., & Moav, O. (2004) · Review of Economic Studies · doi:10.1111/0034-6527.00312 · Cited by 1,317
Das Human-Kapital: A Theory of the Demise of the Class Structure
GALOR, O., & MOAV, O. (2006) · Review of Economic Studies · doi:10.1111/j.1467-937x.2006.00370.x · Cited by 469
Distance to Frontier, Selection, and Economic Growth
Acemoglu, D., Aghion, P., & Zilibotti, F. (2002) · SSRN Electronic Journal · doi:10.2139/ssrn.485483 · Cited by 371
Parenting With Style: Altruism and Paternalism in Intergenerational Preference Transmission
Doepke, M., & Zilibotti, F. (2017) · Econometrica · doi:10.3982/ecta14634 · Cited by 348
Metadata
- Authors
- Hassler, J., & Mora, J. V. R.
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2000-09-01
- Volume
- 90
- Issue
- 4
- Pages
- 888-908
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W1972491783
- Cited by
- 176
- References
- 0
- FWCI
- 14.43
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
